Synchronous reluctance motor drive monitoring and energy-saving control system and method

Abstract

The present invention relates to the technical field of synchronous reluctance motor drive detection, and discloses a synchronous reluctance motor driver monitoring and energy-saving control system and method, including a data module for collecting synchronous reluctance motor torque and driver current and processing the collected rotation speed and three-phase AC current, a processing module for processing, denoising and cleaning the data, a data monitoring module for monitoring the synchronous reluctance motor torque and current monitoring model, for optimizing the torque monitoring model and current, and optimizing the model, a motor control module for controlling the synchronous reluctance motor driver output current and induced flux, a communication module for data transmission, data reception and decoding, a safety protection module for protecting hardware circuits and providing alarms, and an interface module for displaying parameters, thereby realizing adaptive adjustment of control strategies, optimizing the operating performance of the motor driver, and improving work efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of synchronous reluctance motor drive detection, and discloses a synchronous reluctance motor driver monitoring and energy-saving control system and method. Background Art

[0002] Although synchronous reluctance motor drive monitoring technology is constantly improving, it still needs further improvement and optimization in terms of accuracy, real-time performance, multi-parameter monitoring capabilities, durability and cost. Especially under high-speed and high-load conditions, the response and accuracy of the monitoring system may not be sufficient to meet the real-time requirements, and the synchronous reluctance motor drive monitoring system may be limited in terms of real-time performance and response speed. For applications such as synchronous reluctance motors that require high real-time performance, the delay of the monitoring system may affect the accurate grasp of the motor's operating status. Most monitoring systems may only be able to monitor a single or limited number of parameters, such as current, speed or temperature. However, the complexity of the synchronous reluctance motor means that multiple parameters need to be monitored simultaneously to fully evaluate its operating status, which makes monitoring more difficult. At this time, a new synchronous reluctance motor drive monitoring system is urgently needed.

[0003] For example, the existing Chinese patent with the authorization announcement number CN115411991B discloses a nonlinear self-learning method for the inverter of a synchronous reluctance motor driver, which relates to the field of motor control technology. The invention is to solve the problem of poor compensation effect of the traditional inverter nonlinear compensation method. The nonlinear self-learning method for the inverter of the synchronous reluctance motor driver described in the invention injects a step current into the d-axis or q-axis of the synchronous reluctance motor under the offline working condition of the synchronous reluctance motor, obtains the dq-axis current given value in the rotating coordinate system of the synchronous reluctance motor, and records the dq-axis current given value corresponding to different current given values; transforms the dq-axis current given value in the rotating coordinate system into the three-phase current given value in the stationary coordinate system; and uses the particle swarm optimization algorithm to calculate the saturation voltage drop, shape factor and resistance of the synchronous reluctance motor according to the three-phase current given value and the dq-axis current given value, so as to complete the nonlinear self-learning of the inverter of the synchronous reluctance motor driver.

[0004] The algorithm mentioned in the above patent involves the conversion between the rotating coordinate system and the stationary coordinate system, as well as the particle swarm optimization algorithm. These complex calculations and algorithms increase the difficulty and cost of implementing the system. At the same time, if the synchronous reluctance motor is offline, the method mentioned in the above patent cannot adjust and optimize the motor in real time, limiting its scope of application in actual work. Summary of the invention

[0005] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0006] In order to solve the above technical problems, the main purpose of the present invention is to provide a synchronous reluctance motor drive monitoring and energy-saving control system, comprising:

[0007] The data module includes a data acquisition unit and a data processing unit, wherein the data acquisition unit is used to collect and receive the operation data of the synchronous reluctance motor driver, and the data processing unit is used to pre-process the collected operation data;

[0008] A data monitoring module, including a torque monitoring model, a current monitoring model and an optimization unit, wherein the torque monitoring model is used to monitor the torque of the synchronous reluctance motor, the current monitoring model is used to monitor the drive current, and the optimization unit is used to optimize the torque monitoring model and the current monitoring model;

[0009] The motor control module includes a current control unit and a torque control unit. The current control unit is used to control the output current of the synchronous reluctance motor driver, and the torque control unit is used to control the motor torque by controlling the induced flux of the reluctance motor.

