An observer-based error compensation control method for electric vehicle permanent magnet synchronous motor system

Abstract

The invention discloses an observer-based error compensation control method for an electric vehicle permanent magnet synchronous motor system. This method aims at the problems of nonlinearity and iron loss in the electric vehicle motor drive and control system, and introduces command filtering technology into the traditional backstepping design method. By introducing a compensation mechanism, the error generated by filtering is reduced and the control efficiency is improved. Accuracy, and successfully overcome the "calculation explosion" problem caused by continuous derivation in the traditional backstepping control; the present invention estimates the rotor angular velocity of the permanent magnet synchronous motor through the dimensionality reduction observer, and uses the fuzzy logic system to approximate the motor The nonlinear function in the drive system combines the command filter backstepping technology with the self-adaptive method to construct the controller; the method of the invention can make the motor run to a stable state quickly, and is more suitable for the electric vehicle drive system that requires fast dynamic response controlled object.

Description

technical field [0001] The invention belongs to the technical field of speed regulation control of an electric vehicle motor, and in particular relates to an observer-based error compensation control method for a permanent magnet synchronous motor system of an electric vehicle. Background technique [0002] Since the international financial crisis, the United States, Europe, Japan, South Korea and other developed countries are promoting the transformation and development of the automobile industry. Electric vehicle (EV) is a clean, efficient and sustainable means of transportation in the 21st century, thus forming a new round of upsurge in the development of new energy vehicles worldwide. Among all technological innovations, motor drives play an extremely important role, because future drive methods must have the characteristics of low energy consumption, high environmental protection, and strong sustainability. [0003] Electric vehicles include mechanical systems such as ...

AI Technical Summary

Problems solved by technology

[0005] However, the continuous derivation of the virtual control function in the traditional backstepping control is easy to cause the problem of "computational explosion"

In addition, classical control requires the use of sensors to directly measure the state variable information of the system, but the application of sensors still has many problems, such as high cost, low reliability, and performance degradation due to vibration

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