Salient pole type permanent magnet synchronous motor online parameter identification method

A permanent magnet synchronous motor and parameter identification technology, which is applied in the control of generators, motor control, motor generator control, etc., can solve problems such as large amount of calculation, motor operation interference, etc., achieve simple algorithm, avoid data saturation, and be easy to implement Effect

Active Publication Date: 2019-04-23
BEIJING INSTITUTE OF TECHNOLOGYGY
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AI Technical Summary

Problems solved by technology

At present, the commonly used online parameter identification methods include least squares method, model reference adaptive method, extended Kalman filter method, etc.,

Method used

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  • Salient pole type permanent magnet synchronous motor online parameter identification method
  • Salient pole type permanent magnet synchronous motor online parameter identification method
  • Salient pole type permanent magnet synchronous motor online parameter identification method

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Embodiment Construction

[0037] The present invention relates to a quadrature axis and a straight axis, and the meaning of the technical feature is the quadrature axis and the straight axis.

[0038] The method provided by the present invention will be further explained in detail below in conjunction with the accompanying drawings.

[0039] The present invention provides an online parameter identification method for a salient pole permanent magnet synchronous motor, which simultaneously identifies multiple parameters based on the forgetting factor recursive least squares method, such as figure 1 As shown, it specifically includes the following steps:

[0040] Step 1, establishing a dq coordinate system model for the salient pole permanent magnet synchronous motor;

[0041] Step 2. Predict the system behavior of the model established in the step 1 through the finite control set-model predictive control (FCS-MPC) method, and add the uncertain components of inductance and flux linkage to the given induc...

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Abstract

The invention discloses a salient pole type permanent magnet synchronous motor online parameter identification method. By means of the method, alternating and direct-axis inductance and magnetic fluxlinkage in a system operation process can be decoupled out; furthermore, accurate identification is performed through a recursive least-squares method based on forgetting factors, accurate change of motor parameters is traced in real time, interaction among the parameters can be reduced in a process, a discreet value is close to a true value, effects of a plurality of interferences on the motor parameters in motor operation are reduced, the identification accuracy is improved to a great extent, and an algorithm is simple and convenient and easy to realize; meanwhile, existence of the forgetting factors can avoid the data saturation problem caused by too large data size; thus, the identification method is suitable for the situation that rotation speed and torque simultaneously change.

Description

technical field [0001] The invention relates to an on-line identification method for parameters of a permanent magnet synchronous motor, in particular to a technology for simultaneously realizing online identification of multiple parameters of a salient-pole permanent magnet synchronous motor based on a recursive least square method. Background technique [0002] The permanent magnet synchronous motor is a multivariable, strongly coupled nonlinear system. The change of the motor parameters has an important impact on the control effect. It changes with different working conditions at different times, and the coupling between the parameters can easily lead to the control effect not being achieved. expected. [0003] In order to improve the control performance of the system, it is necessary to decouple and identify the parameters of the motor to obtain accurate parameters. The existing multi-parameter online identification methods for permanent magnet synchronous motors are ge...

Claims

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Application Information

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IPC IPC(8): H02P21/14H02P25/022
CPCH02P21/14H02P21/141H02P25/022H02P2207/05
Inventor 张硕周莹张承宁李雪萍张春涛
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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