A method, apparatus, electronic device, and medium for generating magnetic linkage instructions.

Abstract

This application discloses a flux linkage command generation method, apparatus, electronic device, and medium, applicable to the field of motors. The flux linkage command generation method provided in this application includes: obtaining the basic rated parameters of the motor and the start-end point correction coefficients of the curve; generating a corresponding target torque-flux linkage curve based on the basic rated parameters, the start-end point correction parameters, and the reference torque-flux linkage curve corresponding to the reference curve; and determining the corresponding flux linkage command based on the target torque command and the target torque-flux linkage curve. Therefore, this application requires inputting the basic rated parameters of the motor, generating a target torque-flux linkage curve through a reference curve to adapt to different motor models, and finally determining the corresponding flux linkage command through the target torque-flux linkage curve, thereby achieving the purpose of maximum torque-current ratio control of the motor. It is simple, fast, computationally inefficient, and has good versatility.

Description

Technical Field

[0001] This application relates to the field of electric motors, and in particular to a method, apparatus, electronic device, and medium for generating flux linkage instructions. Background Technology

[0002] Maximum Torque Per Ampere Control (MTPA) is a commonly used efficiency optimization control strategy for reluctance motor drive systems. It fully utilizes the reluctance torque generated by the motor's saliency to maximize the output torque per unit current, thereby improving the drive system's efficiency. Although reluctance motors have a high saliency probability, the direct and quadrature axis inductances in reluctance motors exhibit significant nonlinearity depending on operating conditions. Therefore, using formulas to calculate the MTPA curve with fixed inductance parameters is unlikely to yield satisfactory results. Figure 1 As shown, its Figure 1 The horizontal and vertical axes in the figure represent the d-axis current and the q-axis current, respectively.

[0003] Currently, the mainstream solutions for MTPA (Medium-Terminal Actuation) include achieving MTPA control through optimal current angle allocation and current closed-loop control, or obtaining the optimal flux linkage through torque command lookup and implementing flux linkage closed-loop control. However, for optimal current angle allocation, which calculates the motor inductance value under different currents by injecting pulse signals of varying amplitudes and then calculating the optimal current angle based on the fitted inductance at the operating point, this method requires significant computation and a built-in calibration program. As for obtaining the optimal flux linkage through torque command lookup and implementing flux linkage closed-loop control, generating the flux linkage curve is currently difficult and time-consuming, and different motors require different flux linkage curves for calibration.

[0004] In view of the above-mentioned technology, finding a simple and computationally efficient method for generating magnetic flux linkage instructions is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] The purpose of this application is to provide a method, apparatus, electronic device, and medium for generating flux linkage instructions. This addresses the problems in existing technologies, such as high computational load, difficulty and time-consuming generation of flux linkage curves, and the need for different flux linkage curves to be calibrated for different motors.

[0006] To address the aforementioned technical problems, this application provides a method for generating magnet link instructions, comprising:

[0007] Obtain the basic rated parameters of the motor and the start and end point correction coefficients of the curve;

[0008] The target torque-flux curve is generated based on the basic rated parameters, the start and end point correction parameters, and the reference torque-flux curve corresponding to the reference curve.

[0009] The corresponding flux linkage command is determined based on the target torque command and the target torque-flux linkage curve.

[0010] Preferably, the corresponding target torque-flux curve is generated based on the basic rated parameters, the start-end correction parameters, and the reference torque-flux curve corresponding to the reference curve, including:

[0011] Obtain the rated frequency, rated line voltage, and no-load reaction force corresponding to the rated frequency from the basic rated parameters;

[0012] Obtain the magnetic flux curve start-point correction coefficient and magnetic flux curve end-point correction coefficient from the start-point and end-point correction coefficients corresponding to the curve;

[0013] The starting point of the flux linkage curve is determined based on the correction factor for the starting point of the flux linkage curve, the no-load reaction force, and the rated frequency.

[0014] The endpoint of the flux linkage curve is determined based on the correction factor for the endpoint of the flux linkage curve, the rated line voltage, and the rated frequency.

[0015] The corresponding reference torque-magnetic flux curve is determined based on the magnetic flux curve start point correction coefficient, magnetic flux curve end point correction coefficient, magnetic flux curve start point and magnetic flux curve end point;

[0016] The target torque-flux flux curve is generated by fitting the flux flux curve starting point correction factor, flux flux curve ending point correction factor, flux flux curve starting point, flux flux curve ending point, and reference torque-flux flux curve.

