A power control method and system for a food processor based on frequency conversion technology

Abstract

This application provides a power control method and system for a food processor based on variable frequency technology. The method involves determining the spatial interference coefficient between multiple parallel motors in the food processor. When the spatial interference coefficient exceeds a preset threshold, the current power margin of each motor is determined based on its real-time active and reactive power combined with a preset power limit curve, and an overload risk indicator is established for the food processor. Based on the overload risk indicator, the load classification state of the food processor is determined by the coupling relationship between the load torque change rate of the mixing shaft and the real-time reactive power of each motor. In the first-level load mode, a linear power distribution strategy is used to allocate power to the food processor. In the second-level load mode, a switching command for the variable frequency parameters of the food processor is triggered, and the motor group of the food processor is adjusted to operate within a preset optimal power range according to the switching command. The technical solution provided in this application can accurately allocate power during multi-motor coordinated operation under electromagnetic coupling effects.

Description

Technical Field

[0001] This application relates to the field of motor power control technology, and more specifically, to a power control method and system for a food processor based on frequency conversion technology. Background Technology

[0002] In modern industrial and technological applications, electric motors serve as a key power source, widely used in industrial automation, new energy vehicles, home appliances, and many other fields. Different scenarios have diverse and precise requirements for the operating states of motors, such as speed and torque. Motor power control not only needs to achieve efficient and stable operation of the motor, but also needs to take into account energy-saving requirements to reduce energy consumption and operating costs. With the continuous progress of power electronics technology and control theory, how to optimize motor power control, improve motor performance, and increase energy utilization has become a focus of industry attention, and innovative technologies and solutions are urgently needed to meet the ever-growing application demands.

[0003] Existing motor power control achieves precise power regulation by adjusting the voltage, current, or frequency of the input motor. Taking the mainstream vector control as an example, it decomposes the three-phase AC power into excitation and torque components, and achieves independent control of the two through coordinate transformation, dynamically adjusting the output power. Variable frequency technology adjusts the voltage and frequency synchronously according to the motor speed requirements to maintain magnetic flux stability and optimize power output. However, in the power control of a food processor, when the motor group of the food processor runs at high speed in a confined space, the winding magnetic fields are coupled to each other (i.e., "electromagnetic coupling effect"). This electromagnetic coupling effect will cause an imbalance in the dynamic power distribution between motors and a response lag, which will lead to insufficient power distribution accuracy when multiple motors are running in tandem. Therefore, how to accurately distribute the power of multiple motors running in tandem under the electromagnetic coupling effect has become a difficult problem for the industry. Summary of the Invention

[0004] This application provides a power control method and system for a food processor based on frequency conversion technology, which can accurately allocate power when multiple motors are running in coordination under electromagnetic coupling effect.

[0005] In a first aspect, this application provides a power control method for a food processor based on frequency conversion technology, comprising the following steps:

[0006] Collect the operating parameter sets of multiple parallel motors of the food processor, and determine the spatial interference coefficient between the motors through the operating parameter sets of each motor;

[0007] When the spatial interference coefficient exceeds the preset threshold, the current power margin of each motor is determined based on the real-time active power and real-time reactive power of each motor combined with the preset power limit curve. When the power margin of at least one motor is detected to be lower than the safety threshold, an overload risk flag for the food processor is generated.

[0008] Based on the overload risk indicator, the load classification of the food processor is identified by the coupling relationship between the load torque change rate of the mixing shaft and the real-time reactive power of each motor, and the load classification status of the food processor is obtained. The load classification status is divided into a first-level load mode and a second-level load mode.

[0009] In the first-level load mode, a linear power distribution strategy is used to distribute power to the food processor. In the second-level load mode, the switching command of the food processor's frequency conversion parameters is triggered based on the power distribution deviation of each motor and the sliding boundary conditions in the power control of the frequency converter.

[0010] Based on the switching command, the motor group of the food processor is adjusted to operate within a preset optimal power range.

[0011] In some embodiments, collecting the operating parameter set of multiple parallel motors of the food processor specifically includes:

[0012] Current sensors, voltage sensors, and speed sensors are deployed at the power input and output shaft ends of each parallel motor in the food processor, and the parameter detection points of each motor are determined.

[0013] Based on the time synchronization protocol, the sensor data of the parameter detection points of each motor are collected synchronously to obtain the original operating data of each motor.

[0014] Outlier removal is performed on the raw operating data of each motor to obtain the valid operating data of each motor;

[0015] Extract the current, voltage, speed, and real-time power parameters of each motor from the corresponding valid operating data to form the operating parameter group for each motor.

[0016] In some embodiments, determining the spatial interference coefficient between motors using the operating parameter set of each motor specifically includes:

[0017] The operating parameter set of each motor is normalized to obtain the normalized operating parameter sequence of each motor;

[0018] Inter-motor interference analysis is performed based on the normalized operating parameter sequence of each motor to obtain the spatial interference coefficient between motors.

[0019] In some embodiments, when the spatial interference coefficient exceeds a preset threshold, determining the current power margin of each motor based on the real-time active power and real-time reactive power of each motor combined with a preset power limit curve specifically includes:

[0020] When the spatial interference coefficient exceeds a preset threshold, the real-time active power and real-time reactive power of each motor are extracted.

