Fan control circuit and electrical components
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-12
- Publication Date
- 2026-08-14
AI Technical Summary
[0003]但是,大部分电器对风机的控制精度较差,导致电器的能耗较大
[0058]在本实施例中,空调器设置有风机控制电路,该空调器的室内风机产生的风量相对恒定,也即送风量相对恒定,能够减小空调器的送风量变化的情况,同时减小噪声,提高用户体验感。
Smart Images

Figure CN122565732A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of electrical technology, specifically to a fan control circuit and electrical appliance. Background Technology
[0002] Currently, many electrical appliances rely on fans to achieve functions such as air circulation, heat exchange, cooling, or exhaust, in order to provide users with various electrical functions. For example, clothes dryers use fans to blow hot air into the inner drum of the dryer to dry clothes.
[0003] However, most electrical appliances have poor control precision over the fan, resulting in high energy consumption. Summary of the Invention
[0004] This application discloses a fan control circuit and electrical components that can control the air volume generated by the fan to be relatively constant, thereby reducing the energy consumption of the electrical components.
[0005] This application provides a wind turbine control circuit, including:
[0006] A fan is used to rotate and drive the flow of air;
[0007] A speed sensor is used to detect the corresponding speed of the fan;
[0008] The control module is connected to both the fan and the speed sensor, and is configured to:
[0009] Obtain the current rotational speed of the fan as detected by the rotational speed sensor;
[0010] The target air volume and the current rotation speed are input into the trained power prediction model. The trained power prediction model is used to analyze the target air volume and the current rotation speed to obtain the first target operating power of the fan.
[0011] Control the fan to operate at the first target operating power.
[0012] During wind turbine operation, changes in the turbine's operating status or load may occur, leading to variations in the operating power required to maintain a relatively constant airflow. Therefore, in this embodiment, a speed sensor detects the turbine's current speed. The control module, based on a trained power prediction model, analyzes the turbine's current speed and target airflow to determine the first target operating power. The module then controls the turbine to operate at this target operating power, dynamically adjusting its power to continuously meet the target airflow requirements, thus maintaining a relatively constant output airflow, improving turbine efficiency, and reducing overall energy consumption.
[0013] In some embodiments, the wind turbine control circuit further includes an intelligent power module, which is connected to both the control module and the wind turbine.
[0014] The control module is also configured to:
[0015] Determine the target duty cycle based on the first target operating power;
[0016] Based on the target duty cycle, a first pulse width modulation signal is generated and sent to the intelligent power module;
[0017] The intelligent power module is configured as follows:
[0018] The first pulse width modulation signal is amplified to obtain the second pulse width modulation signal;
[0019] The second pulse width modulation signal is sent to the wind turbine to drive the wind turbine to operate at the first target operating power.
[0020] In this embodiment, the first pulse width modulation signal output by the control module is amplified by the intelligent power module to obtain the amplified second pulse width adjustment signal. The fan is then driven to work according to the first target operating power based on the second pulse width adjustment signal, which further improves the accuracy of controlling the operating power of the fan.
[0021] In some embodiments, the control module includes a current sampling unit, a calculation unit, a proportional-integral unit, and an output unit;
[0022] The current sampling unit is configured to collect the operating current of the fan;
[0023] The calculation unit is configured to acquire the current operating current of the fan collected by the current sampling unit, and calculate the deviation between the current operating current and the target operating current corresponding to the first target operating power.
[0024] The proportional-integral unit is configured to perform proportional-integral processing on the deviation value to obtain the target duty cycle.
[0025] The output unit generates a first pulse width modulation signal based on the target duty cycle.
[0026] In this embodiment, a proportional-integral (PI) unit performs proportional-integral processing on the current deviation between the current operating current of the wind turbine and the target operating current corresponding to the first target operating power to obtain the target duty cycle. This allows the output unit to generate a first pulse width modulation (PWM) signal based on the target duty cycle. Employing PI processing eliminates steady-state errors, while also requiring relatively little computation, enabling high-speed processing and thus improving the real-time performance of wind turbine control.
[0027] In some embodiments, the control module includes a current sampling unit configured to collect the operating current of the fan;
[0028] The control module is also configured to:
[0029] The current operating power is calculated based on the current operating current of the fan collected by the current sampling unit.
[0030] After obtaining the first target operating power, the current operating power is compared with the first target operating power;
[0031] If the absolute value of the power difference between the current operating power and the first target operating power is greater than a preset threshold, then the fan is controlled to operate at the first target operating power.
[0032] Because additional current surges may occur during the adjustment of the fan's operating power, in this embodiment, the control module first calculates the current operating power based on the fan's current operating current collected by the current sampling unit. Only when the absolute value of the power difference between the current operating power and the target operating power is greater than a preset threshold, i.e., when the difference between the current operating power and the first target operating power is large, does the control module switch the fan's operating power from the current operating power to the first target operating power. This avoids frequent adjustments to the fan's operating power, thereby reducing current surges, extending the fan's lifespan, and improving the stability of the fan control circuit.
[0033] In some embodiments, the fan control circuit is applied to a garment processing device, and the fan control circuit further includes:
[0034] A humidity sensor is used to detect the internal humidity of the clothing processing equipment.
[0035] The control module is also configured to:
[0036] Obtain the current internal humidity of the clothing processing equipment as detected by the humidity sensor;
[0037] If it is determined that the current internal humidity of the device matches the current airflow level of the fan, then the target airflow level and the current rotation speed are analyzed by the trained power prediction model to obtain the first target operating power of the fan.
[0038] In this embodiment, the humidity sensor detects the internal humidity of the clothing processing equipment. When the control module determines that the current internal humidity matches the current airflow level of the fan, it analyzes the target airflow and current speed of the current airflow level using a trained power prediction model to obtain the first target operating power of the fan. This ensures that the airflow generated by the fan can be maintained at the target airflow level, improving the stability of the airflow generated by the fan and enhancing the drying efficiency and effect of the items in the clothing processing equipment.
[0039] In some embodiments, the control module is further configured to:
[0040] If it is determined that the current internal humidity of the device does not match the current airflow level of the fan, then the target airflow level is determined based on the current internal humidity of the device.
[0041] Based on a preset correspondence, a second target operating power is determined according to the target airflow level; the preset correspondence is used to indicate the correspondence between the airflow level and the operating power of the fan;
[0042] Control the fan to operate at the second target operating power.
[0043] In this embodiment, when the control module determines that the current internal humidity of the equipment does not match the current airflow level of the fan, it first determines the target airflow level based on the current internal humidity of the equipment, and then determines the second target operating power based on the target airflow level according to the second preset correspondence. The control module then controls the fan to operate according to the second target operating power, so that the airflow generated by the fan corresponds to the airflow corresponding to the target airflow level. This achieves dynamic adjustment of the fan's airflow level based on the current internal humidity of the clothes in the clothes drying equipment, thereby dynamically adjusting the airflow generated by the fan and ensuring the drying effect and efficiency of the clothes.
[0044] In some embodiments, the power prediction model is trained based on a training dataset, wherein the training dataset includes multiple sample fan speeds, and sample operating power and sample air volume corresponding to the fan and multiple different loads when the fan rotates at each of the sample fan speeds.
[0045] In this embodiment, the power prediction model is trained by using multiple sample fan speeds and, under the condition that the fan is rotating at each sample fan speed, the sample operating power and sample air volume corresponding to the fan and multiple different loads. The trained power prediction model can accurately predict the first target operating power required to generate the target air volume under different loads and different current fan speeds, thereby improving the accuracy and performance of the power prediction model and achieving precise constant air volume control of the fan.
[0046] This application provides an electrical appliance, including any of the fan control circuits disclosed in this application.
[0047] In this embodiment, the electrical appliance includes a fan control circuit. A speed sensor in the appliance detects the current speed of the fan. The control module in the appliance analyzes the current speed of the fan and the target air volume based on a trained power prediction model, determines the first target operating power of the fan, and controls the fan to operate according to the target operating power. This allows for dynamic adjustment of the fan's operating power, ensuring that the fan's operating power continuously meets the demand for generating the target air volume during operation. This maintains a relatively constant air volume output by the fan, improves the fan's efficiency, and reduces overall energy consumption.
