CN112928963A - Permanent magnet synchronous generator parameter identification method based on polynomial evolution model - Google Patents
Permanent magnet synchronous generator parameter identification method based on polynomial evolution model Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
- H02P21/143—Inertia or moment of inertia estimation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
- H02P21/18—Estimation of position or speed
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P21/00—Arrangements or methods for the control of electric machines by vector control, e.g. by control of field orientation
- H02P21/14—Estimation or adaptation of machine parameters, e.g. flux, current or voltage
- H02P21/20—Estimation of torque
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P9/00—Arrangements for controlling electric generators for the purpose of obtaining a desired output
- H02P9/008—Arrangements for controlling electric generators for the purpose of obtaining a desired output wherein the generator is controlled by the requirements of the prime mover
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P2101/00—Special adaptation of control arrangements for generators
- H02P2101/15—Special adaptation of control arrangements for generators for wind-driven turbines
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02P—CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS
- H02P2103/00—Controlling arrangements characterised by the type of generator
- H02P2103/20—Controlling arrangements characterised by the type of generator of the synchronous type
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Abstract
The invention discloses a permanent magnet synchronous generator parameter identification method based on a polynomial evolution model, which comprises the steps of obtaining an electrical part equation and a mechanical part equation of a permanent magnet synchronous generator under a d-q coordinate system; when the permanent magnet synchronous generator operates stably, an open-loop speed control model of the permanent magnet synchronous generator is established; or when the permanent magnet synchronous generator is unstable in operation, establishing a closed-loop speed control model of the permanent magnet synchronous generator; inputting the polynomial excitation signal into an open-loop speed control model or a closed-loop speed control model to obtain a measurable signal curve of the permanent magnet synchronous generator; and obtaining a related polynomial coefficient capable of measuring a signal curve, and carrying out matrix change on the coefficient to obtain a parameter identification result of the permanent magnet synchronous generator. The parameter identification method provided by the invention can identify the motor parameters under the conditions that the motor is relatively stable in operation and is subjected to unstable interference, and has the advantages of high speed, strong stability and high accuracy of identification results.
Description
Technical Field
The invention relates to the technical field of generators, in particular to a permanent magnet synchronous generator parameter identification method based on a polynomial evolution model.
Background
The use of renewable energy plays an important role in a power grid, the wind power generation system in a direct drive mode of the permanent magnet synchronous generator is based on a primary grid and equipment, the effective utilization and control of wind energy are realized through the processes of AC/DC conversion, DC/AC conversion, transformer conversion and the like, the speed signal acquisition and control are carried out through a motor control system, and the reliability and economic management of the wind power generation system are realized. The motor parameter identification technology can quickly detect relevant parameters of the permanent magnet synchronous generator, feeds the relevant parameters back to the motor control system when the parameters greatly deviate from a normal range, effectively processes fault conditions by reducing loads and the like, and realizes stable operation of the wind power generation system, so that economic losses of motors and equipment caused by faults are reduced to the maximum extent, and the motor parameter identification technology plays an important role in improving the reliability of the wind power generation system.
At present, the existing online identification method mainly comprises a recursive least square method, a frequency domain response method, a model reference self-adaption method, a Kalman filtering method and an artificial intelligence algorithm. However, these methods have their own disadvantages, for example, the recursive least square method is prone to "data saturation" along with the increase of data amount, and when the identification result is refreshed in the identification process, new data is submerged by old data, and thus the accuracy of the identification result cannot be guaranteed; the main limitation of the frequency domain response method is that the frequency domain analysis is based on a linear system, so that the nonlinearity in a dynamic process cannot be reflected; the model reference self-adaptive method has the advantages that parameter convergence can be ensured, but the problems of complex adjustable model setting, difficult self-adaptive speed determination, easy influence of measurement noise on the recognition result and the like exist; the Kalman filtering method not only has large overall calculation amount of the algorithm, but also is only suitable for a linear system; the artificial intelligence algorithm model is not only complex and large in calculation amount, but also needs to be continuously self-learned to reduce errors. Therefore, how to provide a new method for identifying motor parameters to overcome the above-mentioned problems is a problem to be solved in the art.