[0021] Based on the real-time reactive power of each motor, a preset power limit curve is queried, and the limit active power of the corresponding motor is extracted through the power limit curve.

[0022] Calculate the difference between the limit active power and the real-time active power of each motor to obtain the current power margin of each motor.

[0023] In some embodiments, generating an overload risk flag for the food processor when the power margin of at least one motor is detected to be below a safety threshold specifically includes:

[0024] Set a uniform power margin safety threshold for each motor;

[0025] The current power margin of each motor is compared with the power margin safety threshold.

[0026] If the current power margin of at least one motor is less than the power margin safety threshold, the overload risk determination logic is triggered.

[0027] Based on the triggering result of the overload risk determination logic, an overload risk identifier for the food processor is generated.

[0028] In some embodiments, the linear power allocation strategy for power allocation to the food processor under the primary load mode specifically includes:

[0029] Confirm that the food processor is currently in Level 1 load mode, activate the linear power distribution module, and collect the current total power demand of the food processor and the rated power of each motor;

[0030] The power distribution coefficient of each motor is calculated based on the proportion of the rated power of each motor to the total rated power.

[0031] Based on the total required power and the power allocation coefficient of each motor, calculate the target allocated power for each motor;

[0032] Based on the target power allocation for each motor, a frequency converter control signal is generated for each motor to control the output power of each motor.

[0033] In some embodiments, the operating parameter group includes current value, voltage value, speed and real-time power parameters.

[0034] Secondly, this application provides a power control system for a food processor based on variable frequency technology, used to execute a power control method for a food processor based on variable frequency technology, including:

[0035] The data acquisition module is used to collect the operating parameter sets of multiple parallel motors of the food processor, and to determine the spatial interference coefficient between the motors through the operating parameter sets of each motor.

[0036] The processing module is used to determine the current power margin of each motor based on the real-time active power and real-time reactive power of each motor combined with a preset power limit curve when the spatial interference coefficient exceeds a preset threshold, and to generate an overload risk flag for the food processor when it is detected that the power margin of at least one motor is lower than a safety threshold.

[0037] The processing module is also used to identify the load classification of the food processor based on the overload risk indicator and the coupling relationship between the load torque change rate of the mixing shaft in the food processor and the real-time reactive power of each motor, so as to obtain the load classification status of the food processor. The load classification status is divided into a first-level load mode and a second-level load mode.

[0038] The processing module is also used to perform power allocation on the food processor using a linear power allocation strategy in the first-level load mode, and in the second-level load mode, to trigger the switching command of the food processor's frequency conversion parameters based on the power allocation deviation of each motor and the sliding boundary conditions in the power control of the frequency converter.

[0039] The execution module is used to adjust the motor group of the food processor to operate within a preset optimal power range based on the switching command.

[0040] Thirdly, this application provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the above-described power control method for a chef's machine based on frequency conversion technology.

[0041] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described power control method for a food processor based on frequency conversion technology.

[0042] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects:

[0043] The power control method and system for a food processor based on variable frequency technology provided in this application firstly collects operating parameter sets of multiple parallel motors in the food processor and determines the spatial interference coefficient between the motors using these parameters. Secondly, when the spatial interference coefficient exceeds a preset threshold, the current power margin of each motor is determined based on the real-time active power and real-time reactive power of each motor combined with a preset power limit curve. When at least one motor's power margin is detected to be below a safety threshold, an overload risk indicator for the food processor is generated. Further, based on the overload risk indicator, the load on the mixing shaft of the food processor is... The load classification of the food processor is determined by the coupling relationship between the torque change rate and the real-time reactive power of each motor, resulting in a load classification state of the food processor, which is divided into a primary load mode and a secondary load mode. Then, in the primary load mode, a linear power distribution strategy is used to distribute power to the food processor. In the secondary load mode, a switching command for the frequency conversion parameters of the food processor is triggered based on the power distribution deviation of each motor and the sliding mode boundary conditions in the power control of the frequency converter. Finally, based on the switching command, the motor group of the food processor is adjusted to operate within a preset optimal power range.

[0044] Therefore, this application can accurately allocate power during multi-motor coordinated operation under electromagnetic coupling effects. First, by collecting operating parameters of multiple parallel motors and determining the spatial interference coefficient, the electromagnetic interference between motors can be accurately quantified, providing a scientific basis for subsequent power control and avoiding control deviations caused by interference. Second, when the spatial interference coefficient exceeds the threshold, the power margin is determined by combining power parameters and an overload risk indicator is generated, which can provide timely warning of potential motor overload hazards, improve equipment operation safety, and prevent damage caused by overload. Furthermore, based on the overload risk indicator, load classification is performed through the coupling relationship between load and power, which makes load identification more in line with actual working conditions, laying the foundation for differentiated power control and improving control targeting. Then, the first-level mode uses linear power allocation, and the second-level mode combines deviation and sliding mode boundary conditions to trigger frequency converter parameter switching, which can achieve efficient power allocation and dynamic adjustment under different loads, taking into account stability and adaptability, thereby avoiding power allocation accuracy caused by imbalance in dynamic power allocation between motors and insufficient power allocation accuracy due to response. Based on the switching command, the motor group is adjusted to operate in the optimal power range, which can ensure that the food processor is always in a highly efficient and safe operating state, improving overall energy efficiency and service life. In summary, the technical solution provided in this application can accurately allocate power during the coordinated operation of multiple motors under electromagnetic coupling effects. Attached Figure Description

[0045] Figure 1 This is an exemplary flowchart of a power control method for a food processor based on frequency conversion technology, according to some embodiments of this application.