[0048] In some embodiments, the electrical appliance includes a garment handling device;
[0049] The garment processing equipment also includes:
[0050] The body includes an inner tube for holding clothing;
[0051] Heating components are used to heat the air;
[0052] The fan is used to drive the air heated by the heating component to flow into the inner drum to dry the clothes.
[0053] In this embodiment, the clothing processing equipment is equipped with a fan control circuit, which enables the clothing processor to generate a relatively constant air volume, improves the clothing drying efficiency, and reduces the energy consumption of the clothing processing equipment.
[0054] In some embodiments, the electrical appliance includes an air conditioner, and the fan is an indoor fan;
[0055] The air conditioner also includes:
[0056] The indoor heat exchange module is used to exchange heat between the refrigerant and the indoor air;
[0057] The fan is used to drive the flow of indoor air after heat exchange with the indoor heat exchange module.
[0058] In this embodiment, the air conditioner is equipped with a fan control circuit. The air volume generated by the indoor fan of the air conditioner is relatively constant, that is, the air supply volume is relatively constant. This can reduce the variation in the air supply volume of the air conditioner, reduce noise, and improve the user experience. Attached Figure Description
[0059] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0060] Figure 1 This is one of the structural schematic diagrams of a fan control circuit disclosed in an embodiment of this application;
[0061] Figure 2 This is a second schematic diagram of the structure of a fan control circuit disclosed in an embodiment of this application;
[0062] Figure 3 This is the third schematic diagram of a fan control circuit disclosed in the embodiments of this application;
[0063] Figure 4 This is a schematic diagram of the module structure of a control module disclosed in an embodiment of this application;
[0064] Figure 5 This is the fourth schematic diagram of a fan control circuit disclosed in the embodiments of this application;
[0065] Figure 6 This is a schematic diagram of the structure of a first current sampling subunit disclosed in an embodiment of this application;
[0066] Figure 7 This is a schematic diagram of the module structure of an intelligent power module disclosed in an embodiment of this application;
[0067] Figure 8 This is a partial structural diagram of a control module disclosed in an embodiment of this application;
[0068] Figure 9 This is a schematic diagram of the operation of a garment processing device disclosed in an embodiment of this application;
[0069] Figure 10 This is a schematic flowchart of a fan control method disclosed in an embodiment of this application;
[0070] Figure 11 This is a schematic flowchart of another fan control method disclosed in the embodiments of this application. Detailed Implementation
[0071] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0072] It should be noted that the terms "comprising" and "having," and any variations thereof, in the embodiments and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.
[0073] It should be noted that, in the following embodiments, when one element is "connected" to another element, it can be directly connected to the other element, or connected to the other element through an intermediary element.
[0074] The fan in an appliance is used to drive airflow. Whether the airflow is constant affects the appliance's power consumption and noise. Currently, when the fan in an appliance is set to the first speed setting, the airflow produced by the fan is not the same as the airflow corresponding to that first speed setting. In other words, the airflow cannot be kept constant, resulting in low fan efficiency and a longer time for the appliance to reach the desired speed (e.g., if the airflow cannot be kept constant when drying clothes, it will take longer to dry the clothes), leading to high power consumption of the appliance.
[0075] Taking a clothes dryer as an example, this type of dryer includes a drum and a fan. The drum consists of a two-layer, separate structure. The outer layer is driven by a motor, while the inner layer holds the clothes. The fan blows hot air into the drum, raising its temperature. The drying technology works primarily by the motor driving the drum to rotate, lifting the clothes. The hot air, combined with the heat and friction between the inner and outer layers of the drum, evaporates the moisture from the clothes. The combined effect of the hot air and the drum's rotation creates friction between the inner and outer layers, accelerating moisture evaporation.
[0076] Different materials have different airflow requirements; the material's humidity, density, and thermal conductivity all affect the required airflow. Furthermore, the combined use of airflow and temperature can optimize the drying process, improving drying efficiency and the comfort of the dried items. However, during the drying process in a washing machine, the airflow often fails to remain constant, meaning the actual airflow differs from the required airflow. This not only prolongs the drying time (the time needed to bring the clothes' humidity below the preset level), but also leads to uneven drying, mechanical vibration of the motor, and ultimately, damage to clothing. Cotton products, in particular, are prone to shrinkage and deformation, while wool and silk fibers are prone to static electricity, causing fluffy hair and pilling. Additionally, the noise generated during operation disrupts the user's daily life, resulting in a poor user experience.
[0077] The above problems can be avoided by using constant air volume control technology. This application provides a fan control circuit and electrical appliance that can control the air volume generated by the fan to be relatively constant, thereby reducing the energy consumption of the electrical appliance.
[0078] Please refer to Figure 1 This illustrates one of the structural schematic diagrams of a fan control circuit provided in an embodiment of this application. For example... Figure 1 As shown, the fan control circuit 100 may include a fan 110, a speed sensor 120, and a control module 130. The control module 130 is connected to both the fan 110 and the speed sensor 120. The fan 110 rotates to drive airflow. The speed sensor 120 detects the speed of the fan 110. The control module 130 is configured to acquire the current speed of the fan 110 detected by the speed sensor 120, input the target airflow and the current speed into a trained power prediction model, analyze the target airflow and the current speed using the trained power prediction model to obtain a first target operating power for the fan 110, and control the fan 110 to operate according to the first target operating power.
[0079] It should be noted that controlling the fan 110 to operate at the first target operating power means controlling the operating power of the fan 110 to be the first target operating power. The operating power of the fan 110 refers to the power consumed during operation, i.e., the power used by the fan 110 to overcome air resistance, propel airflow, and generate air volume. The operating power of the fan 110 can also refer to the input power of the fan 110, which is the product of the fan 110's operating voltage and operating current. The air volume generated by the fan 110 is positively correlated with the fan's rotational speed, and the fan's rotational speed is positively correlated with the fan's operating power. The target air volume refers to the currently required air volume, which can be set by the target user or determined by the fan control circuit 100 based on actual conditions.
[0080] When the operating power of the fan 110 remains constant, the reactive power (such as the power used for heating) of the motor varies depending on the operating state or load of the motor. Therefore, when the operating power of the fan 110 remains constant, it is impossible to guarantee that the air volume generated by the fan 110 remains constant. The operating state of the motor can include cold and hot states. In this embodiment, in contrast to maintaining a constant operating power of the fan 110, the control module 130 inputs the target air volume and the current rotation speed into the trained power prediction model. By using the trained power prediction model to analyze the target air volume and the current rotation speed, the first target operating power corresponding to the fan 110 is obtained. That is, the target air volume and the current rotation speed are used as input data for the trained power prediction model, and the first target operating power output by the trained power prediction model after analyzing the target air volume and the current rotation speed is obtained. Then, the fan 110 is controlled to operate according to the first target operating power, so as to realize the dynamic adjustment of the operating power of the fan 110. This avoids the change in the air volume generated by the fan 110 due to the change in the reactive power of the fan 110, so that the air volume generated by the fan 110 is maintained at the target air volume. In other words, the air volume generated by the fan 110 is maintained at the target air volume for a period of time, that is, the air volume generated by the fan 110 is kept relatively constant.
[0081] In some embodiments, the control module 130 can communicate with the fan 110 and the speed sensor 120 via wired or wireless communication, respectively, so that the control module 130 can obtain the current speed of the fan 110 detected by the speed sensor 120 and control the fan 110.
[0082] In some embodiments, the fan control circuit 100 can be applied to a garment processing device. The fan control circuit 100 may further include a humidity sensor and / or a first temperature sensor. The humidity sensor is used to detect the internal humidity of the garment processing device, and the first temperature sensor is used to detect the internal temperature of the garment processing device. The control module 130 is also configured to acquire the current internal humidity of the garment processing device detected by the humidity sensor, and / or the current internal temperature of the garment processing device detected by the first temperature sensor, and to determine the target airflow corresponding to the fan 110 based on the current internal humidity and / or the current internal temperature. It should be noted that the internal temperature and humidity of the device can reflect the temperature and humidity of the garments in the garment processing device. The drying effect and drying efficiency of the garments in the garment processing device are related to the internal temperature and humidity of the garment drying device. In this embodiment, the control module is configured to determine the target airflow based on the current internal temperature and humidity of the garment processing device, and to achieve drying according to the target airflow. This can achieve efficient, energy-saving, uniform, and low-noise drying, while protecting the garments and improving the user experience.