Disclosure of Invention
The invention aims to provide a permanent magnet synchronous generator parameter identification method based on a polynomial evolution model, which can identify motor parameters under the conditions of relatively stable operation of a motor and unstable interference and has the advantages of high speed, strong stability and high accuracy of identification results.
In order to overcome the defects in the prior art, the invention provides a permanent magnet synchronous generator parameter identification method based on a polynomial evolution model, which comprises the following steps:
acquiring an electrical part equation and a mechanical part equation of the permanent magnet synchronous generator under a d-q coordinate system;
when the permanent magnet synchronous generator operates stably, an open-loop speed control model of the permanent magnet synchronous generator is established according to the electrical part equation and the mechanical part equation; or when the permanent magnet synchronous generator is unstable in operation, establishing a closed-loop speed control model of the permanent magnet synchronous generator according to the electrical part equation and the mechanical part equation;
inputting polynomial excitation signals to the open-loop speed control model or the closed-loop speed control model to obtain a measurable signal curve of the permanent magnet synchronous generator; wherein the measurable signals include voltage, current and rotational speed;
and obtaining a related polynomial coefficient of the measurable signal curve, and carrying out matrix change on the related polynomial coefficient to obtain a parameter identification result of the permanent magnet synchronous generator.
Further, the parameters of the permanent magnet synchronous generator include: equivalent inductance of d axis and q axis, stator resistance, torque coefficient, total moment of inertia converted to rotor axis, viscous friction coefficient converted to rotor axis and dry friction torque under d-q coordinate system.
Further, in the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model, the polynomial excitation signal is a jerk wave.
Further, in the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model, a related polynomial coefficient of the measurable signal curve is fitted through a curve fitting tool of Matlab or Excel software.
Further, in the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model, an open-loop speed control model or a closed-loop speed control model of the permanent magnet synchronous generator is established through Simulink software.
The invention also provides a permanent magnet synchronous generator parameter identification system based on the polynomial evolution model, which comprises the following steps:
the equation acquisition unit is used for acquiring an electrical part equation and a mechanical part equation of the permanent magnet synchronous generator under the d-q coordinate system;
the model building unit is used for building an open-loop speed control model of the permanent magnet synchronous generator according to the electrical part equation and the mechanical part equation when the permanent magnet synchronous generator operates stably; or when the permanent magnet synchronous generator is unstable in operation, establishing a closed-loop speed control model of the permanent magnet synchronous generator according to the electrical part equation and the mechanical part equation;
the curve acquisition unit is used for inputting polynomial excitation signals to the open-loop speed control model or the closed-loop speed control model to obtain a measurable signal curve of the permanent magnet synchronous generator; wherein the measurable signals include voltage, current and rotational speed;
and the parameter identification unit is used for obtaining a related polynomial coefficient of the measurable signal curve, and carrying out matrix change on the related polynomial coefficient to obtain a parameter identification result of the permanent magnet synchronous generator.
Further, the parameters of the permanent magnet synchronous generator include: equivalent inductance of d axis and q axis, stator resistance, torque coefficient, total moment of inertia converted to rotor axis, viscous friction coefficient converted to rotor axis and dry friction torque under d-q reference system.
Further, in the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model, the polynomial excitation signal is a jerk wave.
Further, in the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model, a related polynomial coefficient of the measurable signal curve is fitted through a curve fitting tool of Matlab or Excel software.
Further, in the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model, an open-loop speed control model or a closed-loop speed control model of the permanent magnet synchronous generator is established through Simulink software.
The present invention also provides a computer terminal device, comprising:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model as described in any one of the above.
The invention also provides a computer readable storage medium, on which a computer program is stored, the computer program being executed by a processor to implement the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model as described in any one of the above.