[0017] Preferably, the corresponding reference torque-flux flux curve is determined based on the flux flux curve start point correction coefficient, the flux flux curve end point correction coefficient, the flux flux curve start point, and the flux flux curve end point, including:

[0018] The saturation of the flux linkage curve is determined by the correction coefficient at the start point of the flux linkage curve, the correction coefficient at the end point of the flux linkage curve, and the start and end points of the flux linkage curve.

[0019] The reference torque-flux curve corresponding to the curve saturation is determined based on the reference curve table.

[0020] Preferably, the expression for the starting point of the flux linkage curve is:

[0021] ;

[0022] in, This marks the starting point of the flux linkage curve; This is the correction factor for the starting point of the flux linkage curve; Pi; It is an unloaded reactionary force; This is the rated frequency.

[0023] Preferably, the expression for the endpoint of the flux linkage curve is:

[0024] ;

[0025] in, This is the endpoint of the flux linkage curve; This is the correction factor for the endpoint of the flux linkage curve; Pi; This is the rated line voltage; This is the rated frequency.

[0026] Preferably, determining the corresponding flux linkage command based on the target torque command and the target torque-flux linkage curve includes:

[0027] Obtain the rated torque from the basic rated parameters;

[0028] Obtain the target torque command;

[0029] Determine the corresponding per-unit value of the torque command based on the target torque command and the rated torque;

[0030] Substitute the per-unit value of the torque command into the target torque-flux linkage curve to determine the flux linkage command corresponding to the per-unit value of the torque command.

[0031] Preferably, after determining the corresponding flux linkage command based on the target torque command and the target torque-flux linkage curve, the method further includes:

[0032] Closed-loop control of the magnetic flux is performed based on magnetic flux commands to achieve maximum torque-to-current ratio control of the motor.

[0033] On the other hand, this application also provides a magnetic link instruction generation apparatus, comprising:

[0034] The acquisition module is used to acquire the basic rated parameters of the motor and the start and end point correction coefficients of the curve.

[0035] The curve generation module generates the corresponding target torque-flux curve based on the basic rated parameters, the start and end point correction parameters, and the reference torque-flux curve corresponding to the reference curve.

[0036] The determination module is used to determine the corresponding flux linkage command based on the target torque command and the target torque-flux linkage curve.

[0037] On the other hand, this application also provides an electronic device, including a memory for storing computer programs;

[0038] A processor is used to implement the steps of the above-described magnet link instruction generation method when executing a computer program.

[0039] On the other hand, this application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described magnet link instruction generation method.

[0040] Therefore, this application requires inputting the basic rated parameters of the motor and generating a target torque-flux flux curve through a reference curve to adapt to different motor models. Finally, the corresponding flux command is determined through the target torque-flux flux curve, thereby achieving the purpose of controlling the maximum torque-current ratio of the motor. It is simple, fast, has low computational load, and good versatility. Attached Figure Description

[0041] To more clearly illustrate the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0042] Figure 1 A schematic diagram comparing the formula method and the optimal MTPA current distribution curve in the existing technology;

[0043] Figure 2 A flowchart illustrating a magnet link instruction generation method provided in this application embodiment;

[0044] Figure 3 This is a schematic diagram of the torque-flux curves of three motors generated based on a reference curve in an embodiment of this application;

[0045] Figure 4 A complete flowchart of a magnet link instruction generation method provided in this application embodiment;

[0046] Figure 5 A block diagram of a magnetic link instruction generation apparatus provided in another embodiment of this application;

[0047] Figure 6 A structural diagram of an electronic device provided in another embodiment of this application. Detailed Implementation

[0048] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the protection scope of this application.

[0049] The core of this application is to provide a method, apparatus, electronic device, and medium for generating magnet link instructions.

[0050] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0051] Figure 2 A flowchart of a magnet link instruction generation method provided in this application embodiment is shown below. Figure 2 As shown, it includes the following steps:

[0052] S10: Obtain the basic rated parameters of the motor and the correction coefficients for the start and end points of the curve.

[0053] S11: Generate the corresponding target torque-flux curve based on the basic rated parameters, start and end point correction parameters, and the reference torque-flux curve corresponding to the reference curve.

[0054] In a specific embodiment, the prerequisite for generating the corresponding target torque-flux curve based on the basic rated parameters, the start-end correction coefficients, and the reference torque-flux curve is to obtain the basic rated parameters, the corresponding start-end correction coefficients, and the matching reference torque-flux curve.