[0083] In other embodiments, the fan control circuit 100 is applied in an air conditioner. The fan 110 can be the indoor fan of the air conditioner. The control module 130 is also configured to determine the fan speed level selected by the user and the target airflow corresponding to the selected fan speed level. It should be noted that multiple fan speed levels can be preset. The user can select the desired fan speed level through the air conditioner's remote control, an electronic device communicating with the air conditioner, or the air conditioner's display screen. The control module 130 analyzes the target airflow corresponding to the fan speed level selected by the user and the current speed using a trained power prediction model to obtain the first target operating power corresponding to the fan 110. It then controls the fan 110 to operate according to the first target operating power, so that the airflow generated by the fan 110 matches the fan speed level selected by the user and maintains the target airflow corresponding to that fan speed level, avoiding the user's perception of increased or decreased airflow and improving the user experience.
[0084] In some embodiments, the fan control circuit 100 is applied in an air conditioner. The fan 110 can be the indoor fan of the air conditioner. The air conditioner may also include a second temperature sensor for detecting the indoor ambient temperature corresponding to the indoor environment where the indoor heat exchange module of the air conditioner is located. The control module 130 is further configured to determine a target airflow based on the difference between the current indoor ambient temperature detected by the second temperature sensor and the target indoor ambient temperature. It should be noted that the airflow of the indoor fan of the air conditioner is dynamically adjusted according to the difference between the current indoor ambient temperature and the target indoor ambient temperature, i.e., the load of the air conditioner, to reduce the energy consumption of the air conditioner while maintaining user comfort.
[0085] In some embodiments, the fan 110 may include multiple fan blades and a motor connected to the multiple fan blades. The motor drives the fan blades to rotate, thereby driving airflow. Exemplary motors may include, but are not limited to, brushless DC motors, AC induction motors, and variable frequency motors. The control module 130 can be used to control the supply of a first target operating power to the motor, thereby controlling the fan 110 to operate at the first target operating power.
[0086] In some embodiments, the speed sensor 120 may include, but is not limited to, Hall sensors, magnetoelectric sensors, and photoelectric sensors. A Hall sensor may include a magnetic material (such as a magnet) and Hall elements. The magnetic material is placed on the fan 110 (the motor shaft or blades of the fan 110). When the fan 110 rotates, it drives the magnetic material to rotate. Each time the magnetic material passes a Hall element, it outputs a pulse signal. By calculating the number of pulse signals per unit time, the rotational speed of the fan 110 can be obtained. A magnetoelectric sensor may include a coil and a magnetic material. The magnetic material is placed on the fan 110. When the fan 110 rotates, it drives the magnet to rotate, and the coil senses the change in the magnetic field and outputs a corresponding signal. A photoelectric sensor may include a photoelectric receiving element, a light source, and an encoder disk. An encoder disk is placed on the fan 110. This encoder disk has a light-transmitting area and a light-blocking area. When the fan 110 rotates, the encoder disk rotates accordingly, causing the light from the light source to periodically pass through the light-transmitting area or be blocked by the light-blocking area. The photoelectric receiving element detects the change in the light signal and outputs a corresponding pulse signal. The rotational speed of the fan 110 can be obtained by calculating the number of pulses per unit time; alternatively, a photoelectric sensor may include a photoelectric receiving element, a light source, and a reflector. The reflector is mounted on the fan 110, and the photoelectric receiving element detects changes in the light signal. By calculating the number of pulses per unit time, the rotational speed of the fan 110 can be obtained. It is understood that the structure of the speed sensor 120 described above is merely an example, and other speed sensors capable of detecting the rotational speed of a fan may also be used. This embodiment does not limit this to any particular type.
[0087] In some embodiments, the power prediction model is a multi-input single-output model. The input parameters of the power prediction model may include the target air volume and the current rotational speed of the fan, and the output parameters may include a first target operating power. For example, the power prediction model may include, but is not limited to, recurrent neural networks, convolutional neural networks, or feedforward neural networks. The trained power prediction model can predict the target operating power required to achieve different air volume demands when the fan 110 rotates at different speeds. Therefore, by analyzing the target air volume and the current rotational speed through the trained power prediction model, the first target operating power corresponding to the fan 110 can be obtained, and the fan 110 can be controlled to operate according to the first target operating power, so that the air volume generated by the rotation of the fan 110 is maintained at the target air volume, thereby achieving constant air volume.
[0088] The air resistance varies depending on the ambient temperature where the fan control circuit 100 is located, resulting in different air volumes generated by the fan 110 at the same operating power. In some embodiments, the fan control circuit 100 may further include a third temperature sensor, which is used to detect the ambient temperature corresponding to the environment where the fan 110 is located. The control module 130 is also configured to acquire the current ambient temperature collected by the third temperature sensor, and analyze the target air volume and the current speed of the fan using a power prediction model corresponding to the current ambient temperature to obtain the first target operating power corresponding to the fan 110. It should be noted that the current ambient temperature refers to the temperature of the environment where the fan is located. Multiple preset power prediction models corresponding to multiple ambient temperatures can be preset. By detecting the current ambient temperature of the fan control circuit 100 using the first temperature sensor, the power prediction model corresponding to the current ambient temperature is located from the multiple preset power prediction models, and the target air volume and the current speed of the fan are analyzed using this power prediction model corresponding to the current ambient temperature to obtain the first target operating power corresponding to the fan 110.
[0089] In this embodiment, the power prediction model that analyzes the target air volume and the current speed is matched with the ambient temperature of the environment where the fan is located. This avoids analysis errors caused by different ambient temperatures, improves the accuracy of determining the first target operating power, and thus improves the precision of maintaining a constant air volume.
[0090] In some embodiments, the control module 130 is further configured to determine a first target operating current based on the current operating voltage of the fan 110 and the first target operating power, and control the fan 110 to operate according to the first target operating current, thereby controlling the fan 110 to operate according to the first target operating power. It should be noted that an electrical signal with the first target operating current and a preset voltage can be provided to the input terminal of the fan 110 to ensure that the operating power of the fan 110 is the first target operating power. The operating voltage of a motor is generally determined by the motor's design. By maintaining the fan 110 at a constant operating voltage, the service life of the motor can be extended. In this embodiment, by maintaining a constant operating voltage for the fan 110 and controlling the fan 110 to operate according to the first target operating current, while ensuring the service life of the fan 110, precise control of the fan 110 to operate according to the first target operating power is achieved, thereby ensuring that the airflow generated by the fan 110 is the target airflow.
[0091] It should be noted that, compared to the operating current of the fan 110, the operating power of the fan 110 is relatively stable due to the influence of load and other factors. In other words, the trend of the operating power is easier to fit. Therefore, compared to choosing the operating current, choosing the operating power as the prediction parameter of the power prediction model can reduce the introduction of noise, improve the prediction accuracy of the speed prediction model, and thus ensure the stability of constant air volume control.
[0092] During the operation of the fan 110, its operating state or load may change, causing variations in the operating power required to maintain a relatively constant airflow. Therefore, in this embodiment, the speed sensor 120 detects the current speed of the fan 110. The control module 130, based on a trained power prediction model, analyzes the current speed and target airflow of the fan 110 to determine the first target operating power. It then controls the fan 110 to operate at this target operating power, dynamically adjusting its operating power to ensure that the fan 110's operating power continuously meets the demand for generating the target airflow, thus maintaining a relatively constant output airflow, improving the efficiency of the fan 110, and reducing overall energy consumption.
[0093] In some embodiments, the power prediction model is trained based on a training dataset, which may include multiple sample fan speeds, and sample operating power and sample air volume corresponding to the fan and multiple different loads when the fan rotates at each sample fan speed.
[0094] It should be noted that sample fan speed, sample operating power, and sample air volume can be recorded under different speeds and loads. The fan's operating power and generated air volume are affected by the load. The power prediction model trained based on the training dataset can determine the operating power based on air volume and speed. Since the air volume and power corresponding to the same speed are different under different environmental conditions, this embodiment integrates air volume, speed, and operating power to train the power prediction model. This allows the power prediction model to learn the implicit relationship of environmental factors, thus providing a highly accurate first target operating power and ensuring that the air volume generated by the fan can be maintained at the target air volume.