[0046] Figure 2 This is an exemplary flowchart illustrating the determination of the current power margin according to some embodiments of this application;

[0047] Figure 3 This is an exemplary flowchart illustrating the determination of load grading status according to some embodiments of this application;

[0048] Figure 4 This is a schematic diagram of the power control system for a food processor based on frequency conversion technology, according to some embodiments of this application;

[0049] Figure 5 This is a schematic diagram of the structure of a computer device that implements a power control method for a chef's machine based on frequency conversion technology, according to some embodiments of this application. Detailed Implementation

[0050] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0051] refer to Figure 1 The figure is an exemplary flowchart of a power control method for a food processor based on frequency conversion technology, according to some embodiments of this application. The figure mainly includes the following steps:

[0052] In step S101, the operating parameter sets of multiple parallel motors of the food processor are collected, and the spatial interference coefficient between the motors is determined by the operating parameter sets of each motor.

[0053] In some embodiments, the following steps are used to collect the operating parameters of multiple parallel motors of the food processor:

[0054] Current sensors, voltage sensors, and speed sensors are deployed at the power input and output shaft ends of each parallel motor in the food processor, and the parameter detection points of each motor are determined.

[0055] Based on the time synchronization protocol, the sensor data of the parameter detection points of each motor are collected synchronously to obtain the original operating data of each motor.

[0056] Outlier removal is performed on the raw operating data of each motor to obtain the valid operating data of each motor;

[0057] Extract the current, voltage, speed, and real-time power parameters of each motor from the corresponding valid operating data to form the operating parameter group for each motor.

[0058] In practical implementation, firstly, current sensors, voltage sensors, and speed sensors are respectively deployed at the power input and output shaft ends of each parallel motor of the food processor, and the installation positions of the sensors are designated as parameter detection points, which represent the locations where motor operating status parameters are collected. Secondly, time synchronization (such as the IEEE 588 precise time protocol) is used to ensure that each sensor synchronously collects sensor data from the parameter detection points of each motor under the same time reference, thereby obtaining the raw operating data of each motor. The raw operating data refers to the unprocessed data directly collected by the sensors. Then, the 3-standard deviation criterion is applied. Outlier removal is performed on the raw operating data of each motor to obtain valid operating data for each motor. Specifically, by calculating the mean and standard deviation of the raw operating data, data exceeding the mean ± 3 times the standard deviation are identified as outliers and removed to obtain valid operating data. Valid operating data refers to the dataset that accurately reflects the operating status of the motor after outlier removal. Finally, the current, voltage, speed, and real-time power parameters of each motor are extracted from the corresponding valid operating data to form the operating parameter set for each motor. The real-time power parameters can be derived from the extracted current and voltage values ​​using the active power calculation formula.

[0059] It should be noted that, in this application, the operating parameter group refers to a set of key parameters used to describe the operating state of the motor. The operating parameter group includes current value, voltage value, speed and real-time power parameters. The acquisition of the operating parameter group is the foundation of the entire power control process of the food processor. It provides raw data support for subsequent control logic by accurately collecting and processing core parameters such as current value, voltage value, speed and real-time power of multiple parallel motors.

[0060] In some embodiments, determining the spatial interference coefficient between motors using the operating parameter sets of each motor is achieved through the following steps:

[0061] The operating parameter set of each motor is normalized to obtain the normalized operating parameter sequence of each motor;

[0062] Inter-motor interference analysis is performed based on the normalized operating parameter sequence of each motor to obtain the spatial interference coefficient between motors.

[0063] In practice, firstly, for each motor's operating parameter set, the minimum-maximum normalization method is used to map each parameter value to the [0,1] interval, thereby obtaining the normalized operating parameter sequence of each motor, making parameters of different magnitudes comparable; secondly, based on the normalized operating parameter sequence of each motor, interference analysis between motors is performed to obtain the spatial interference coefficient between motors, that is: for every two motors, the normalized operating parameter sequences corresponding to the two motors are calculated using the Pearson correlation coefficient, and the calculation result is used as the spatial interference coefficient between motors.

[0064] It should be noted that the spatial interference coefficient in this application refers to a parameter that measures the degree of electromagnetic interference between multiple motors during operation. By determining the spatial interference coefficient, the dynamic changes of interference between motors under different loads can be accurately captured. This avoids misjudgment of interference caused by static evaluation and provides a more accurate quantitative basis for interference in subsequent power control, thereby improving the stability and energy efficiency of multi-motor collaborative operation of the food processor.

[0065] In step S102, when the spatial interference coefficient exceeds a preset threshold, the current power margin of each motor is determined based on the real-time active power and real-time reactive power of each motor combined with a preset power limit curve. When it is detected that the power margin of at least one motor is lower than the safety threshold, an overload risk flag for the food processor is generated.