[0010] As a preferred solution of the synchronous reluctance motor drive monitoring and energy-saving control system of the present invention, wherein:

[0011] The torque of the synchronous reluctance motor is monitored and predicted in real time by establishing the torque monitoring model, and the torque monitoring model is optimized by calculating the loss value between the predicted torque value and the real-time monitoring value;

[0012] The torque monitoring model processes the torque value by setting the weight of the hidden layer. The torque value is input into the hidden layer. The hidden layer uses the torque value weight and the torque value for calculation. Meanwhile, the torque monitoring model monitors the output torque of the synchronous reluctance motor driver.

[0013] As a preferred solution of the synchronous reluctance motor drive monitoring and energy-saving control system of the present invention, wherein:

[0014] The torque monitoring model calculation expression is as follows:

[0015]

[0016] in, Output torque value in real time for torque monitoring model, The weights for the hidden layer to process the torque values, is the real-time torque value of the input model, is the deviation value of the torque monitoring model, s is the ordinal number taking the values ​​of 1, 2, 3, ..., n, and n is the total number of groups of torque values.

[0017] As a preferred solution of the synchronous reluctance motor drive monitoring and energy-saving control system of the present invention, wherein:

[0018] By calculating whether the output torque loss values ​​at time t+1 and time t are equal, the torque monitoring model at time t+1 is optimized. If the output torque loss values ​​at time t+1 and time t are equal, there is no need to optimize the torque monitoring model. If the output torque loss values ​​at time t+1 and time t are not equal, the optimization coefficient of the torque monitoring model is adjusted by calculating the ratio of the output torque loss values ​​at time t+1 and time t.

[0019] The torque monitoring model optimization coefficient calculation expression is as follows:

[0020]

[0021] in, is the optimization coefficient of the torque monitoring model at time t+1, is the output torque loss value at time t+1, is the output torque loss value at the tth moment, is the optimization coefficient of the torque monitoring model at the tth moment, Optimize the constant value for the torque monitoring model, t is the time sequence and takes 1, 2, 3, ..., n, and n takes any positive integer;

[0022] By calculating the loss value between the real-time monitoring torque value of the synchronous reluctance motor torque monitoring model and the predicted torque value of the synchronous reluctance motor torque monitoring model, the synchronous reluctance motor torque monitoring model can predict the torque value;

[0023] The calculation expression of the loss value is as follows:

[0024] σ = ∑ s = 1 n [ f s ( x ) − f s * ( x )] 2 n

[0025] in, is the loss value, Real-time monitoring of torque value for synchronous reluctance motor torque monitoring model, The torque value is predicted by the torque monitoring model of the synchronous reluctance motor, s is a sequence number of 1, 2, 3, ..., n; the torque monitoring model is corrected by optimizing the coefficient of the torque monitoring model, and the correction expression is as follows:

[0026] ∇ ω s = ω s − [ L ( t + 1 ) − L ( t )] × f s * ( x ) τ

[0027] in, is the weight of the torque monitoring model after torque optimization, The weights for the hidden layer to process the torque values, is the learning rate of the torque monitoring model.

[0028] As a preferred solution of the synchronous reluctance motor drive monitoring and energy-saving control system of the present invention, wherein:

[0029] The current monitoring model calculation expression is as follows:

[0030]

[0031] in, Output current data in real time for the current monitoring model, The weights for the hidden layer to process the current data, To input the real-time current data of the model, is the deviation value of the current monitoring model;

[0032] The synchronous reluctance motor current monitoring model is optimized, and the calculation expression of the optimization unit to optimize the current detection model is as follows:

[0033]

[0034] in, is the weight optimization coefficient of the current monitoring model, The weights for the hidden layer to process the current data, is the learning rate, Real-time monitoring of current value for current monitoring model, Real-time prediction of current value for current monitoring model, is the predicted exponential decay rate of the current, is the stability constant of the current monitoring model.

[0035] As a preferred solution of the synchronous reluctance motor drive monitoring and energy-saving control system of the present invention, wherein:

[0036] The torque control unit receives the torque value output by the torque monitoring model, predicts the torque value of the reluctance motor at time t+1, and controls the torque of the reluctance motor through a driver, and controls the torque of the reluctance motor by controlling the current. The control current is calculated by multiplying the difference between the direct-axis inductance and the orthogonal-axis inductance by the square of the magnetic flux, and controls the current output by the driver to control the torque of the reluctance motor through the torque angle of the reluctance motor.