[0055] The basic rated parameters mainly include: rated frequency, rated line voltage, no-load reaction force corresponding to the rated frequency, and rated torque. However, the steps to determine the flux linkage curve mainly require the rated frequency, rated line voltage, and no-load reaction force corresponding to the rated frequency. The correction coefficients for the start and end points of the curve mainly include: the correction coefficient for the start point of the flux linkage curve and the correction coefficient for the end point of the flux linkage curve.

[0056] The specific implementation method is as follows: obtain the rated frequency, rated line voltage, and no-load reaction force corresponding to the rated frequency from the basic rated parameters; obtain the starting point correction coefficient and ending point correction coefficient of the flux linkage curve; then, based on the expression of the starting point of the flux linkage curve, the starting point correction coefficient of the starting point of the flux linkage curve, the no-load reaction force, and the starting point of the flux linkage curve corresponding to the rated frequency can be determined; at the same time, based on the expression of the ending point of the flux linkage curve, the ending point correction coefficient of the ending point of the flux linkage curve, the ending point of the flux linkage curve corresponding to the rated line voltage, and the rated frequency can be determined.

[0057] As a preferred option, the expression for the starting point of the flux linkage curve is:

[0058] ;

[0059] in, This marks the starting point of the flux linkage curve; This is the correction coefficient for the starting point of the flux linkage curve, used to correct for the effects of temperature and motor back momentum deviations. A value of 0.9 to 1.1 can be selected. Pi; It is an unloaded reactionary force; This is the rated frequency.

[0060] The expression for the endpoint of the flux linkage curve is:

[0061] ;

[0062] in, This is the endpoint of the flux linkage curve; This is a correction for the endpoint of the flux linkage curve, used to correct for the influence of the motor stator voltage drop. A value of 0.9 to 1.1 can be selected. Adjust it appropriately according to the motor's operating current. Pi; This is the rated line voltage; This is the rated frequency.

[0063] In a specific embodiment, in order to better adapt the generated target torque-flux flux curve to the motor, a reference torque-flux flux curve with different saturation can be selected as a reference based on the current saliency probability and rated frequency of the motor. The steps are as follows: determine the curve saturation based on the flux curve start point correction coefficient, flux curve end point correction coefficient, flux curve start point and flux curve end point; determine the reference torque-flux flux curve corresponding to the current curve saturation by querying the reference curve table.

[0064] Finally, based on the determination of relevant parameters (magnetic flux curve start point correction coefficient, magnetic flux curve end point correction coefficient, magnetic flux curve start point and magnetic flux curve end point) and curve reference (reference torque-magnetic flux curve), the target torque-magnetic flux curve is fitted and generated.

[0065] S12: Determine the corresponding flux command based on the target torque command and the target torque-flux curve.

[0066] In a specific embodiment, the current step requires the rated torque from the basic rated parameters. Since the target torque command and the rated torque are known, the per-unit value of the current corresponding torque command is obtained after calculating the target torque command and the rated torque. Substituting the per-unit value of the torque command into the target torque-flux linkage curve (which can also be understood as a table lookup, because the target torque-flux linkage curve represents the correspondence between torque and flux linkage), the corresponding flux linkage command can be obtained.

[0067] Among them, such as Figure 3 As shown, Figure 3 This is a schematic diagram of the target torque-flux curves of three motors generated based on the reference curve in an embodiment of this application. Motor1 corresponds to the first motor; Motor2 corresponds to the first motor; and Motor3 corresponds to the third motor.

[0068] Finally, by performing closed-loop control of the motor based on flux linkage commands, the maximum torque-to-current ratio control of the motor can be achieved.

[0069] This application provides a flux linkage command generation method, comprising: obtaining the basic rated parameters of the motor and the start-end correction coefficients of the curve; generating a corresponding target torque-flux linkage curve based on the basic rated parameters, the start-end correction parameters, and the reference torque-flux linkage curve corresponding to the reference curve; and determining the corresponding flux linkage command according to the target torque command and the target torque-flux linkage curve. Therefore, this application requires inputting the basic rated parameters of the motor, generating a target torque-flux linkage curve through the reference curve to adapt to different motor models, and finally determining the corresponding flux linkage command through the target torque-flux linkage curve, thereby achieving the purpose of maximum torque-current ratio control of the motor. It is simple, fast, computationally inefficient, and has good versatility.