Compared with the prior art, the invention at least has the following beneficial effects:
(1) the invention takes a park model of the permanent magnet synchronous generator under a d-q reference system as a research object, designs a speed control system of the motor, and carries out open-loop speed control on the motor under the condition of neglecting motor interference; under the condition that the influence of interference cannot be ignored, information of an output terminal of the synchronous generator needs to be fed back to an input end, and therefore closed-loop speed control is conducted on the motor.
(2) The method adopts the jerk wave as the excitation signal, and effectively restricts the acceleration, the speed and the torque of the synchronous generator by ensuring that the jerk value is unchanged in each independent time stage.
(3) The algorithm of the invention adopts Simulink software to model the permanent magnet synchronous generator, and under the condition of stable operation of the permanent magnet synchronous generator, the excitation signal is input and the measurable data is integrated through the programmable chip, thereby effectively solving the real-time detection of the motor parameters under the actual operation condition.
(4) The algorithm of the invention uses Matlab software to solve the polynomial evolution model. By collecting the voltage, current and rotating speed working area data of a speed control model of the motor in Simulink software and utilizing a curve fitting tool to calculate polynomial coefficients of corresponding signals, the related parameters of the permanent magnet synchronous generator are calculated by applying corresponding matrix transformation, and the method is simple and convenient in calculation process and high in efficiency.
(5) The accuracy and reliability of the algorithm can be verified by using a Matlab/Simulink software mode, and the motor parameters can be quickly and stably identified under the conditions that the motor is relatively stable in operation and is disturbed by instability.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a permanent magnet synchronous generator parameter identification method based on a polynomial evolution model according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a method for identifying parameters of a permanent magnet synchronous generator based on a polynomial evolution model according to an embodiment of the present invention;
fig. 3 is a schematic diagram illustrating an open-loop simulation principle of a permanent magnet synchronous generator according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a scheme for controlling the open-loop speed of a permanent magnet synchronous generator in a d-q reference frame according to an embodiment of the present invention;
fig. 5 is a schematic diagram illustrating a closed-loop simulation principle of a permanent magnet synchronous generator according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a closed-loop speed control scheme for a PMSM in a d-q reference frame according to an embodiment of the present invention;
FIG. 7 is a graph of a jerk polynomial excitation signal over time provided by an embodiment of the present invention;
fig. 8 is a diagram of an algorithm for a permanent magnet synchronous generator according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a permanent magnet synchronous generator parameter identification system based on a polynomial evolution model according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1-2, which are a schematic flow chart and a schematic principle of a method for identifying parameters of a permanent magnet synchronous generator based on a polynomial evolution model according to an embodiment of the present invention, specifically, in this embodiment, a method for identifying parameters of a permanent magnet synchronous generator based on a polynomial evolution model includes the following specific steps:
s10, acquiring an electrical part equation and a mechanical part equation of the permanent magnet synchronous generator under a d-q coordinate system;
in this embodiment, an electrical part equation and a mechanical part equation of the motor control system are derived mainly based on a park mathematical model of power conservation in a d-q reference system, specifically:
the electrical part equation of the permanent magnet synchronous generator under the d-q coordinate system is shown as the following formulas (1) and (2):
wherein psisfIs the peak of the magnetic flux from the permanent magnet; v. ofd、vq、id、iqEquivalent voltages and currents on the d-axis and q-axis, respectively. Ω (t) is the rotor speed; rsIs the stator coil resistance; l is the equivalent inductance on the d and q axes; n is a radical ofpIs the number of pole pairs.
Further, the mechanical part equations of the permanent magnet synchronous generator are equations (3) and (4):
in the formula, Cem(t) is the electromagnetic torque; j is the moment of inertia translated to the motor shaft; f is the coefficient of viscous friction; crIs the dry coefficient of friction.