[0037] As a preferred solution of the synchronous reluctance motor drive monitoring and energy-saving control system of the present invention, wherein:

[0038] The calculation expression of the torque control unit that receives the torque value and converts it into the torque control current signal is as follows:

[0039] T e = P 2 [ ψ 2 ( L ds − L qs ) L ds × sin ϕ + ψ 2 ( L ds − L qs ) 2 ( L ds × L qs ) sin 2 ϕ ]

[0040] in, is the torque value of the reluctance motor controlled by the driver, P is the number of poles, is the induced flux, is the direct-axis inductance of the reluctance motor, is the orthogonal axis inductance of the reluctance motor, is the torque angle of the reluctance motor;

[0041] The torque data includes the induced flux, direct-axis inductance and orthogonal-axis inductance of the reluctance motor. The driver calculates the torque value through the torque data and then adjusts the current output of the reluctance motor through the output.

[0042] As a preferred solution of the synchronous reluctance motor drive monitoring and energy-saving control system of the present invention, wherein:

[0043] The reluctance motor torque value and the driver current data are collected by a data collection unit;

[0044] The system also includes a processing module, the processing module including a conditioning unit;

[0045] The raw data collected by the motor sensor is calibrated, corrected and converted through the conditioning unit.

[0046] As a preferred solution of the synchronous reluctance motor drive monitoring and energy-saving control method of the present invention, wherein:

[0047] S1, collecting synchronous reluctance motor torque and driver current, and performing data processing on the collected motor torque and driver current;

[0048] S2. Using the processed data as the data basis, a torque monitoring model and a current monitoring model are established to monitor and predict the synchronous reluctance motor torque and driver current;

[0049] S3, fitting the prediction results and actual data through the optimization unit, and optimizing and pruning the torque monitoring model and the current monitoring model;

[0050] S4, outputting the synchronous reluctance motor torque value and driver current data through the torque monitoring model and the current monitoring model, and outputting the current control command of the current output driver by the current control, and the torque control unit outputting the synchronous reluctance motor torque control command;

[0051] S5, the control unit receives the current control instruction and the synchronous reluctance motor torque control instruction to control the synchronous reluctance motor and the synchronous reluctance motor driver;

[0052] S6. Transmit synchronous reluctance motor and drive parameter information through data communication and display it on a visualization screen.

[0053] As a preferred solution of the synchronous reluctance motor drive monitoring and energy-saving control method of the present invention, wherein:

[0054] Monitoring the torque value of the synchronous reluctance motor by means of the torque monitoring model;

[0055] The synchronous reluctance motor current data is monitored by the current monitoring model, and the motor torque current is controlled by predicting the synchronous reluctance motor driver output, thereby controlling the synchronous reluctance motor torque;

[0056] The current monitoring model of the synchronous reluctance motor is optimized by the current monitoring model optimization unit. The calculation expression of the current detection model optimized by the optimization unit is as follows:

[0057]

[0058] in, is the weight optimization coefficient of the current monitoring model, The weights for the hidden layer to process the current data, is the learning rate, Real-time monitoring of current value for current monitoring model, Real-time prediction of current value for current monitoring model, is the predicted exponential decay rate of the current, is the stability constant of the current monitoring model.

[0059] The synchronous reluctance motor torque is controlled by monitoring the synchronous reluctance motor driver output to control the motor torque current, and the synchronous reluctance motor torque value is monitored by a torque monitoring model.

[0060] Beneficial effects of the present invention:

[0061] The motion parameters of the synchronous reluctance motor are monitored and controlled by establishing a torque monitoring model and a current monitoring model, and the torque monitoring model and the current monitoring model are optimized through an optimization unit. This greatly reduces the calculation complexity and the probability of algorithm errors, reduces the difficulty and cost of system implementation, and can control and optimize the synchronous reluctance motor when it is working online. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0063] Figure 1 This is a system composition diagram of the synchronous reluctance motor drive monitoring and energy-saving control system of the present invention;

[0064] Figure 2 This is a flow chart of the synchronous reluctance motor driver monitoring and energy-saving control method of the present invention;

[0065] Figure 3 This is a driver current monitoring diagram of the synchronous reluctance motor driver monitoring and energy-saving control system of the present invention;

[0066] Figure 4 This is a simulation diagram of driver current output error optimization of the synchronous reluctance motor driver monitoring and energy-saving control system of the present invention;