[0095] For example, a fixed sample fan speed can be established first, then the load can be modified, and the sample airflow and sample operating power under different loads can be recorded to obtain multiple sample airflows and sample operating power corresponding to that sample fan speed. Then, the sample fan speed can be modified, and the above test steps can be repeated until the required multiple sets of sample data are collected. Please refer to Table 1, which shows some of the sample data obtained from the test. For example, groups 9 and 12 represent the test conditions of the same sample fan speed under different loads.
[0096] Table 1 shows some sample data obtained from the test.
[0097] Group number Sample fan speed Sample operating power Sample air volume 1 300 1.5 226 2 400 4.1 356 3 500 7.8 462 4 600 14.28 602 5 700 22.93 706.7 6 800 35.12 826 7 900 51.2 996.4 8 1000 72.04 1083.2 9 1100 97.9 1197.1 10 1200 131.52 1316.3 11 1050 29.4 340.1 12 1100 43.5 544.7 13 1200 68.39 716 14 1300 104.1 965.4 15 1400 144.47 1117.6
[0098] In this embodiment, the power prediction model is trained by using multiple sample fan speeds and, under the condition that the fan is rotating at each sample fan speed, the sample operating power and sample air volume corresponding to the fan and multiple different loads. The trained power prediction model can accurately predict the first target operating power required to generate the target air volume under different loads and different current fan speeds, thereby improving the accuracy and performance of the power prediction model and achieving precise constant air volume control of the fan.
[0099] In some embodiments, if a training dataset is available, the training dataset can be imported into a neural network fitting tool (such as MATLAB). The neural network fitting tool uses the training dataset for training, and after training is complete, it outputs a power prediction model, which is then burned into the control module.
[0100] In some embodiments, if the power prediction model output by the neural network fitting tool is an M-file, the power prediction model can be converted into C code using the neural network fitting tool and then burned into the control module.
[0101] Figure 2This is a second schematic diagram of a wind turbine control circuit provided in an embodiment of this application. (See attached diagram.) Figure 2 As shown, the fan control circuit 200 may further include an intelligent power module 210, which can be connected to the control module 220 and the fan 230 respectively. The control module 220 is further configured to determine a target duty cycle based on a first target operating power, generate a first pulse width modulation signal based on the target duty cycle, and send the first pulse width modulation signal to the intelligent power module 210. The intelligent power module 210 is configured to amplify the first pulse width modulation signal to obtain a second pulse width adjustment signal, and send the second pulse width modulation signal to the fan 230 to drive the fan 230 to operate according to the first target operating power.
[0102] It should be noted that the intelligent power module 210 can be used to amplify the first pulse width modulation signal output by the control module 220 to obtain a second pulse width adjustment signal, and send the second pulse width modulation signal to the fan to drive the fan to operate at the first target operating power. For example, the duty cycle, voltage, and / or power of the second pulse width adjustment signal are greater than those of the first pulse width adjustment signal. In some embodiments, the intelligent power module 210 is configured to amplify the first pulse width modulation signal to obtain the second pulse width modulation signal. Wherein, the signal power corresponding to the first pulse width modulation signal is less than the first target operating power, and the signal power corresponding to the second pulse width adjustment signal is equal to the first target operating power.
[0103] In some embodiments, the intelligent power module 210 may include a switching unit and a driving circuit. The switching unit is connected to the power supply terminal of the intelligent power module, the fan 230, and the driving circuit, respectively. The driving circuit is configured to control the on / off state (conduct or disconnect) of the switching unit according to the first pulse width modulation signal to chop the input signal at the power supply terminal to obtain a second pulse width modulation signal. It should be noted that since the intelligent power module chops the electrical signal input at the power supply terminal through the switching unit, and the switching unit can withstand higher voltages than the control module, that is, the intelligent power module 210 can withstand high-voltage input signals, the voltage amplitude corresponding to the second pulse width modulation signal is greater than the voltage amplitude corresponding to the first pulse width adjustment signal, thus achieving a signal power corresponding to the second pulse width modulation signal that is greater than the signal power corresponding to the first pulse width adjustment signal.
[0104] In some embodiments, the switching unit may include at least one full-bridge inverter. Each full-bridge inverter may include at least two switching transistors. For example, a full-bridge inverter may include four switching transistors. Each switching transistor may be an IGBT (Insulated-Gate Bipolar Transistor), a MOSFET (Metal-Oxide-Semiconductor Field-Effect Transistor), or the like.
[0105] Figure 3 This is shown as a third schematic diagram of a wind turbine control circuit according to an embodiment of this application. Figure 3 As shown, in this embodiment, the fan 310 in the fan control circuit 300 may include a three-phase fan. The first pulse width modulation signal may include a first corresponding first pulse width modulation sub-signal, a second corresponding second pulse width modulation sub-signal, and a third corresponding third pulse width modulation sub-signal. The second pulse width modulation signal may include a first corresponding fourth pulse width modulation sub-signal, a second corresponding fifth pulse width modulation sub-signal, and a third corresponding sixth pulse width modulation sub-signal. The intelligent power module 320 may include a first corresponding first amplification unit 322, a second corresponding second amplification unit 324, and a third corresponding third amplification unit 326. The first amplification unit 322 is configured to amplify the first pulse width modulation sub-signal to obtain the fourth pulse width modulation sub-signal. The second amplification unit 324 is configured to amplify the second pulse width modulation sub-signal to obtain the fifth pulse width modulation sub-signal. The third amplification unit 326 is configured to amplify the third pulse width modulation sub-signal to obtain the sixth pulse width modulation sub-signal. It should be noted that the power factor of a three-phase fan is greater than that of a single-phase motor, which can reduce power loss and improve the fan's energy efficiency. The first amplification unit 322, the second amplification unit 324, and the third amplification unit 326 of the intelligent power module 320 amplify the first pulse width modulation sub-signal, the second pulse width modulation sub-signal, and the third pulse width modulation sub-signal, respectively. That is, each corresponding pulse width modulation signal is independently amplified to form a stable three-phase pulse width modulation signal, ensuring the stable and efficient operation of the fan.
[0106] In this embodiment, an intelligent power module is set to amplify the first pulse width modulation signal output by the control module to obtain an amplified second pulse width adjustment signal. This allows the control module to output a first pulse width modulation signal smaller than the second pulse width modulation signal, and the fan control circuit can also drive the fan to work at the first target operating power. This achieves the goal of driving the fan to work at the first target operating power while reducing the output capability requirements of the control module in the fan control circuit.
[0107] In this embodiment, the first pulse width modulation signal output by the control module is amplified by the intelligent power module to obtain the amplified second pulse width adjustment signal. The fan is then driven to work according to the first target operating power based on the second pulse width adjustment signal, which further improves the accuracy of controlling the operating power of the fan.
[0108] In some embodiments, the control module may include a current sampling unit configured to collect the operating current of the fan. The control module is also configured to calculate the current operating power based on the current operating current collected by the current sampling unit, and after obtaining a first target operating power, compare the current operating power with the first target operating power. If the absolute value of the power difference between the current operating power and the first target operating power is greater than a preset threshold, the control module will control the fan to operate at the first target operating power.
[0109] It should be noted that the preset threshold can be set according to actual needs. The preset threshold can be used to measure whether the absolute value of the power difference between the current operating power and the first target operating power is too large, in order to determine whether the current operating power differs significantly from the first target operating power. After obtaining the first target operating power, the control module compares the current operating power with the first target operating power. Only when the absolute value of the power difference between the current operating power and the first target operating power is greater than the preset threshold will the fan be controlled to operate at the first target operating power.
[0110] In some embodiments, if the absolute value of the power difference between the current operating power and the first target operating power is less than or equal to a preset threshold, the fan is maintained at the current operating power. It should be noted that when the absolute value of the power difference between the current operating power and the first target operating power is less than or equal to the preset threshold, it can be considered that the difference between the current operating power and the first target operating power is very small, and the difference between the airflow generated by the fan at the current operating power and the target airflow is very small. In this case, the fan can be maintained at the current operating power, and current surges can be avoided while keeping the airflow constant.
[0111] Because additional current surges may occur during the adjustment of the fan's operating power, in this embodiment, the control module first calculates the current operating power based on the fan's current operating current collected by the current sampling unit. Only when the absolute value of the power difference between the current operating power and the target operating power is greater than a preset threshold, i.e., when the difference between the current operating power and the first target operating power is large, does the control module switch the fan's operating power from the current operating power to the first target operating power. This avoids frequent adjustments to the fan's operating power, thereby reducing current surges, extending the fan's lifespan, and improving the stability of the fan control circuit.