Suppose that the torque constant is calculated by the formula:
simultaneous equations (3), (4) and (5) can yield equation (6):
s201, when the permanent magnet synchronous generator operates stably, establishing an open-loop speed control model of the permanent magnet synchronous generator according to the electrical part equation and the mechanical part equation;
in this embodiment, it should be noted that when the disturbance is small enough not to disturb the steady operation state of the permanent magnet synchronous generator, the permanent magnet synchronous generator may be controlled in an open loop. After the speed signal is given, the permanent magnet synchronous generator is not controlled by the speed set value. As the load changes, the rotational speed of the motor also changes, which changes depend on the characteristics of the motor. At this time, it is not necessary to compare the rotation speed of the motor with a given speed, and therefore the open loop control of the speed is relatively simple, but the fluctuation width of the rotation speed is relatively large. Wherein, the open-loop simulation principle of the permanent magnet synchronous generator is shown in fig. 3, and the general open-loop speed control scheme of the permanent magnet synchronous generator under the d-q reference system is shown in fig. 4:
specifically, assume that:
ed＝-NpLΩ(t)iq(t),eq＝Ω(t)(NpLid(t)+KT) (7)
wherein e isd、eqFrom equation (7), the electrical part of the control system of the permanent magnet synchronous generator can be equivalent to the following equation:
where p ═ d/dt is the differential operator, the mechanical part can be equivalently represented by the following equation:
suppose that
The open-loop speed control model of a permanent magnet synchronous generator is shown in fig. 1. Six parameters to be identified are L, Rs、KTJ, f and Cr。
S202, when the permanent magnet synchronous generator is unstable in operation, a closed-loop speed control model of the permanent magnet synchronous generator is established according to the electrical part equation and the mechanical part equation;
in the present embodiment, in consideration of the influence of disturbance on the speed control system of the permanent magnet synchronous generator, the permanent magnet synchronous generator constant feeds back information (rotation speed) of the output terminal to the input terminal and inputs an input signal to the input terminal after the speed is given. When the motor speed is found to change, the feedback signal at the output end does not meet the requirement of the original input signal. At this time, the fluid is deliveredThe in signal will be modified to return the motor speed to the set value (it is not possible to return completely to the set value). The closed-loop control of the speed regulation of the permanent magnet synchronous generator is more complex, and the speed change of the system is much smaller. Wherein, the closed-loop simulation principle of the permanent magnet synchronous generator is shown in fig. 5, the closed-loop control structure of the permanent magnet synchronous generator controlled by the nested loop is shown in fig. 6, wherein Cid、Ciq、CΩIs a PI regulator, G0Power supply for analog driver, the function of which is to allow conversion of low-level control voltage to high-level control voltage vdAnd vq。
S30, inputting polynomial excitation signals to the open-loop speed control model or the closed-loop speed control model to obtain a measurable signal curve of the permanent magnet synchronous generator; wherein the measurable signals include voltage, current and rotational speed;
in this embodiment, the polynomial excitation signal used is a jerk wave, as shown in fig. 7, fig. 7 is a graph of the jerk polynomial excitation signal provided in this embodiment as a function of time, and it should be noted that the jerk wave, i.e., the derivative of the acceleration, effectively constrains the acceleration, speed and torque of the synchronous generator by ensuring that the jerk value is unchanged at each independent time stage. The input of the jerk excitation signal to the open-loop speed control model or the closed-loop speed control model can be realized by performing a standard experiment on a control system. The measurable signal curve of the permanent magnet synchronous generator refers to an actual curve of physical quantities such as voltage, current and rotating speed measured by corresponding sensors in a physical system. The permanent magnet synchronous generator includes a time-varying curve of voltage, current, and rotation speed measurement values, as shown in fig. 8, for example.
And S40, obtaining a related polynomial coefficient of the measurable signal curve, and carrying out matrix change on the related polynomial coefficient to obtain a parameter identification result of the permanent magnet synchronous generator.
In this embodiment, the parameters of the permanent magnet synchronous generator include: equivalent inductance of d axis and q axis, stator resistance, torque coefficient, total moment of inertia converted to rotor axis, viscous friction coefficient converted to rotor axis and dry friction torque under d-q coordinate system.
Further, the method can be implemented by a general curve fitting tool, for example, Matlab or Excel can fit a polynomial satisfying the accuracy for a series of input sample values, the coefficient of the polynomial is the required value, and it needs to be explained that the method is a standard process of fitting in the prior art, and is not further explained here.