[0067] Figure 5 This is a synchronous reluctance motor torque monitoring waveform diagram of the synchronous reluctance motor driver monitoring and energy-saving control system of the present invention;

[0068] Figure 6 This is a simulation diagram of the synchronous reluctance motor torque output error optimization of the synchronous reluctance motor driver monitoring and energy-saving control system of the present invention. DETAILED DESCRIPTION

[0069] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0070] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0071] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0072] Embodiment 1

[0073] like Figure 1As shown, the synchronous reluctance motor drive monitoring and energy-saving control system includes:

[0074] A data module, including a data acquisition unit for acquiring the torque of the synchronous reluctance motor and the current of the driver, and a data processing unit for processing the acquired rotation speed and three-phase AC current;

[0075] The data acquisition unit collects data including torque data of the reluctance motor and current data of the driver;

[0076] The torque data of the synchronous reluctance motor is collected by a non-contact torque sensor, and the torque is indirectly measured by measuring the changes in magnetic flux and inductance. For example, a magnetic sensor is used to measure the changes in the magnetic field in the motor, thereby deriving the torque of the motor.

[0077] Torque data includes reluctance motor induced flux, direct axis inductance and orthogonal axis inductance;

[0078] The current data of the synchronous reluctance motor driver is collected by the signal collector, and the current data is converted into a digital signal for processing and storage.

[0079] A processing module, including a conditioning unit for processing data, a preprocessing unit for denoising and cleaning the data, and a data input unit for inputting the preprocessed data into a hidden layer;

[0080] The conditioning unit is used to calibrate, correct and convert the raw data collected by the motor sensor to ensure that subsequent data processing can be carried out effectively;

[0081] The preprocessing unit includes filtering, outlier removal and data smoothing to ensure that subsequent data analysis and control can be performed based on reliable input data.

[0082] The data input unit is used to input the pre-processed data into the hidden layer of the neural network model for further processing and learning. The data input unit usually formats the cleaned and denoised data into a data structure suitable for neural network input, such as vector or matrix form, and ensures that the feature extraction and representation of the data are beneficial to the subsequent neural network learning.

[0083] A data monitoring module, including a torque monitoring model for monitoring the torque of the synchronous reluctance motor, a current monitoring model for monitoring the driver current, and an optimization unit for optimizing the torque monitoring model and the current monitoring model;

[0084] The torque of the synchronous reluctance motor is monitored and predicted in real time by establishing a torque monitoring model, and the torque monitoring model is optimized by calculating the loss value between the predicted torque value and the real-time monitoring value, and the optimization coefficient is determined by the loss value;

[0085] The real-time output current of the motor driver is monitored and predicted by establishing a motor driver current monitoring model. Since the current output is directly controlled, there is no need to calculate the loss value, which simplifies the calculation. The real-time monitoring current and predicted current of the driver are calculated directly through the current monitoring model weight optimization.

[0086] like Figure 5 As shown, the calculation expression of the torque monitoring model is as follows:

[0087]

[0088] in, Output torque value in real time for torque monitoring model, The weights for the hidden layer to process the torque values, is the real-time torque value of the input model, is the deviation value of the torque monitoring model, s is the ordinal number, which takes the value of 1, 2, 3, ..., n, and n is the total number of torque value groups;

[0089] like Figure 3 As shown, the current monitoring model calculation expression is as follows:

[0090]

[0091] in, Output current data in real time for the current monitoring model, The weights for the hidden layer to process the current data, To input the real-time current data of the model, is the deviation value of the current monitoring model;

[0092] By calculating whether the output torque loss values ​​at time t+1 and time t are equal, the torque monitoring model at time t+1 is optimized. If the output torque loss values ​​at time t+1 and time t are equal, there is no need to optimize the torque monitoring model. If the output torque loss values ​​at time t+1 and time t are not equal, the optimization coefficient of the torque monitoring model is adjusted by calculating the ratio of the output torque loss values ​​at time t+1 and time t.