[0070] In summary, as Figure 4 As shown, the overall process of one of its magnetic link instruction generation methods is as follows:

[0071] S20: Begin.

[0072] S21: Obtain the basic rated parameters of the motor and the start and end point correction coefficients corresponding to the curve.

[0073] S22: Determine the starting point and ending point of the flux linkage curve based on the basic rated parameters and the starting and ending point correction coefficients.

[0074] S23: Determine the curve saturation based on the start and end point correction coefficients, the start point of the flux linkage curve, and the end point of the flux linkage curve.

[0075] S24: Determine the reference torque-flux curve corresponding to the curve saturation based on the reference curve table.

[0076] S25: Generate the corresponding target torque-flux curve based on the start and end point correction coefficients, the start point of the flux linkage curve, the end point of the flux linkage curve, and the reference torque-flux linkage curve fitting.

[0077] S26: Determine the corresponding per-unit value of the torque command based on the target torque command and the rated torque.

[0078] S27: Substitute the per-unit value of the torque command into the target torque-flux linkage curve to determine the flux linkage command corresponding to the per-unit value of the torque command.

[0079] S28: End.

[0080] It should be noted that S20-S28 are summaries of the above steps and corresponding embodiments, and therefore will not be repeated here.

[0081] In the above embodiments, the method for generating magnetic link instructions has been described in detail. This application also provides embodiments corresponding to a magnetic link instruction generation apparatus. It should be noted that this application describes the embodiments of the apparatus from two perspectives: one based on functional modules and the other based on hardware.

[0082] Figure 5 A block diagram of a magnet link instruction generation apparatus provided in another embodiment of this application includes:

[0083] The acquisition module 11 is used to acquire the basic rated parameters of the motor and the start and end point correction coefficients of the curve.

[0084] Curve generation module 12 generates the corresponding target torque-flux curve based on the basic rated parameters, start and end point correction parameters, and the reference torque-flux curve corresponding to the reference curve;

[0085] The determination module 13 is used to determine the corresponding flux linkage command based on the target torque command and the target torque-flux linkage curve.

[0086] Since the embodiments of the apparatus and the embodiments of the method correspond to each other, please refer to the description of the embodiments of the method for the embodiments of the apparatus, which will not be repeated here.

[0087] Figure 6 A structural diagram of an electronic device provided in another embodiment of this application, such as... Figure 6 As shown, the electronic device includes: a memory 20 for storing computer programs;

[0088] The processor 21 is used to implement the steps of a magnet link instruction generation method as described in the above embodiments when executing a computer program.

[0089] The electronic devices provided in this embodiment may include, but are not limited to, smartphones, tablets, laptops, or desktop computers.

[0090] The processor 21 may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 21 may be implemented using at least one of the following hardware forms: Digital Signal Processor (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 21 may also include a main processor and a coprocessor. The main processor, also known as the Central Processing Unit (CPU), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 21 may integrate a Graphics Processing Unit (GPU), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor 21 may also include an Artificial Intelligence (AI) processor, which is used to handle computational operations related to machine learning.

[0091] The memory 20 may include one or more computer-readable storage media, which may be non-transitory. The memory 20 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In this embodiment, the memory 20 is used to store at least the following computer program 201, which, after being loaded and executed by the processor 21, is capable of implementing the relevant steps of a magnet link instruction generation method disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202 and data 203, and the storage method may be temporary storage or permanent storage. The operating system 202 may include Windows, Unix, Linux, etc.

[0092] In some embodiments, the electronic device may further include a display screen 22, an input / output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.

[0093] Those skilled in the art will understand that Figure 6 The structures shown do not constitute a limitation on electronic devices and may include more or fewer components than those shown.

[0094] The electronic device provided in this application includes a memory and a processor. When the processor executes a program stored in the memory, it can implement the above-described magnet link instruction generation method and has the same beneficial effects.

[0095] Finally, this application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps described in the above method embodiments.

[0096] It is understood that if the methods in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0097] The foregoing provides a detailed description of a magnet link instruction generation method, apparatus, electronic device, and medium provided in this application. The various embodiments are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make several improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of the claims of this application.