[0112] Figure 4 This diagram illustrates the module structure of a control module according to an embodiment of this application. In some embodiments, the control module 400 may include a current sampling unit 402, a calculation unit 404, a proportional-integral unit 406, and an output unit 408. The calculation unit 404 is configured to acquire the current operating current of the fan collected by the current sampling unit 402, and calculate the current deviation value between the current operating current and the target operating current corresponding to the first target operating power. The proportional-integral unit 406 is configured to perform proportional-integral processing on the current deviation value to obtain the target duty cycle. The output unit 408 is configured to generate a first pulse width modulation signal based on the target duty cycle.
[0113] It should be noted that if the current operating current of the fan collected by the current sampling unit 402 is an analog signal, the calculation unit 404 may further include an analog-to-digital conversion subunit, which can be used to convert the current operating current of the analog signal into a digital signal of the current operating current. The calculation unit 404 is also configured to calculate the current deviation between the current operating current of the digital signal and the target operating current corresponding to the first target operating power. Proportional-integral (PI) processing refers to a processing method combining proportional control and integral control. PI processing may include positional PI processing and incremental PI processing.
[0114] Taking positional proportional-integral (PI) processing as an example, the PI unit 406 is configured to perform PI processing on the deviation value to obtain the target duty cycle. In this embodiment, by employing positional PI processing, the target duty cycle is directly obtained, and the output unit can directly generate the first pulse width modulation signal based on the target duty cycle, resulting in a fast response speed.
[0115] Taking incremental proportional-integral (PI) processing as an example, the PI unit 406 is configured to perform proportional-integral processing on the deviation value to obtain the duty cycle adjustment amount, and determine the target duty cycle based on the current duty cycle and the duty cycle adjustment amount. In this embodiment, by using incremental PI processing, the duty cycle adjustment amount is calculated, avoiding integral saturation problems. The computational load is small, the anti-interference ability is strong, and small changes in error will not affect the control stability.
[0116] In some embodiments, the current operating current may include a first corresponding current operating phase current, a second corresponding current operating phase current, and a third corresponding current operating phase current, and the target operating current includes a first corresponding target operating phase current, a second corresponding target operating phase current, and a third corresponding target operating phase current. The calculation unit 404 is further configured to acquire the target-corresponding current operating phase current of the wind turbine collected by the current sampling unit 402, and calculate the deviation value between the target-corresponding current operating phase current and the target-corresponding target operating phase current. The proportional-integral unit 406 is configured to perform proportional-integral processing on the target-corresponding deviation value to obtain the target-corresponding target duty cycle. The output unit 408 is configured to generate a target-corresponding first pulse width modulation signal based on the target-corresponding target duty cycle. The target phase can be any one of the first phase, the second phase, and the third phase.
[0117] It should be noted that the calculation unit 404 can calculate the corresponding deviation value based on the corresponding current operating phase current and the corresponding target operating phase current, thereby obtaining the corresponding target duty cycle and the corresponding first pulse width modulation signal. Understandably, the first corresponding first pulse width modulation signal is the first pulse width modulation sub-signal, the second corresponding first pulse width modulation signal is the second pulse width modulation sub-signal, and the third corresponding first pulse width modulation signal is the third pulse width modulation sub-signal.
[0118] In some embodiments, if the first target operating power of the wind turbine output by the power prediction model is the total power of the wind turbine, the control module is further configured to determine the corresponding target operating power based on the first target operating power, and to determine the corresponding target operating phase current based on the corresponding target operating power.
[0119] In some embodiments, if the first target operating power of the wind turbine output by the power prediction model includes each corresponding target operating power, the control module is further configured to determine each corresponding target operating phase current based on each corresponding target operating power.
[0120] In some embodiments, the current sampling unit 402 may include a first current sampling subunit corresponding to the first, a second current sampling subunit corresponding to the second, and a third current sampling subunit corresponding to the third. The first current sampling subunit is configured to collect the first corresponding operating phase current of the fan, the second current sampling subunit is configured to collect the second corresponding operating phase current of the fan, and the third current sampling subunit is configured to collect the third corresponding operating phase current of the fan.
[0121] Since the sum of the currents corresponding to the three phases is zero, and the phase difference between the three phase currents is 120°, the current of the remaining phase can be calculated after obtaining the currents of two phases. In some embodiments, the current sampling unit may include a first current sampling subunit corresponding to the first phase and a second current sampling subunit corresponding to the second phase. The calculation unit 404 may determine the current current corresponding to the third phase based on the current current of the first phase corresponding to the first phase sampled by the first current sampling subunit and the current current current of the second phase corresponding to the second phase sampled by the second current sampling subunit. This allows the current currents of the three phases of the fan to be obtained using only two current sampling subunits, reducing the structure of the current sampling unit and thus reducing the size of the fan control circuit.
[0122] For example, the first phase, the second phase, and the third phase can correspond to any one of the U phase, V phase, and W phase, respectively, and the first phase, the second phase, and the third phase are different. For example, the first phase is the U phase, the second phase is the V phase, and the third phase is the W phase. This embodiment does not limit this.
[0123] In this embodiment, the proportional-integral (PI) unit 406 performs proportional-integral processing on the current deviation between the current operating current of the wind turbine and the target operating current corresponding to the first target operating power to obtain the target duty cycle. This allows the output unit to generate a first pulse width modulation (PWM) signal based on the target duty cycle. Employing PI processing can eliminate steady-state errors, and the computational load is relatively small, enabling high-speed processing and thus improving the real-time performance of wind turbine control.
[0124] In some embodiments, the current sampling unit 402 may also be connected to the intelligent power module. Optionally, the intelligent power module may include a fan drive terminal connected to the input terminal of the fan, which outputs a second pulse width modulation signal to the fan so that the fan operates at a first target operating power. The current sampling unit 402 is connected to the fan drive terminal to collect the operating current of the fan.
[0125] In other embodiments, such as Figure 5 As shown, the intelligent power module 520 may further include a sensing terminal N, to which the current sampling unit 512 is connected. It should be noted that the sensing terminal N is connected to the fan drive terminal S via a switching transistor. The current output from the sensing terminal N is proportional to the current output from the fan drive terminal S. The intelligent power module 520 collects the operating current of the fan by acquiring the current output from the sensing terminal N. Optionally, the switching transistor may include an IGBT, with the emitter of the IGBT connected to the sensing terminal N and the collector of the IGBT connected to the fan drive terminal S.
[0126] In this embodiment, since the sensing terminal N is connected to the fan drive terminal S that provides operating current to the fan 530 through a switching transistor, and is connected to the sensing terminal N of the intelligent power module 520 through the current sampling unit 512, the operating current of the fan is collected, which ensures that the control module 540 can obtain the accurate operating current of the fan without affecting the current output by the fan drive terminal S, that is, without affecting the operation of the fan 530, thus ensuring the stable and reliable operation of the fan 530.
[0127] In some embodiments, the first current sampling subunit is used to differentially amplify the first corresponding current operating phase current and the reference current to obtain a first corresponding detection voltage. This first corresponding detection voltage is positively correlated with the first corresponding current operating phase current, meaning it characterizes the first corresponding current operating phase current. The calculation unit is further configured to acquire the first corresponding detection voltage and calculate the deviation between the voltage value corresponding to the first corresponding detection voltage and the current value corresponding to the first corresponding target operating phase current. It should be noted that the calculation unit can obtain the values corresponding to each corresponding target operating phase current and each corresponding current operating phase current, and calculate the difference between these two values to obtain the deviation value.
[0128] Please refer to Figure 6 This illustrates a schematic diagram of the structure of a first current sampling subunit provided in an embodiment of this application. Figure 6 As shown, the first current sampling subunit may include an operational amplifier U1, a first resistor R1, a second resistor R2, and a third resistor R3. The first resistor R1 is connected to both the corresponding sensing terminal and the non-inverting input terminal U+ of the operational amplifier U1. The first terminal of the second resistor R2 is connected to both the first terminal of the third resistor R3 and the inverting input terminal U- of the operational amplifier U1. The second terminal of the third resistor R3 is connected to the output terminal of the operational amplifier U1. The second terminal of the second resistor R2 is used to input the reference current Iref, and the output terminal of the operational amplifier U1 is used to output the detection voltage Uout.