[0093] like Figure 6 As shown, the torque monitoring model of the synchronous reluctance motor is optimized, and the calculation expression of the optimization coefficient of the torque monitoring model is as follows:

[0094]

[0095] in, is the optimization coefficient of the torque monitoring model at time t+1, is the output torque loss value at time t+1, is the output torque loss value at the tth moment, is the optimization coefficient of the torque monitoring model at the tth moment, t is the time sequence of 1, 2, 3, ..., n, and n is any positive integer;

[0096] The torque monitoring model is corrected by optimizing the torque monitoring model coefficient. The correction expression is as follows:

[0097] ∇ ω s = ω s − [ L ( t + 1 ) − L ( t )] × f s * ( x ) τ

[0098] in, is the weight of the torque monitoring model after torque optimization, The weights for the hidden layer to process the torque values, is the learning rate of the torque monitoring model;

[0099] Wherein, by calculating the loss value between the real-time monitoring torque value of the synchronous reluctance motor torque monitoring model and the predicted torque value of the synchronous reluctance motor torque monitoring model, the synchronous reluctance motor torque monitoring model predicts the torque value;

[0100] The calculation expression of the loss value is as follows:

[0101] σ = ∑ s = 1 n [ f s ( x ) − f s * ( x )] 2 n

[0102] in, is the loss value, Real-time monitoring of torque value for synchronous reluctance motor torque monitoring model, The torque value predicted by the synchronous reluctance motor torque monitoring model, s is an ordinal number taking the values ​​of 1, 2, 3, ..., n;

[0103] like Figure 4 As shown, the current monitoring model of the synchronous reluctance motor is optimized, and the calculation expression of the optimization unit to optimize the current detection model is as follows:

[0104]

[0105] in, is the weight optimization coefficient of the current monitoring model, The weights for the hidden layer to process the current data, is the learning rate, Real-time monitoring of current value for current monitoring model, Real-time prediction of current value for current monitoring model, is the predicted exponential decay rate of the current, is the stability constant of the current monitoring model;

[0106] The motor control module includes a current control unit for controlling the output current of the synchronous reluctance motor driver and a torque control unit for controlling the motor torque by controlling the induced flux linkage of the reluctance motor;

[0107] Wherein, the current control unit includes a power supply circuit, a control signal input port, and a control circuit;

[0108] The power supply circuit includes the power supply part of the motor power supply and the control circuit, providing stable and appropriate power supply;

[0109] The control signal input port is used to receive instructions from an external controller;

[0110] The control circuit includes circuits such as a power amplifier, a driver and an inverter. The control circuit is used to generate an appropriate current signal to drive the motor according to the input signal;

[0111] The current control unit ensures that the design meets the dynamic response and efficiency requirements of the motor, avoiding oscillations and over-response, while considering stability and reliability when environmental conditions are unstable or loads vary.

[0112] Furthermore, the torque control unit receives the torque value output by the torque monitoring model, predicts the torque value of the reluctance motor at time t+1, and then controls the torque of the reluctance motor through the driver. The torque control unit receives the torque value and converts it into a torque control signal calculation expression as shown below:

[0113] T e = P 2 [ ψ 2 ( L ds − L qs ) L ds × sin ϕ + ψ 2 ( L ds − L qs ) 2 ( L ds × L qs ) sin 2 ϕ ]

[0114] in, is the torque value of the reluctance motor controlled by the driver, P is the number of poles, is the induced flux, is the direct-axis inductance of the reluctance motor, is the orthogonal axis inductance of the reluctance motor, is the torque angle of the reluctance motor;

[0115] The torque data includes the induced flux, direct-axis inductance and orthogonal-axis inductance of the reluctance motor. The driver calculates the torque value through the torque data and then adjusts the current output of the reluctance motor through the output;

[0116] A communication module, including a communication unit for data transmission, a receiving unit for receiving data and decoding;

[0117] The communication unit includes Ethernet module, Wi-Fi module, Cellular module (LTE / 4G / 5G) and RS-485 module;

[0118] The Ethernet module is used to achieve stable and high-speed data transmission through the Ethernet interface. It is suitable for applications that require remote monitoring and control on a local area network or the Internet, providing reliable data connections and high bandwidth;

[0119] The Wi-Fi module is used to achieve wireless data transmission through Wi-Fi network connection. It is suitable for applications that require wireless connection within the indoor range, providing convenient deployment and usage experience, but is limited by coverage and stability;

[0120] Cellular module (LTE / 4G / 5G) is used for mobile network connection to achieve remote monitoring and control within the wide area network. It is suitable for places where fixed network connection cannot be relied on, such as mobile devices or applications in remote areas, providing good coverage and stable connection;

[0121] The RS-485 module is used to achieve long-distance data transmission through the RS-485 communication protocol. It is suitable for applications in industrial environments that require stable data transmission over long distances and has strong anti-interference ability and stability.