According to the parameter identification method provided by the embodiment of the invention, a park model of the permanent magnet synchronous generator in a d-q reference system is taken as a research object, a speed control system of the motor is designed, and open-loop speed control is carried out on the motor under the condition that motor interference can be ignored; under the condition that the influence of interference cannot be ignored, information of an output terminal of the synchronous generator needs to be fed back to an input end, and therefore closed-loop speed control is conducted on the motor. And simultaneously, a jerk wave is used as an excitation signal, and the acceleration, the speed and the torque of the synchronous generator are effectively constrained by ensuring that the jerk value is unchanged in each independent time stage.
In one embodiment, an open-loop speed control model or a closed-loop speed control model of the permanent magnet synchronous generator is established through Simulink software. It should be noted that Simulink is a block diagram environment for multi-domain simulation and model-based design. It can support system design, simulation, automatic code generation, and continuous testing and verification of embedded systems. Meanwhile, a graphic editor, a customizable module library and a solver can be provided, and dynamic system modeling and simulation can be performed. In the embodiment, modeling can be improved through Simulink software, and a user can simulate real and dynamic operation at the minimum cost in a graphical mode, so that the modeling efficiency is greatly improved, and the development cost is reduced.
Referring to fig. 9, in an embodiment, a system for identifying parameters of a permanent magnet synchronous generator based on a polynomial evolution model is further provided, including:
the equation acquisition unit 01 is used for acquiring an electrical part equation and a mechanical part equation of the permanent magnet synchronous generator in a d-q coordinate system;
the model building unit 02 is used for building an open-loop speed control model of the permanent magnet synchronous generator according to the electrical part equation and the mechanical part equation when the permanent magnet synchronous generator operates stably; or when the permanent magnet synchronous generator is unstable in operation, establishing a closed-loop speed control model of the permanent magnet synchronous generator according to the electrical part equation and the mechanical part equation;
a curve obtaining unit 03, configured to input a polynomial excitation signal to the open-loop speed control model or the closed-loop speed control model to obtain a measurable signal curve of the permanent magnet synchronous generator; wherein the measurable signals include voltage, current and rotational speed;
and the parameter identification unit 04 is used for obtaining a related polynomial coefficient of the measurable signal curve, and performing matrix change on the related polynomial coefficient to obtain a parameter identification result of the permanent magnet synchronous generator.
According to the parameter identification system provided by the embodiment of the invention, when the corresponding method is executed, a park model of the permanent magnet synchronous generator under a d-q reference system is taken as a research object, a speed control system of the motor is designed, and the motor is subjected to open-loop speed control under the condition that the motor interference can be ignored; under the condition that the influence of interference cannot be ignored, information of an output terminal of the synchronous generator needs to be fed back to an input end, and therefore closed-loop speed control is conducted on the motor. And simultaneously, a jerk wave is used as an excitation signal, and the acceleration, the speed and the torque of the synchronous generator are effectively constrained by ensuring that the jerk value is unchanged in each independent time stage.
In an embodiment, there is also provided a computer terminal device including:
one or more processors;
a memory coupled to the processor for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model as described above.
The processor is used for controlling the overall operation of the computer terminal equipment so as to complete all or part of the steps of the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model. The memory is used to store various types of data to support the operation at the computer terminal device, which data may include, for example, instructions for any application or method operating on the computer terminal device, as well as application-related data. The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The computer terminal Device may be implemented by one or more Application Specific integrated circuits (AS 1C), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components, and is configured to perform the method for identifying parameters of a permanent magnet synchronous generator based on a polynomial evolution model according to any of the embodiments described above, and achieve the technical effects consistent with the above methods.