[0129] It should be noted that the operational amplifier U1, the first resistor R1, the second resistor R2, the third resistor R3, and the fourth resistor form a differential amplifier circuit, which performs differential amplification on the first corresponding current operating phase current Iin1 and the reference current Iref, and outputs the detection voltage Uout from the output terminal of the operational amplifier U1.
[0130] In some embodiments, please refer to Figure 6The first current sampling subunit may also include a bias circuit 610, which is connected to the first resistor R1 and the positive input terminal U+ of the operational amplifier U1 respectively, to provide a bias voltage for the differential amplifier circuit so that the input voltage of the operational amplifier U1 is within a reasonable voltage range.
[0131] For example, the bias circuit 610 may include a fourth resistor R4 and a fifth resistor R5. The first terminal of the fourth resistor R4 is connected to the voltage input terminal Uin, the second terminal of the fourth resistor R4 is connected to the first terminal of the fifth resistor R5, and the second terminal of the fifth resistor R5 is connected to the ground terminal GND. The voltage at the common terminal of the fourth resistor R4 and the fifth resistor R5 is the bias voltage. The common terminal of the fourth resistor R4 and the fifth resistor R5 is connected to the first resistor R1 and the positive input terminal U+ of the operational amplifier U1, respectively. The voltage provided at the voltage input terminal Uin may be +5V.
[0132] In some embodiments, please refer to Figure 6 The first current sampling subunit may further include at least one of a first capacitor C1, a second capacitor C2, and a third capacitor C3. The first capacitor C1 is connected to both the non-inverting input terminal U+ and the inverting input terminal U- of the operational amplifier U1. The second capacitor C2 is connected in parallel with the third resistor R3. The fourth capacitor is connected to both the voltage input terminal Uin and the ground terminal GND. In this embodiment, by providing at least one of the first capacitor C1, the second capacitor C2, and the third capacitor C3, the anti-interference capability of the current sampling subunit can be improved.
[0133] It should be noted that the structures of the second and third current sampling subunits can be referenced from those of the first current sampling subunit, and will not be repeated here.
[0134] Please refer to Figure 7 This illustrates a schematic diagram of the module structure of a smart power module provided in an embodiment of this application. Figure 7 As shown, this intelligent power module can be used to drive a three-phase fan. The intelligent power module includes a first output terminal W, a second output terminal V, and a third output terminal U. The first output terminal W, the second output terminal V, and the third output terminal U are respectively connected to the three-phase input terminals of the fan, providing the fan with a fourth pulse width modulation sub-signal corresponding to W, a fifth pulse width modulation sub-signal corresponding to U, and a sixth pulse width modulation sub-signal corresponding to V, thereby controlling the fan to operate at a first target power.
[0135] In some embodiments, the smart power module may further include a sixth resistor R6 and a seventh resistor R7, the sixth resistor R6 and the seventh resistor R7 are connected, the other end of the sixth resistor R6 is connected to the sensing terminal NU corresponding to U, the other end of the seventh resistor is connected to the ground terminal GND, the current I_B at the common terminal of the sixth resistor R6 and the seventh resistor R7 can be used as a reference current, and the second end of the second resistor is connected to the common terminal between the sixth resistor R6 and the seventh resistor R7.
[0136] In some embodiments, the smart power module may further include an eighth resistor R8, which is connected to a seventh resistor R7, and the other end of the eighth resistor R8 is connected to the sensing terminal NV corresponding to V. The second end of the second resistor in the second current sampling subunit is connected to the common terminal between the eighth resistor R8 and the seventh resistor R7, that is, connected to the common terminal between the sixth resistor R6 and the seventh resistor R7.
[0137] It should be noted that the current I_B at the common terminal of the sixth resistor R6 and the seventh resistor R7 is affected by interference and is similar to the corresponding current of the current operating phase. Therefore, the current I_B is used as the reference current. The current I_B is obtained by differential amplification of the current operating phase current corresponding to the target and the current I_B. The interference of the detection voltage corresponding to the target is small, which improves the accuracy of the detection voltage and ensures the accuracy of the collected current of the current operating phase.
[0138] Figure 8 The diagram shows a partial structural schematic of a control module according to an embodiment of this application. It should be noted that U+ is the non-inverting input terminal of the operational amplifier, and U- is the inverting input terminal of the operational amplifier. Please refer to... Figures 7 to 8 The control module may include the fourth output terminal WH2 and the fifth output terminal WL2 corresponding to W, the sixth output terminal VH2 and the seventh output terminal VL2 corresponding to V, and the eighth output terminal UH2 and the ninth output terminal UL2 corresponding to U. For example... Figure 7 As shown, the intelligent power module also includes the first input terminal WH1 and the second input terminal WL1 corresponding to W, the third input terminal VH1 and the fourth input terminal VL1 corresponding to V, the fifth input terminal UH1 and the sixth input terminal UL1 corresponding to U, and the full-bridge inverters corresponding to the three phases respectively. Figure 6(Not shown). The full-bridge inverter includes an upper half-bridge unit and a lower half-bridge unit. Each corresponding first pulse width modulation (PWM) signal may include two PWM signals to control the on / off state of the upper and lower half-bridge units of each phase of the full-bridge inverter. The fourth output terminal WH2, the sixth output terminal VH2, and the eighth output terminal UH2 are connected to the first input terminal WH1, the third input terminal VH1, and the fifth input terminal UH1, respectively, to control the on / off state of the upper half-bridge units corresponding to phases U, V, and W. The fifth output terminal WL2, the seventh output terminal VL2, and the ninth output terminal UL2 are connected to the second input terminal WL1, the fourth input terminal VL1, and the sixth input terminal UL1, respectively, to control the on / off state of the lower half-bridge units corresponding to phases U, V, and W.
[0139] In some embodiments, the fan control circuit can be applied to the garment processing equipment. The fan control circuit may also include a humidity sensor, which can be used to detect the internal humidity of the garment processing equipment. The control module is also configured to acquire the current internal humidity of the garment processing equipment detected by the humidity sensor, determine whether the current internal humidity matches the current airflow level of the fan, and determine the target operating power of the fan based on the matching result.
[0140] It should be noted that the humidity sensor detects the current internal humidity of the clothing processing equipment, reflecting the current humidity of the clothes. Different current humidity levels require different airflow rates to optimize the drying process and improve drying efficiency. Compared to traditional methods that timed airflow settings or maintained a constant airflow level throughout the drying process, in this embodiment, the control module can determine the target operating power of the fan based on the current internal humidity of the clothing processing equipment, dynamically adjusting the airflow generated by the fan to precisely meet the drying needs of the clothes at different stages and ensure optimal drying results.
[0141] In some embodiments, the control module may pre-store a first preset correspondence, which is used to indicate multiple humidity ranges and corresponding multiple airflow levels. The control module is also configured to determine the current humidity range to which the current internal humidity of the device belongs, and based on the first preset correspondence, determine the target airflow level corresponding to the fan according to the current humidity range. If the target airflow level is consistent with the current airflow level, it is determined that the current internal humidity of the device matches the current airflow level corresponding to the fan. If the target airflow level is inconsistent with the current airflow level, it is determined that the current internal humidity of the device does not match the current airflow level corresponding to the fan.
[0142] It should be noted that the first preset correspondence can be obtained through experimental testing to determine the airflow that achieves a better drying effect in different humidity ranges. In this embodiment, by setting a first preset correspondence to indicate multiple airflow levels corresponding to multiple humidity ranges, the control module can quickly determine the target airflow level based on the first preset correspondence when it obtains the current internal humidity of the clothing processing equipment detected by the humidity sensor.
[0143] In some embodiments, the control module is further configured to, if it is determined that the current internal humidity of the device matches the current air volume level of the fan, analyze the target air volume and the current rotation speed corresponding to the current air volume level through a trained power prediction model to obtain the first target operating power of the fan.
[0144] It should be noted that if the current internal humidity of the equipment matches the current airflow level of the fan, it indicates that the drying effect of drying clothes in the clothing processing equipment is good at the current airflow level. The control module takes the airflow corresponding to the current airflow level as the target airflow and analyzes the target airflow and the current speed through the trained power prediction model to obtain the first target working power of the fan, so that the airflow generated by the fan is the target airflow corresponding to the current airflow level, thereby ensuring a good drying effect for the items in the clothing processing equipment.