[0122] The selection of communication module should be determined according to the actual application scenario;

[0123] The receiving unit is used to receive instructions and data from the remote monitoring end and decode them for use by the motor control system. The receiving unit works in conjunction with the communication unit to ensure accurate transmission and analysis of data;

[0124] The receiving unit includes a data decoder, a control interface, and data buffering and processing;

[0125] The data decoder is used to parse the data packets received from the communication unit, convert them into a format that the motor control system can understand, and parse them according to the communication protocol and data format to ensure the integrity and accuracy of the data;

[0126] The control interface is used to pass the decoded instructions to the motor control system to perform corresponding operations. The instructions include logic levels and digital signal interfaces to ensure compatibility and stability with the motor control system.

[0127] Data buffering and processing are used to buffer and process data during data transmission to cope with possible delays or packet loss in communication. Data buffering helps improve the stability and reliability of the system and ensure smooth and timely data transmission.

[0128] The safety protection module includes a circuit protection unit for protecting the system hardware and a response unit for improving the system response speed and alarm function.

[0129] The circuit protection unit includes over-current, over-voltage and over-temperature protection circuits to ensure the safe operation of the motor and control unit;

[0130] If the motor is operating in an overload state, the circuit protection unit triggers protection measures such as deceleration or shutdown by monitoring the current exceeding the set threshold to avoid damage to the motor;

[0131] The temperature of the motor and the surrounding environment. If the temperature exceeds the safety limit, the over-temperature protection circuit will automatically stop or slow down the machine to avoid thermal damage or fire hazards;

[0132] The response unit ensures the drive response speed and responsive reluctance motor control;

[0133] Response speed is used to ensure that control instructions are responded to quickly;

[0134] The alarm function is used to send out alarms or alarm signals to notify operators or system monitoring centers for further processing and maintenance;

[0135] Furthermore, the safety protection module also includes an energy-saving unit, which includes current control optimization, motor speed control, load optimization and energy recovery;

[0136] Current control optimization adjusts the current supply by monitoring the motor's current usage in real time;

[0137] By monitoring the current usage of the motor in real time, the energy saving unit can adjust the current supply to the motor to reduce unnecessary energy consumption. This is achieved through precise current control algorithms and feedback loops.

[0138] Motor speed control is used to adjust the output power of the motor according to the actual load and operating speed requirements of the motor. For example, the motor's operating speed or power can be reduced when the load is light to save energy.

[0139] Load optimization is used to identify the load and optimize the motor operating speed and power;

[0140] Energy recovery can recover and reuse the motor braking energy. By storing or re-injecting the energy generated by motor braking into the grid, system energy loss can be reduced.

[0141] A user interface module, including a display unit for displaying parameters of the reluctance motor drive, a remote control unit for user remote control and software upgrade;

[0142] The user interface module of the visualization screen should be concise and clear, so that users can quickly understand and operate it. Use clear icons, buttons and controls to make the functions and operations clear at a glance. The user interface module should have a good response speed, and the operation buttons and controls should respond quickly when clicked or touched to avoid poor user experience.

[0143] The display unit includes key parameter display, graphical display and alarm and status indication;

[0144] The key parameter display interface displays key motor operating parameters, such as current, voltage, speed, temperature, etc., so that users can monitor the working status of the motor in real time;

[0145] Graphical display uses charts, graphs or progress bars to intuitively display the changing trends of data, helping users to quickly identify and analyze;

[0146] Alarm and status indication timely displays the alarm status or abnormal warning of the motor, ensuring that users can respond and handle problems quickly;

[0147] The remote control unit includes a user feedback mechanism and a software update port.