[0066] In some embodiments, reference Figure 2 As shown in the figure, this is an exemplary flowchart for determining the current power margin according to some embodiments of this application. In this embodiment, when the spatial interference coefficient exceeds a preset threshold, the current power margin of each motor can be determined by the following steps based on the real-time active power and real-time reactive power of each motor combined with a preset power limit curve:

[0067] In step S1021, when the spatial interference coefficient exceeds a preset threshold, the real-time active power and real-time reactive power of each motor are extracted.

[0068] In step S1022, a preset power limit curve is queried based on the real-time reactive power of each motor, and the limit active power of the corresponding motor is extracted through the power limit curve.

[0069] In step S1023, the difference between the limit active power and the real-time active power of each motor is calculated to obtain the current power margin of each motor.

[0070] In specific implementation, firstly, when the spatial interference coefficient exceeds a preset threshold, the real-time active power and real-time reactive power of each motor are extracted from the motor operation monitoring database. The preset threshold can be set according to actual needs or expert knowledge, and is not limited here. The real-time active power represents the effective power actually output by the motor, and the real-time reactive power represents the power required for the motor to establish a magnetic field. Secondly, a preset power limit curve is obtained. This power limit curve is the correspondence between active power and reactive power, calibrated experimentally and stored in the control system based on the motor's rated parameters, heat dissipation conditions, and insulation class. Further details are omitted here. Based on the real-time reactive power of each motor, the power limit curve is queried to obtain the maximum active power that the motor can withstand corresponding to the reactive power. The maximum active power represents the maximum active power limit that the motor can withstand without overload under the current operating conditions. Finally, the difference between the maximum active power and the real-time active power of each motor is calculated to obtain the current power margin of each motor.

[0071] It should be noted that in this application, power margin refers to the remaining capacity of the motor before it is overloaded. Determining the power margin is a key link connecting motor operation status monitoring and overload risk warning. By quantifying the difference between the current operating power and the limit power of the motor, it intuitively reflects the safety redundancy of each motor under the current working condition. This parameter not only provides a clear indicator for judging whether the motor is on the verge of overload, but also provides a basis for subsequent load classification identification based on the actual power status, ensuring that the load classification can accurately match the motor's load-bearing capacity. At the same time, the dynamic change of power margin can also provide real-time feedback on the adjustment effect of the power control strategy, providing a quantitative reference for optimizing the power distribution of the motor group. Ultimately, it ensures that the food processor can fully exert its power performance under complex working conditions, while avoiding equipment damage or energy efficiency reduction due to overload.

[0072] In some embodiments, generating an overload risk flag for the food processor when the power margin of at least one motor is detected to be below a safety threshold is specifically achieved through the following steps:

[0073] Set a uniform power margin safety threshold for each motor;

[0074] The current power margin of each motor is compared with the power margin safety threshold.

[0075] If the current power margin of at least one motor is less than the power margin safety threshold, the overload risk determination logic is triggered.

[0076] Based on the triggering result of the overload risk determination logic, an overload risk identifier for the food processor is generated.

[0077] In specific implementation, firstly, based on the motor's design standards, heat dissipation capacity, and long-term operational reliability requirements, and referring to the motor manual or industry standards, a unified power margin safety threshold is set for each motor. This will not be elaborated further here. The power margin safety threshold refers to the minimum allowable power margin value set to prevent the motor from entering an overload state. Secondly, the current power margin of each motor is compared with the power margin safety threshold. Then, if at least one motor's current power margin is less than the power margin safety threshold, an overload risk judgment logic preset in the food processor's power control system is activated through a level signal transition. This overload risk judgment logic refers to preset judgment rules used to confirm whether the system has an overload risk. The judgment principle of the overload risk judgment logic is as follows: First, for the motor (power) that triggers the overload risk judgment logic... For motors with a power margin lower than the safety threshold, continuous sampling verification is performed. If the margin exceeds the limit for three consecutive sampling cycles (the sampling cycle is set according to the motor response characteristics, usually in milliseconds), false judgments caused by instantaneous fluctuations are eliminated. Secondly, combined with the real-time temperature parameters of the motor (obtained through temperature sensors embedded in the motor windings), if the temperature does not exceed the rated temperature rise limit, it is judged as a slight overload risk; if the temperature is close to or exceeds the temperature rise limit, it is upgraded to a severe overload risk. At the same time, the power margin status of other parallel motors is correlated. If only a single motor is triggered and the margins of the other motors are sufficient, it is judged as a local overload risk; if multiple motors are triggered simultaneously, it is judged as a system-level overload risk. Finally, based on the activation status of the overload risk judgment logic, an overload risk identifier for the food processor containing the risk level and the number of the motor at risk is generated.

[0078] It should be noted that the overload risk identifier in this application is a data identifier indicating the possibility of overload in the power control system of the food processor. In the prior art, overload risk identifiers are mostly generated directly based on a single power parameter or a fixed threshold, which is easily affected by instantaneous fluctuations and may lead to misjudgment. Furthermore, they lack detailed distinctions in risk level and scope. This embodiment innovatively incorporates continuous sampling verification of power margin, temperature parameters of the motor at risk, and the operating status of other motors into the judgment logic. Through multi-dimensional parameter coupling, it achieves accurate identification and classification of risks. This approach can not only effectively filter out instantaneous interference and avoid false triggering, but also clarify the severity and scope of the risk, making the overload risk identifier more targeted and instructive.