In an embodiment, there is further provided a computer readable storage medium comprising program instructions, which when executed by a processor, implement the steps of the permanent magnet synchronous generator parameter identification method based on the polynomial evolution model according to any of the above embodiments. For example, the computer readable storage medium may be the above memory including program instructions, and the program instructions may be executed by a processor of a computer terminal device to perform the method for identifying parameters of a permanent magnet synchronous generator based on a polynomial evolution model according to any of the above embodiments, and achieve the technical effects consistent with the above method.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A permanent magnet synchronous generator parameter identification method based on a polynomial evolution model is characterized by comprising the following steps:
acquiring an electrical part equation and a mechanical part equation of the permanent magnet synchronous generator under a d-q coordinate system;
when the permanent magnet synchronous generator operates stably, an open-loop speed control model of the permanent magnet synchronous generator is established according to the electrical part equation and the mechanical part equation; or when the permanent magnet synchronous generator is unstable in operation, establishing a closed-loop speed control model of the permanent magnet synchronous generator according to the electrical part equation and the mechanical part equation;
inputting polynomial excitation signals to the open-loop speed control model or the closed-loop speed control model to obtain a measurable signal curve of the permanent magnet synchronous generator; wherein the measurable signals include voltage, current and rotational speed;
and obtaining a related polynomial coefficient of the measurable signal curve, and carrying out matrix change on the related polynomial coefficient to obtain a parameter identification result of the permanent magnet synchronous generator.
2. The permanent magnet synchronous generator parameter identification method based on the polynomial evolution model as claimed in claim 1, wherein the parameters of the permanent magnet synchronous generator comprise:
equivalent inductance of d axis and q axis, stator resistance, torque coefficient, total moment of inertia converted to rotor axis, viscous friction coefficient converted to rotor axis and dry friction torque under d-q coordinate system.
3. The permanent magnet synchronous generator parameter identification method based on the polynomial evolution model according to any of claims 1 or 2, characterized in that the polynomial excitation signal is a jerk wave.
4. The permanent magnet synchronous generator parameter identification method based on the polynomial evolution model according to any of claims 1 or 2, characterized in that the correlation polynomial coefficients of the measurable signal curve are fitted by a curve fitting tool of Matlab or Excel software.
5. The permanent magnet synchronous generator parameter identification method based on the polynomial evolution model according to any of claims 1 or 2, characterized in that an open-loop speed control model or a closed-loop speed control model of the permanent magnet synchronous generator is established by Simulink software.
6. A permanent magnet synchronous generator parameter identification system based on a polynomial evolution model is characterized by comprising:
the equation acquisition unit is used for acquiring an electrical part equation and a mechanical part equation of the permanent magnet synchronous generator under the d-q coordinate system;
the model building unit is used for building an open-loop speed control model of the permanent magnet synchronous generator according to the electrical part equation and the mechanical part equation when the permanent magnet synchronous generator operates stably; or when the permanent magnet synchronous generator is unstable in operation, establishing a closed-loop speed control model of the permanent magnet synchronous generator according to the electrical part equation and the mechanical part equation;
the curve acquisition unit is used for inputting polynomial excitation signals to the open-loop speed control model or the closed-loop speed control model to obtain a measurable signal curve of the permanent magnet synchronous generator; wherein the measurable signals include voltage, current and rotational speed;
and the parameter identification unit is used for obtaining a related polynomial coefficient of the measurable signal curve, and carrying out matrix change on the related polynomial coefficient to obtain a parameter identification result of the permanent magnet synchronous generator.
7. The system of claim 6, wherein the parameters of the PMSM comprise:
equivalent inductance of d axis and q axis, stator resistance, torque coefficient, total moment of inertia converted to rotor axis, viscous friction coefficient converted to rotor axis and dry friction torque under d-q reference system.
8. The permanent magnet synchronous generator parameter identification system based on the polynomial evolution model according to any of claims 6 or 7, characterized in that the polynomial excitation signal is a jerk wave.
9. The permanent magnet synchronous generator parameter identification system based on the polynomial evolution model according to any of claims 6 or 7, characterized in that the correlation polynomial coefficients of the measurable signal curve are fitted by a curve fitting tool of Matlab or Excel software.
10. The permanent magnet synchronous generator parameter identification system based on the polynomial evolution model according to any of claims 6 or 7, characterized in that an open-loop speed control model or a closed-loop speed control model of the permanent magnet synchronous generator is established by Simulink software.
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