[0148] Embodiment 2

[0149] like Figure 2 As shown, the synchronous reluctance motor drive monitoring and energy-saving control method includes:

[0150] S1, collecting synchronous reluctance motor torque and driver current, and performing data processing on the collected motor torque and driver current;

[0151] S2. Using the processed data as the data basis, a torque monitoring model and a current monitoring model are established to monitor and predict the synchronous reluctance motor torque and driver current;

[0152] S3, fitting the prediction results and actual data through the optimization unit, and optimizing and pruning the torque monitoring model and the current monitoring model;

[0153] S4, outputting the synchronous reluctance motor torque value and driver current data through the torque monitoring model and the current monitoring model, and outputting the current control command of the current output driver by the current control, and the torque control unit outputting the synchronous reluctance motor torque control command;

[0154] S5, the control unit receives the current control instruction and the synchronous reluctance motor torque control instruction to control the synchronous reluctance motor and the synchronous reluctance motor driver;

[0155] S6. Transmit synchronous reluctance motor and drive parameter information through data communication and display it on a visualization screen.

[0156] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only two embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible, for example, the size, scale, structure, shape and ratio of various elements, and parameter values ​​(e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc., without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. Any "device plus function" clause is intended to cover the structure of the execution function described in this article, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiment. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.

[0157] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment may not be described (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those features that are not relevant to implementing the invention).

[0158] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, the development effort will be a routine task of design, fabrication, and production without undue experimentation.

[0159] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A synchronous reluctance motor drive monitoring and energy-saving control system, characterized in that: include: The data module includes a data acquisition unit and a data processing unit, wherein the data acquisition unit is used to collect and receive the operation data of the synchronous reluctance motor driver, and the data processing unit is used to pre-process the collected operation data; A data monitoring module, including a torque monitoring model, a current monitoring model and an optimization unit, wherein the torque monitoring model is used to monitor the torque of the synchronous reluctance motor, the current monitoring model is used to monitor the drive current, and the optimization unit is used to optimize the torque monitoring model and the current monitoring model; The torque of the synchronous reluctance motor is monitored and predicted in real time by establishing the torque monitoring model, and the torque monitoring model is optimized by calculating the loss value between the predicted torque value and the real-time monitoring value; The torque monitoring model processes the torque value by setting the weight of the hidden layer, the torque value is input into the hidden layer, and the hidden layer uses the torque value weight and the torque value for calculation. At the same time, the torque monitoring model monitors the output torque of the synchronous reluctance motor driver; The torque monitoring model calculation expression is as follows: ； in, Output torque value in real time for torque monitoring model, The weights for the hidden layer to process the torque values, is the real-time torque value of the input model, is the deviation value of the torque monitoring model, s is the ordinal number, which takes the value of 1, 2, 3, ..., n, and n is the total number of torque value groups; By calculating whether the output torque loss values ​​at time t+1 and time t are equal, the torque monitoring model at time t+1 is optimized. If the output torque loss values ​​at time t+1 and time t are equal, there is no need to optimize the torque monitoring model. If the output torque loss values ​​at time t+1 and time t are not equal, the optimization coefficient of the torque monitoring model is adjusted by calculating the ratio of the output torque loss values ​​at time t+1 and time t. The torque monitoring model optimization coefficient calculation expression is as follows: ； in, is the optimization coefficient of the torque monitoring model at time t+1, is the output torque loss value at time t+1, is the output torque loss value at the tth moment, is the optimization coefficient of the torque monitoring model at the tth moment, Optimize the constant value for the torque monitoring model, t is the time sequence and takes 1, 2, 3, ..., n, and n takes any positive integer; By calculating the loss value between the real-time monitoring torque value of the synchronous reluctance motor torque monitoring model and the predicted torque value of the synchronous reluctance motor torque monitoring model, the synchronous reluctance motor torque monitoring model can predict the torque value; The calculation expression of the loss value is as follows: ； in, is the loss value, Real-time monitoring of torque value for synchronous reluctance motor torque monitoring model, The torque value predicted by the synchronous reluctance motor torque monitoring model, s is an ordinal number taking the values ​​of 1, 2, 3, ..., n; The torque monitoring model is corrected by optimizing the torque monitoring model coefficient. The correction expression is as follows: ； in, is the weight of the torque monitoring model after torque optimization, The weights for the hidden layer to process the torque values, is the learning rate of the torque monitoring model; The current monitoring model calculation expression is as follows: ； in, Output current data in real time for the current monitoring model, The weights for the hidden layer to process the current data, To input the real-time current data of the model, is the deviation value of the current monitoring model; The synchronous reluctance motor current monitoring model is optimized, and the calculation expression of the optimization unit optimizing the current detection model is as follows: ； in, is the weight optimization coefficient of the current monitoring model, The weights for the hidden layer to process the current data, is the learning rate, The current monitoring model monitors the current value in real time. Real-time prediction of current value for current monitoring model, is the predicted exponential decay rate of the current, is the stability constant of the current monitoring model; The motor control module includes a current control unit and a torque control unit. The current control unit is used to control the output current of the synchronous reluctance motor driver, and the torque control unit is used to control the motor torque by controlling the induced flux of the reluctance motor.