[0079] In step S103, based on the overload risk indicator, the load classification of the food processor is identified by the coupling relationship between the load torque change rate of the mixing shaft and the real-time reactive power of each motor, and the load classification status of the food processor is obtained. The load classification status is divided into a first-level load mode and a second-level load mode.

[0080] In some embodiments, reference Figure 3As shown in the figure, this is an exemplary flowchart of determining the load classification state according to some embodiments of this application. In this embodiment, based on the overload risk identification, the load classification of the food processor is identified by the coupling relationship between the load torque change rate of the mixing shaft in the food processor and the real-time reactive power of each motor. The load classification state of the food processor can be obtained by the following steps:

[0081] In step S1031, a load classification identification instruction is generated based on the overload risk identifier;

[0082] In step S1032, in response to the load classification identification command, the real-time load torque of the mixing shaft of the food processor is collected and the load torque change rate is calculated, while the real-time reactive power of each motor is extracted.

[0083] In step S1033, a coupling relationship model between the load torque change rate of the stirring shaft and the real-time reactive power of each motor is established, and the load-power coupling degree is obtained by solving the problem.

[0084] In step S1034, the load-power coupling degree is compared with a preset load mode threshold.

[0085] In step S1035, the current load level of the food processor is determined based on the comparison result. The load level is either a level 1 load mode or a level 2 load mode.

[0086] In specific implementation, firstly, based on the overload risk indicator, a load grading identification command is generated through the internal logic triggering mechanism of the food processor's power control system. This load grading identification command is the control signal that initiates the load grading identification process. Secondly, in response to this command, a torque sensor installed on the food processor's mixing shaft collects the real-time load torque, and a numerical differential algorithm (calculated by dividing the torque difference between adjacent sampling times by the time interval) is used to obtain the load torque change rate. Simultaneously, the real-time reactive power of each motor is extracted from the motor operating parameter monitoring module. The load torque change rate is the change in the mixing shaft load torque per unit time. Furthermore, a coupling relationship model between the mixing shaft load torque change rate and the real-time reactive power of each motor is established, and the load-power coupling degree is obtained by solving for it. That is, multiple linear regression analysis is used to establish the coupling relationship between the mixing shaft load torque change rate and the real-time reactive power of each motor. The model is solved using the least squares method to obtain the load-power coupling degree, which characterizes the correlation between the load torque change rate and the reactive power. The load-power coupling degree represents the parameter that measures the degree of correlation between the load torque change and the motor reactive power change. Then, the load-power coupling degree is numerically compared with a preset load mode threshold (i.e., calibrated experimentally based on the design load range of the food processor and the motor's load capacity), using hardware comparison circuits or software logic judgment. Finally, based on the comparison results, if the load-power coupling degree is lower than the load mode threshold, it is determined to be a level one load mode; if the load-power coupling degree is greater than or equal to the load mode threshold, it is determined to be a level two load mode. The final load classification state of the food processor is obtained, where the level one load mode represents the normal load mode of the food processor, and the level two load mode represents the overload risk mode of the food processor.

[0087] It should be noted that the load classification status in this application is a classification identifier reflecting the current load intensity and motor operating pressure of the food processor. Existing technologies often rely on a single parameter (such as motor output power or load torque) for load classification, which is prone to classification deviation due to fluctuations in operating conditions and is difficult to reflect the intrinsic relationship between load and motor operating status. This embodiment innovatively uses the coupling relationship between the change rate of the mixing shaft load torque and the real-time reactive power of the motor as the classification basis. By establishing a coupling model and calculating the coupling degree, classification is achieved, breaking through the limitations of traditional single parameters. This method can accurately capture the dynamic correlation between load changes and motor electromagnetic state, making the classification results more consistent with actual operating conditions. At the same time, classification is triggered based on overload risk indicators, ensuring the relevance of classification in risk scenarios and avoiding invalid classification when there is no risk.

[0088] In step S104, a linear power distribution strategy is used to distribute power to the food processor in the first-level load mode. In the second-level load mode, the switching command of the food processor's frequency conversion parameters is triggered according to the power distribution deviation of each motor and the sliding boundary condition in the power control of the frequency converter.

[0089] In some embodiments, the power allocation strategy for the food processor under the first-level load mode is implemented using the following steps:

[0090] Confirm that the food processor is currently in Level 1 load mode, activate the linear power distribution module, and collect the current total power demand of the food processor and the rated power of each motor;

[0091] The power distribution coefficient of each motor is calculated based on the proportion of the rated power of each motor to the total rated power.

[0092] Based on the total required power and the power allocation coefficient of each motor, calculate the target allocated power for each motor;

[0093] Based on the target power allocation for each motor, a frequency converter control signal is generated for each motor to control the output power of each motor.

[0094] In specific implementation, firstly, when it is confirmed that the food processor is currently in the first-level load mode, the preset linear power allocation module is activated. This linear power allocation module is a functional unit that implements a linear proportional power allocation algorithm. It collects the food processor's current total power demand through a power sensor and retrieves the rated power of each motor from the motor parameter storage unit. The total power demand refers to the total power required for the food processor to operate at its current level, and the rated power refers to the maximum power specified for long-term safe operation during motor design. Secondly, a proportional allocation algorithm is used, that is, the rated power of each motor is divided by the sum of the rated power of all motors to obtain the power of each motor. The power allocation coefficient is a coefficient that characterizes the proportion of total power that should be allocated to each motor. Then, the total power demand collected is multiplied by the power allocation coefficient of each motor, and the result is the target allocated power of each motor. The target allocated power refers to the power value that each motor should output. Finally, the power control system of the food processor generates the corresponding frequency conversion adjustment signal for each motor through PWM (Pulse Width Modulation) technology based on the corresponding target allocated power, and outputs it to the frequency conversion driver of each motor to control the output power of the motor. The frequency conversion adjustment signal is a control signal used to adjust the power supply frequency and voltage of the motor.