[0145] In this embodiment, the humidity sensor detects the internal humidity of the clothing processing equipment. When the control module determines that the current internal humidity matches the current airflow level of the fan, it analyzes the target airflow and current speed of the current airflow level using a trained power prediction model to obtain the first target operating power of the fan. This ensures that the airflow generated by the fan can be maintained at the target airflow level, improving the stability of the airflow generated by the fan and enhancing the drying efficiency and effect of the items in the clothing processing equipment.
[0146] In other embodiments, the control module is further configured to, if it is determined that the current internal humidity of the device does not match the current airflow level of the fan, determine a target airflow level based on the current internal humidity of the device, determine a second target operating power based on a preset correspondence, and control the fan to operate at the second target operating power. The preset correspondence is used to indicate the correspondence between the airflow level and the operating power of the fan.
[0147] For ease of distinction, in the following embodiments, the preset correspondence used to indicate the relationship between the airflow level and the fan's operating power is referred to as the second preset correspondence. It should be noted that when the current internal humidity of the device does not match the current airflow level of the fan, that is, when it is necessary to switch the airflow generated by the fan from the airflow corresponding to the current airflow level to the airflow corresponding to the target airflow level, the control module, by pre-setting the second preset correspondence, determines the second target operating power based on the second preset correspondence and the target airflow level, and controls the fan to operate according to the second target operating power, which can improve the effectiveness of the determined second target operating power.
[0148] It should be noted that this second preset correspondence can be obtained through experimental testing. Since the current rotation speed corresponds to the current air volume level, while the target air volume level is inconsistent with the current air volume level, and the fan speed varies significantly at different air volume levels, and the internal humidity of the clothes dryer changes considerably, by pre-setting the second preset correspondence, the second target operating power can be directly determined, and the air volume generated by the fan can be accurately controlled to be consistent with the air volume corresponding to the target air volume level.
[0149] Compared to traditional solutions that involve timed switching of airflow levels or maintaining a constant airflow level throughout the drying process, in this embodiment, when the control module determines that the current internal humidity of the equipment does not match the current airflow level of the fan, it first determines a target airflow level based on the current internal humidity of the equipment. Then, based on a second preset correspondence, it determines a second target operating power according to the target airflow level and controls the fan to operate at the second target operating power. This ensures that the airflow generated by the fan corresponds to the airflow of the target airflow level, thereby dynamically adjusting the fan's airflow level based on the current internal humidity of the clothes in the clothes drying equipment. This dynamic adjustment of the airflow generated by the fan ensures the drying effect and efficiency of the clothes.
[0150] In this embodiment, the control module can dynamically adjust the airflow generated by the fan based on the internal humidity of the garment processing equipment to ensure the drying effect of the garment processing equipment. Simultaneously, at the same airflow level, it can maintain the airflow generated by the fan at the target airflow level, thereby reducing the required operating time of the fan and lowering energy consumption.
[0151] In some embodiments, the fan control circuit may further include a first temperature sensor for detecting the internal temperature of the garment processing equipment. The control module is further configured to determine whether the current internal temperature and humidity of the garment processing equipment detected by the first temperature sensor match the current airflow level of the fan. If the current internal temperature and humidity match the current airflow level of the fan, a trained power prediction model is used to analyze the target airflow and current rotation speed corresponding to the current airflow level to obtain a first target operating power for the fan. If the current internal temperature and humidity do not match the current airflow level of the fan, a target airflow level is determined based on the current internal humidity. Based on a preset correspondence, a second target operating power is determined according to the target airflow level, and the fan is controlled to operate at the second target operating power.
[0152] It should be noted that since the drying effect and efficiency of clothing are related to the internal temperature and humidity of the clothing drying equipment, in this embodiment, the control module is configured to intelligently adjust the airflow level based on the current internal temperature and humidity of the clothing processing equipment. This achieves a highly efficient, energy-saving, uniform, and low-noise drying process while protecting the clothing and improving the user experience. Compared to solutions that switch airflow levels periodically or maintain a constant airflow level throughout the drying process, the fan control circuit in this embodiment can more accurately meet the drying needs of clothing at different stages of the drying process.
[0153] For example, each airflow level corresponds to at least one humidity range and at least one temperature range. If the current internal humidity of the device does not belong to the humidity range corresponding to the current airflow level, or the current internal temperature of the device does not belong to the temperature range corresponding to the current airflow level, then it is determined that the current internal temperature and the current internal humidity of the device do not match the current airflow level corresponding to the fan. If the current internal humidity of the device belongs to the humidity range corresponding to the current airflow level, and the current internal temperature of the device belongs to the temperature range corresponding to the current airflow level, then it is determined that the current internal temperature and the current internal humidity of the device match the current airflow level corresponding to the fan.
[0154] This application also provides an electrical appliance that may include the fan control circuit provided in any of the embodiments.
[0155] In this embodiment, the electrical appliance includes a fan control circuit. A speed sensor in the appliance detects the current speed of the fan. The control module in the appliance analyzes the current speed of the fan and the target air volume based on a trained power prediction model, determines the first target operating power of the fan, and controls the fan to operate according to the target operating power. This allows for dynamic adjustment of the fan's operating power, ensuring that the fan's operating power continuously meets the demand for generating the target air volume during operation. This maintains a relatively constant air volume output by the fan, improves the fan's efficiency, and reduces overall energy consumption.
[0156] Please refer to Figure 9 The diagram illustrates the operation of a garment processing device, which may include a main body, a heating element 910, and a fan control circuit 920. This garment processing device may include, but is not limited to, a dryer, a washer-dryer combo, or a tumble dryer. The main body may include an inner drum 930 for holding garments 940, and the heating element 910 for heating air. A fan 922 drives the heated air from the heating element 910 to flow into the inner drum 930 to dry the garments 940 contained within it. The heating element 910 may be located within the main body.
[0157] In some embodiments, the heating component 910 may include a heating wire that is energized to heat air. The hot air enters the inner drum and comes into contact with the clothing 940 to evaporate the moisture.
[0158] In other embodiments, the heating assembly 910 may include components such as a compressor, a condenser, an expansion valve, and an evaporator. The compressor compresses the low-temperature, low-pressure refrigerant into a high-temperature, high-pressure gaseous refrigerant, which then enters the condenser. In the condenser, the high-temperature, high-pressure refrigerant transfers heat to the air, raising its temperature and creating hot air. The hot air enters the inner drum 930 and comes into contact with the clothes 940, causing the moisture in the clothes 940 to evaporate. The water vapor is discharged from the inner drum with the hot air and enters the evaporator. In the evaporator, the water vapor encounters the low-temperature refrigerant and condenses into water droplets. Simultaneously, the refrigerant absorbs the heat released during the condensation of the water vapor, becoming a low-temperature, low-pressure gaseous refrigerant, which then returns to the compressor, thus completing the cycle. The condensed water droplets are discharged from the garment processing equipment through a drain pipe, achieving the drying of the clothes 940.
[0159] In this embodiment, the clothing processing equipment is equipped with a fan control circuit, which enables the clothing processor to generate a relatively constant air volume, improves the clothing drying efficiency, and reduces the energy consumption of the clothing processing equipment.
[0160] In some embodiments, the electrical appliance is an air conditioner, which may include a fan control circuit and an indoor heat exchange module. The fan in the fan control circuit is an indoor fan. The indoor heat exchange module is used to exchange heat between the refrigerant and indoor air. The fan drives the flow of indoor air after heat exchange with the indoor heat exchange module. In this embodiment, the air conditioner is equipped with a fan control circuit, and the air volume generated by the indoor fan of the air conditioner is relatively constant, that is, the air supply volume is relatively constant, which can reduce the variation in the air supply volume of the air conditioner, while reducing noise and improving the user experience.
[0161] Please refer to Figure 10 The illustration shows a schematic flowchart of a fan control method provided in an embodiment of this application. This method can be applied to the control module of a fan control circuit. The fan control circuit may include a fan and a speed sensor. For a description of the fan and the speed sensor, please refer to the above embodiment, which will not be repeated here.
[0162] like Figure 10 As shown, the fan control method may include steps 1002 to 1006.
[0163] Step 1002: Obtain the current speed of the fan detected by the speed sensor.