[0098] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for generating magnetic link instructions, characterized in that, include: Obtain the basic rated parameters of the motor and the start and end point correction coefficients of the curve; Obtain the rated frequency, rated line voltage, and no-load reaction potential corresponding to the rated frequency from the basic rated parameters; Obtain the magnetic flux curve start-point correction coefficient and magnetic flux curve end-point correction coefficient from the start-point and end-point correction coefficients corresponding to the curve; The starting point of the flux linkage curve is determined based on the correction coefficient for the starting point of the flux linkage curve, the no-load reaction force, and the rated frequency. The endpoint of the flux linkage curve is determined based on the correction factor for the endpoint of the flux linkage curve, the rated line voltage, and the rated frequency; The corresponding reference torque-magnetic flux curve is determined based on the magnetic flux curve start point correction coefficient, the magnetic flux curve end point correction coefficient, the magnetic flux curve start point, and the magnetic flux curve end point. The target torque-magnetic flux curve is generated by fitting the magnetic flux curve starting point correction coefficient, the magnetic flux curve ending point correction coefficient, the magnetic flux curve starting point, the magnetic flux curve ending point, and the reference torque-magnetic flux curve. The corresponding flux linkage command is determined based on the target torque command and the target torque-flux linkage curve.

2. The method for generating magnetic linkage instructions according to claim 1, characterized in that, The step of determining the corresponding reference torque-flux flux curve based on the flux flux curve start point correction coefficient, the flux flux curve end point correction coefficient, the flux flux curve start point, and the flux flux curve end point includes: The curve saturation is determined based on the magnetic flux linkage curve start point correction coefficient, the magnetic flux linkage curve end point correction coefficient, the magnetic flux linkage curve start point, and the magnetic flux linkage curve end point. The reference torque-flux curve corresponding to the curve saturation is determined based on the reference curve table.

3. The method for generating magnetic linkage instructions according to claim 1, characterized in that, The expression for the starting point of the flux linkage curve is: ； in, This is the starting point of the magnetic flux linkage curve; This is the correction factor for the starting point of the magnetic flux linkage curve; Pi; This refers to the unloaded reaction force; The rated frequency is [the specified frequency].

4. The method for generating magnetic linkage instructions according to claim 1, characterized in that, The expression for the endpoint of the flux linkage curve is: ； in, The endpoint of the magnetic flux linkage curve; This is the correction factor for the endpoint of the flux linkage curve; Pi; The rated line voltage; The rated frequency is [the specified frequency].

5. The method for generating magnetic linkage instructions according to claim 1, characterized in that, The step of determining the corresponding flux linkage command based on the target torque command and the target torque-flux linkage curve includes: Obtain the rated torque from the basic rated parameters; Obtain the target torque command; The corresponding torque command per unit value is determined based on the target torque command and the rated torque. The per-unit value of the torque command is substituted into the target torque-flux linkage curve to determine the flux linkage command corresponding to the per-unit value of the torque command.

6. The method for generating magnetic linkage instructions according to any one of claims 1-5, characterized in that, After determining the corresponding flux linkage command based on the target torque command and the target torque-flux linkage curve, the method further includes: Based on the flux linkage command, closed-loop flux linkage control is performed to achieve maximum torque-to-current ratio control of the motor.

7. A magnetic link instruction generation device, characterized in that, include: The acquisition module is used to acquire the basic rated parameters of the motor and the start and end point correction coefficients of the curve. The curve generation module is used to obtain the rated frequency, rated line voltage, and no-load reaction force corresponding to the rated frequency from the basic rated parameters; to obtain the flux linkage curve start-point correction coefficient and flux linkage curve end-point correction coefficient from the start-point correction coefficients corresponding to the curve; and to determine the start point of the flux linkage curve based on the flux linkage curve start-point correction coefficient, the no-load reaction force, and the rated frequency. The endpoint of the flux linkage curve is determined based on the correction factor for the endpoint of the flux linkage curve, the rated line voltage, and the rated frequency; Based on the flux linkage curve start point correction coefficient, the flux linkage curve end point correction coefficient, the flux linkage curve start point, and the flux linkage curve end point, a corresponding reference torque-flux linkage curve is determined; and a corresponding target torque-flux linkage curve is generated by fitting the flux linkage curve start point correction coefficient, the flux linkage curve end point correction coefficient, the flux linkage curve start point, the flux linkage curve end point, and the reference torque-flux linkage curve. The determination module is used to determine the corresponding flux linkage command based on the target torque command and the target torque-flux linkage curve.

8. An electronic device, characterized in that, Includes memory used to store computer programs; A processor, configured to implement the steps of the magnet link instruction generation method as described in any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the magnet link instruction generation method as described in any one of claims 1 to 6.

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