[0095] It should be noted that the linear power allocation strategy in this application refers to a control method that allocates the total power demand of the system according to a fixed proportion of the rated power of each motor to the total rated power. Its core is to achieve balanced power distribution among multiple motors by maintaining the power allocation ratio consistent with the rated power proportion. The advantage of this strategy is that, under relatively stable load conditions with minimal interference, such as a single-level load mode, it simplifies the calculation logic of power allocation, reduces the computational load on the control system, and ensures that each motor bears the load proportionally according to its rated capacity, avoiding overload of a single motor. Furthermore, the linear proportional allocation makes the operating status of the motor group easier to predict and control, providing efficient and reliable power support for the food processor under stable loads, thus ensuring the economy and safety of equipment operation.

[0096] In some embodiments, under the secondary load mode, the switching command for the inverter parameters of the food processor is triggered based on the power distribution deviation of each motor and the sliding mode boundary condition in the power control of the inverter food processor, specifically through the following steps:

[0097] Confirm that the food processor is currently in the secondary load mode, start the nonlinear power adjustment module, and collect the real-time output power of each motor and the corresponding target power allocation, and calculate the power allocation deviation of each motor.

[0098] Call the preset sliding mold boundary condition parameters in the power control of the variable frequency food processor;

[0099] The power distribution deviation of each motor is compared with the sliding mode boundary condition. When the power distribution deviation of any motor exceeds the sliding mode boundary condition, a switching command for the corresponding motor frequency conversion parameters is generated.

[0100] The switching commands for the frequency conversion parameters of each motor are summarized and output to the frequency conversion control unit of the food processor.

[0101] In practice, firstly, when the control system confirms that the food processor is in a secondary load mode, it activates a preset nonlinear power adjustment module. This nonlinear power adjustment module is a functional unit used to handle power adjustment under complex loads. It collects the real-time output power of each motor through power sensors and retrieves its corresponding target allocation power. The power allocation deviation of each motor is obtained by using a difference calculation method (real-time output power minus target allocation power). The power allocation deviation refers to the difference between the actual output power of the motor and the power that should be allocated. Secondly, it retrieves a preset sliding mold boundary strip from the parameter library of the food processor's power control system. The sliding mode boundary condition parameters are critical values ​​set based on sliding mode control theory to define the allowable range of power distribution deviation, which will not be elaborated here. Then, a comparator is used to compare the power distribution deviation of each motor with the sliding mode boundary condition one by one. When the power distribution deviation of any motor exceeds the sliding mode boundary condition, the control unit in the power control system of the food processor generates a switching command for the corresponding motor frequency conversion parameters. The switching command refers to the control command used to adjust the power supply frequency and voltage parameters of the motor. Finally, the switching commands for all motor frequency conversion parameters are summarized and integrated, and output to the frequency conversion control unit of the food processor.

[0102] It should be noted that, in this application, the frequency conversion control unit refers to the hardware module that performs frequency conversion parameter adjustments to control the motor's operating state.

[0103] In step S105, the motor group of the food processor is adjusted to operate within a preset optimal power range based on the switching command.

[0104] In some embodiments, adjusting the motor group of the food processor to operate within a preset optimal power range based on the switching command is achieved through the following steps:

[0105] Receive the switching command and retrieve the preset optimal power range parameters;

[0106] Based on the adjustment target corresponding to the switching command, the real-time total power of the motor group and the output power of each motor are collected;

[0107] The real-time total power is compared with the upper and lower limits of the optimal power range to determine whether the current power state deviates from the optimal range.

[0108] When it is determined that the current power state deviates from the optimal range, the frequency conversion parameter adjustment amount of each motor is generated based on the switching command;

[0109] The operating frequency and voltage of each motor are dynamically corrected according to the frequency conversion parameter adjustment amount.

[0110] The total power of the motor group is monitored in real time until it is within the preset optimal power range.