2. The synchronous reluctance motor drive monitoring and energy-saving control system according to claim 1, characterized in that: The torque control unit receives the torque value output by the torque monitoring model, predicts the torque value of the reluctance motor at time t+1, and controls the torque of the reluctance motor through a driver, and controls the torque of the reluctance motor by controlling the current. The control current is calculated by multiplying the difference between the direct-axis inductance and the orthogonal-axis inductance by the square of the magnetic flux, and controls the current output by the driver to control the torque of the reluctance motor through the torque angle of the reluctance motor.

3. The synchronous reluctance motor drive monitoring and energy-saving control system according to claim 2, characterized in that: The calculation expression of the torque control unit that receives the torque value and converts it into the torque control current signal is as follows: ； in, is the torque value of the reluctance motor controlled by the driver, P is the number of poles, is the induced flux, is the direct-axis inductance of the reluctance motor, is the orthogonal axis inductance of the reluctance motor, is the torque angle of the reluctance motor; The torque data includes the induced flux, direct-axis inductance and orthogonal-axis inductance of the reluctance motor. The driver calculates the torque value through the torque data and then adjusts the current output of the reluctance motor through the output.

4. The synchronous reluctance motor drive monitoring and energy-saving control system according to claim 3, characterized in that: The reluctance motor torque value and the driver current data are collected by a data collection unit; The system also includes a processing module, the processing module including a conditioning unit; The raw data collected by the motor sensor is calibrated, corrected and converted through the conditioning unit.

5. A synchronous reluctance motor drive monitoring and energy-saving control method, which is implemented based on the synchronous reluctance motor drive monitoring and energy-saving control system according to any one of claims 1 to 4, characterized in that: include: S1, collecting synchronous reluctance motor torque and driver current, and performing data processing on the collected motor torque and driver current; S2. Using the processed data as the data basis, a torque monitoring model and a current monitoring model are established to monitor and predict the synchronous reluctance motor torque and driver current; S3, fitting the prediction results and actual data through the optimization unit, and optimizing and pruning the torque monitoring model and the current monitoring model; S4, outputting the synchronous reluctance motor torque value and driver current data through the torque monitoring model and the current monitoring model, and outputting the current control command of the current output driver by the current control, and the torque control unit outputting the synchronous reluctance motor torque control command; S5, the control unit receives the current control instruction and the synchronous reluctance motor torque control instruction to control the synchronous reluctance motor and the synchronous reluctance motor driver; S6. Transmit synchronous reluctance motor and drive parameter information through data communication and display it on a visualization screen.

6. The synchronous reluctance motor driver monitoring and energy-saving control method according to claim 5, characterized in that: Monitoring the torque value of the synchronous reluctance motor by means of the torque monitoring model; The synchronous reluctance motor current data is monitored by the current monitoring model, and the motor torque current is controlled by predicting the synchronous reluctance motor driver output, thereby controlling the synchronous reluctance motor torque; The current monitoring model of the synchronous reluctance motor is optimized by the current monitoring model optimization unit. The calculation expression of the current detection model optimized by the optimization unit is as follows: ； in, is the weight optimization coefficient of the current monitoring model, The weights for the hidden layer to process the current data, is the learning rate, The current monitoring model monitors the current value in real time. Real-time prediction of current value for current monitoring model, is the predicted exponential decay rate of the current, is the stability constant of the current monitoring model; The synchronous reluctance motor torque is controlled by monitoring the synchronous reluctance motor driver output to control the motor torque current, and the synchronous reluctance motor torque value is monitored by a torque monitoring model.

7. A computer device, characterized in that: include: A memory for storing instructions; A processor is used to execute the instruction so that the device implements the synchronous reluctance motor drive monitoring and energy-saving control method as described in any one of claims 5-6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed, the synchronous reluctance motor drive monitoring and energy-saving control method as described in any one of claims 5-6 is implemented.

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