[0164] Step 1004: Input the target air volume and the current speed into the trained power prediction model, and analyze the target air volume and the current speed through the trained power prediction model to obtain the first target operating power of the fan.
[0165] Step 1006: Control the fan to operate at the first target operating power.
[0166] In some embodiments, the wind turbine control circuit further includes an intelligent power module connected to the wind turbine. Controlling the wind turbine to operate at a first target operating power may include the control module determining a target duty cycle based on the first target operating power, and generating a first pulse width modulation (PWM) signal based on the target duty cycle. The control module sends the first PWM signal to the intelligent power module, causing the intelligent power module to amplify the first PWM signal to obtain a second PWM signal, and then sends the second PWM signal to the wind turbine to drive the wind turbine to operate at the first target operating power.
[0167] In some embodiments, the control module collects the operating current of the fan through the current sampling unit, obtains the current operating current of the fan collected by the current sampling unit through the calculation unit, calculates the deviation value between the current operating current and the target operating current corresponding to the first target operating power, performs proportional-integral processing on the deviation value through the proportional-integral unit to obtain the target duty cycle, and generates a first pulse width modulation signal through the output unit based on the target duty cycle.
[0168] In some embodiments, the control module calculates the current operating power based on the current operating current of the fan collected by the current sampling unit, and after obtaining the first target operating power, compares the current operating power with the first target operating power. If the absolute value of the power difference between the current operating power and the first target operating power is greater than a preset threshold, the fan is controlled to operate at the first target operating power.
[0169] In some embodiments, the control module acquires the current internal humidity of the clothing processing device detected by the humidity sensor. If it is determined that the current internal humidity matches the current airflow level of the fan, the target airflow and current rotation speed corresponding to the current airflow level are analyzed by the trained power prediction model to obtain the first target operating power of the fan.
[0170] In some embodiments, if the control module determines that the current internal humidity of the device does not match the current air volume level of the fan, it determines the target air volume level based on the current internal humidity of the device, and determines the second target operating power based on the target air volume level according to the second preset correspondence, and controls the fan to work according to the second target operating power.
[0171] Please refer to Figure 11 This illustrates a flowchart of another fan control method provided in an embodiment of this application. Figure 11 As shown, the fan control method may include steps 1102 to 1118.
[0172] Step 1102: Collect the current operating current of the fan through the current sampling unit and obtain the current speed of the fan detected by the speed sensor.
[0173] Step 1104: Calculate the current operating power based on the current operating current of the fan.
[0174] Step 1106: Determine whether the current internal humidity of the device matches the current airflow level of the fan. If yes, proceed to steps 1108 to 1110; otherwise, proceed to steps 1114 to 1118.
[0175] Step 1108: Analyze the target air volume and current speed corresponding to the current air volume level using the power prediction model obtained through training, and obtain the first target working power corresponding to the fan.
[0176] It should be noted that the target air volume and the current speed are input into the trained power prediction model. The trained power prediction model analyzes the target air volume and the current speed corresponding to the current air volume setting to obtain the first target working power output by the trained power prediction model.
[0177] Step 1110: Determine whether the absolute value of the power difference between the first target working power and the current working power is greater than a preset threshold. If yes, proceed to step 1112; otherwise, return to step 1102.
[0178] Step 1112: Control the fan to operate at the first target operating power.
[0179] Step 1114: Determine the target airflow level based on the current internal humidity of the equipment.
[0180] Step 1116: Based on the second preset correspondence, determine the second target working power according to the target air volume level.
[0181] Step 1118: Control the fan to operate at the second target operating power.
[0182] This application also provides a computer-readable storage medium storing a computer program, wherein when the computer program is executed by the controller, the controller enables the controller to implement any of the wind turbine control methods disclosed in this application.
[0183] This application discloses a computer program product, including a computer program that, when executed by the controller, causes the controller to implement any of the wind turbine control methods disclosed in this application.
[0184] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Those skilled in the art should also recognize that the embodiments described in the specification are optional embodiments, and the actions and modules involved are not necessarily essential to this application.
[0185] In the various embodiments of this application, it should be understood that the sequence number of each process does not necessarily imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0186] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they can be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0187] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0188] If the aforementioned integrated units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-accessible memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several requests to cause a computer device (which can be a personal computer, server, or network device, specifically a processor in the computer device) to execute some or all of the steps of the methods described in the various embodiments of this application.
[0189] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.
[0190] The foregoing has provided a detailed description of a fan control circuit and electrical components disclosed in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.
Claims
1. A fan control circuit, characterized in that, include: A fan is used to rotate and drive the flow of air; A speed sensor is used to detect the corresponding speed of the fan; The control module is connected to both the fan and the speed sensor, and is configured to: Obtain the current rotational speed of the fan as detected by the rotational speed sensor; The target air volume and the current rotation speed are input into the trained power prediction model. The trained power prediction model is used to analyze the target air volume and the current rotation speed to obtain the first target operating power of the fan. Control the fan to operate at the first target operating power.
2. The fan control circuit according to claim 1, characterized in that, The wind turbine control circuit also includes an intelligent power module, which is connected to both the control module and the wind turbine. The control module is also configured to: Determine the target duty cycle based on the first target operating power; Based on the target duty cycle, a first pulse width modulation signal is generated and sent to the intelligent power module; The intelligent power module is configured as follows: The first pulse width modulation signal is amplified to obtain the second pulse width modulation signal; The second pulse width modulation signal is sent to the wind turbine to drive the wind turbine to operate at the first target operating power.
3. The fan control circuit according to claim 2, characterized in that, The control module includes a current sampling unit, a calculation unit, a proportional-integral unit, and an output unit; The current sampling unit is configured to collect the operating current of the fan; The calculation unit is configured to acquire the current operating current of the fan collected by the current sampling unit, and calculate the deviation between the current operating current and the target operating current corresponding to the first target operating power. The proportional-integral unit is configured to perform proportional-integral processing on the deviation value to obtain the target duty cycle. The output unit generates a first pulse width modulation signal based on the target duty cycle.
4. The fan control circuit according to claim 1, characterized in that, The control module includes a current sampling unit, which is configured to collect the operating current of the fan. The control module is also configured to: The current operating power is calculated based on the current operating current of the fan collected by the current sampling unit. After obtaining the first target operating power, the current operating power is compared with the first target operating power; If the absolute value of the power difference between the current operating power and the first target operating power is greater than a preset threshold, then the fan is controlled to operate at the first target operating power.
5. The fan control circuit according to claim 1, characterized in that, The fan control circuit is used in the garment processing equipment, and the fan control circuit further includes: A humidity sensor is used to detect the internal humidity of the clothing processing equipment. The control module is also configured to: Obtain the current internal humidity of the clothing processing equipment as detected by the humidity sensor; If it is determined that the current internal humidity of the device matches the current airflow level of the fan, then the target airflow level and the current rotation speed are analyzed by the trained power prediction model to obtain the first target operating power of the fan.
6. The fan control circuit according to claim 5, characterized in that, The control module is also configured to: If it is determined that the current internal humidity of the device does not match the current airflow level of the fan, then the target airflow level is determined based on the current internal humidity of the device. Based on a preset correspondence, a second target operating power is determined according to the target airflow level; the preset correspondence is used to indicate the correspondence between the airflow level and the operating power of the fan; Control the fan to operate at the second target operating power.
7. The fan control circuit according to claim 1, characterized in that, The power prediction model is trained based on a training dataset, which includes multiple sample fan speeds and, when the fan rotates at each of the sample fan speeds, the sample operating power and the sample air volume corresponding to the fan and multiple different loads.
8. An electrical appliance, characterized in that, Includes the wind turbine control circuit as described in any one of claims 1 to 7.
9. The electrical appliance according to claim 8, characterized in that, The electrical appliance includes a clothing processing device; The garment processing equipment also includes: The body includes an inner tube for holding clothing; Heating components are used to heat the air; The fan is used to drive the air heated by the heating component to flow into the inner drum to dry the clothes.
10. The electrical appliance according to claim 8, characterized in that, The electrical appliance includes an air conditioner, and the fan is an indoor fan; The air conditioner also includes: The indoor heat exchange module is used to exchange heat between the refrigerant and the indoor air; The fan is used to drive the flow of indoor air after heat exchange with the indoor heat exchange module.