[0111] In specific implementation, firstly, after receiving the switching command, the frequency converter control unit retrieves the preset optimal power range parameter from the parameter memory of the food processor's power control system. This optimal power range parameter is the power optimal range calibrated based on the motor energy efficiency curve and the food processor's operating characteristics, which will not be elaborated here. Secondly, based on the adjustment target (such as power increase or decrease) contained in the switching command, the real-time total power of the motor group is obtained through the power acquisition circuit, and the output power of each motor is simultaneously acquired. The real-time total power refers to the sum of the output power of all motors at the current moment. Further, a numerical comparator is used to compare the real-time total power with the upper and lower limits of the optimal power range, and a logic judgment circuit determines whether the current power state deviates from the optimal range. The deviation judgment refers to the judgment result of whether the real-time power exceeds or falls below the optimal range. Furthermore, when it is determined that the current power state deviates from the optimal range, based on the adjustment range of the switching command, a PID control algorithm (which calculates the deviation correction amount through proportional, integral, and derivative components) is used to generate the frequency converter parameter adjustment amount for each motor. This will not be elaborated here. The frequency converter parameter adjustment amount refers to the frequency and voltage that need to be adjusted. The specific numerical change of the pressure; then, the operating frequency and voltage of each motor are dynamically corrected according to the frequency conversion parameter adjustment amount, that is: the power control system of the food processor converts the frequency conversion parameter adjustment amount into the corresponding frequency adjustment value and voltage adjustment value, wherein the frequency adjustment value determines the change range of the motor speed, and the voltage adjustment value changes proportionally with the frequency adjustment value to maintain the stability of the motor magnetic flux. Subsequently, through the inverter in the frequency conversion drive circuit, the conduction and cut-off frequency of the switching transistor is changed according to the frequency adjustment value, thereby outputting AC power of the corresponding frequency. At the same time, the duty cycle of the switching transistor is adjusted according to the voltage adjustment value to achieve precise adjustment of the output voltage. During the adjustment process, the operating frequency and terminal voltage of the motor are collected in real time and fed back to the power control system of the food processor for comparison with the target adjustment value. If there is a deviation, the frequency conversion parameter adjustment amount is further fine-tuned until the operating frequency and voltage of the motor are consistent with the target value, thus completing the dynamic correction. The dynamic correction refers to the process of continuously adjusting parameters according to the real-time status to approach the target. Finally, the total power of the corrected motor group is monitored in real time through a closed-loop feedback loop until the total power of the motor group is stable within the preset optimal power range.

[0112] It should be noted that, in this application, "stable state" refers to the operating state in which the total power of the motor group fluctuates within the optimal range and meets the requirements.

[0113] In another aspect, in some embodiments, this application provides a power control system for a food processor based on variable frequency technology, referencing... Figure 4The figure is a schematic diagram of the structure of a power control system for a food processor based on frequency conversion technology, according to some embodiments of this application. This power control system includes: a data acquisition module 201, a processing module 202, and an execution module 203, which are described below:

[0114] The acquisition module 201 in this application is mainly used to acquire the operating parameter group of multiple parallel motors of the food processor, and to determine the spatial interference coefficient between the motors through the operating parameter group of each motor.

[0115] The processing module 202 in this application is mainly used to determine the current power margin of each motor based on the real-time active power and real-time reactive power of each motor combined with the preset power limit curve when the spatial interference coefficient exceeds the preset threshold, and to generate an overload risk flag for the food processor when the power margin of at least one motor is detected to be lower than the safety threshold.

[0116] The processing module 202 is also used to identify the load classification of the food processor based on the overload risk indicator and the coupling relationship between the load torque change rate of the mixing shaft in the food processor and the real-time reactive power of each motor, so as to obtain the load classification status of the food processor. The load classification status is divided into a first-level load mode and a second-level load mode.

[0117] In addition, the processing module 202 is also used to perform power distribution on the food processor using a linear power distribution strategy in the first-level load mode, and in the second-level load mode, to trigger the switching command of the food processor's frequency conversion parameters according to the power distribution deviation of each motor and the sliding boundary conditions in the power control of the frequency converter.

[0118] The execution module 203 in this application is mainly used to adjust the motor group of the food processor to operate within a preset optimal power range based on the switching command.

[0119] In addition, this application also provides a computer device, the computer device including a memory and a processor, the memory storing code, the processor being configured to acquire the code and execute the above-described power control method for a chef's machine based on frequency conversion technology.

[0120] In some embodiments, reference Figure 5 The figure is a schematic diagram of the structure of a computer device implementing a power control method for a food processor based on variable frequency technology, according to some embodiments of this application. The power control method for a food processor based on variable frequency technology in the above embodiments can... Figure 5 The computer device shown is used to implement this, and the computer device includes at least one processor 301, a communication bus 302, a memory 303, and at least one communication interface 304.

[0121] The processor 301 can be a general-purpose central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more devices used to control the execution of the power control method for the chef's machine based on frequency conversion technology in this application.

[0122] The communication bus 302 can be used to transmit information between the aforementioned components.

[0123] The memory 303 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disks or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. The memory 303 may exist independently and be connected to the processor 301 via the communication bus 302. The memory 303 may also be integrated with the processor 301.

[0124] The memory 303 stores program code for executing the scheme of this application, and its execution is controlled by the processor 301. The processor 301 executes the program code stored in the memory 303. The program code may include one or more software modules. In the above embodiments, the determination of the power control method of the chef's machine based on frequency conversion technology can be implemented by the processor 301 and one or more software modules in the program code in the memory 303.

[0125] Communication interface 304 uses any transceiver-like device for communicating with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0126] In a specific implementation, as one example, a computer device may include multiple processors, each of which may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. Here, a processor may refer to one or more devices, circuits, and / or processing cores used to process data (e.g., computer program instructions).

[0127] The aforementioned computer device can be a general-purpose computer device or a special-purpose computer device. In specific implementations, the computer device can be a desktop computer, a portable computer, a network server, a handheld digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. This application does not limit the type of computer device.

[0128] In addition, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described power control method for a food processor based on frequency conversion technology.

[0129] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0130] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A power control method for a food processor based on variable frequency technology, characterized in that, Includes the following steps: Collect the operating parameter sets of multiple parallel motors of the food processor, and determine the spatial interference coefficient between the motors through the operating parameter sets of each motor; When the spatial interference coefficient exceeds the preset threshold, the current power margin of each motor is determined based on the real-time active power and real-time reactive power of each motor combined with the preset power limit curve. When the power margin of at least one motor is detected to be lower than the safety threshold, an overload risk flag for the food processor is generated. Based on the overload risk indicator, the load classification of the food processor is identified by the coupling relationship between the load torque change rate of the mixing shaft and the real-time reactive power of each motor, and the load classification status of the food processor is obtained. The load classification status is divided into a first-level load mode and a second-level load mode. In the first-level load mode, a linear power distribution strategy is used to distribute power to the food processor. In the second-level load mode, the switching command of the food processor's frequency conversion parameters is triggered based on the power distribution deviation of each motor and the sliding boundary conditions in the power control of the frequency converter. Based on the switching command, the motor group of the food processor is adjusted to operate within a preset optimal power range.

2. The method as described in claim 1, characterized in that, The specific set of operating parameters collected from multiple parallel motors of the food processor includes: Current sensors, voltage sensors, and speed sensors are deployed at the power input and output shaft ends of each parallel motor in the food processor, and the parameter detection points of each motor are determined. Based on the time synchronization protocol, the sensor data of the parameter detection points of each motor are collected synchronously to obtain the original operating data of each motor. Outlier removal is performed on the raw operating data of each motor to obtain the valid operating data of each motor; Extract the current, voltage, speed, and real-time power parameters of each motor from the corresponding valid operating data to form the operating parameter group for each motor.

3. The method as described in claim 1, characterized in that, The spatial interference coefficient between motors is determined by using the operating parameter sets of each motor, specifically including: The operating parameter set of each motor is normalized to obtain the normalized operating parameter sequence of each motor; Inter-motor interference analysis is performed based on the normalized operating parameter sequence of each motor to obtain the spatial interference coefficient between motors.

4. The method as described in claim 1, characterized in that, When the spatial interference coefficient exceeds a preset threshold, the current power margin of each motor is determined based on the real-time active power and real-time reactive power of each motor combined with a preset power limit curve. Specifically, this includes: When the spatial interference coefficient exceeds a preset threshold, the real-time active power and real-time reactive power of each motor are extracted. Based on the real-time reactive power of each motor, a preset power limit curve is queried, and the limit active power of the corresponding motor is extracted through the power limit curve. Calculate the difference between the limit active power and the real-time active power of each motor to obtain the current power margin of each motor.

5. The method as described in claim 1, characterized in that, When an overload risk flag is generated for the food processor when the power margin of at least one motor is detected to be below a safety threshold, the specific steps include: Set a uniform power margin safety threshold for each motor; The current power margin of each motor is compared with the power margin safety threshold. If the current power margin of at least one motor is less than the power margin safety threshold, the overload risk determination logic is triggered. Based on the triggering result of the overload risk determination logic, an overload risk identifier for the food processor is generated.

6. The method as described in claim 1, characterized in that, The power allocation strategy for the food processor under the first-level load mode specifically includes: Confirm that the food processor is currently in Level 1 load mode, activate the linear power distribution module, and collect the current total power demand of the food processor and the rated power of each motor; The power distribution coefficient of each motor is calculated based on the proportion of the rated power of each motor to the total rated power. Based on the total required power and the power allocation coefficient of each motor, calculate the target allocated power for each motor; Based on the target power allocation for each motor, a frequency converter control signal is generated for each motor to control the output power of each motor.

7. The method as described in claim 1, characterized in that, The operating parameter group includes current value, voltage value, speed and real-time power parameters.

8. A power control system for a food processor based on variable frequency technology, used to execute the power control method for a food processor based on variable frequency technology as described in any one of claims 1 to 7, characterized in that, The system includes: The data acquisition module is used to collect the operating parameter sets of multiple parallel motors of the food processor, and to determine the spatial interference coefficient between the motors through the operating parameter sets of each motor. The processing module is used to determine the current power margin of each motor based on the real-time active power and real-time reactive power of each motor combined with a preset power limit curve when the spatial interference coefficient exceeds a preset threshold, and to generate an overload risk flag for the food processor when it is detected that the power margin of at least one motor is lower than a safety threshold. The processing module is also used to identify the load classification of the food processor based on the overload risk indicator and the coupling relationship between the load torque change rate of the mixing shaft in the food processor and the real-time reactive power of each motor, so as to obtain the load classification status of the food processor. The load classification status is divided into a first-level load mode and a second-level load mode. The processing module is also used to perform power allocation on the food processor using a linear power allocation strategy in the first-level load mode, and in the second-level load mode, to trigger the switching command of the food processor's frequency conversion parameters based on the power allocation deviation of each motor and the sliding boundary conditions in the power control of the frequency converter. The execution module is used to adjust the motor group of the food processor to operate within a preset optimal power range based on the switching command.

9. A computer device, characterized in that, The computer device includes a memory and a processor, the memory storing code, and the processor being configured to retrieve the code and execute the power control method for a chef's machine based on frequency conversion technology as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the power control method for a chef's machine based on frequency conversion technology as described in any one of claims 1 to 7.

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