Observer-based electric vehicle permanent magnet synchronous motor system error compensation control method

Abstract

The invention discloses an observer-based electric vehicle permanent magnet synchronous motor system error compensation control method. According to the problems of nonlinearity and iron loss in an electric vehicle motor driving and control system, a command filtering technique is introduced into a traditional back-stepping design method; a compensation mechanism is introduced, so that error caused by filtering can be reduced, and therefore, control precision can be improved, and the problem of calculation explosion caused by continuous derivation of traditional back-stepping control can be solved; and a dimensionality reduction observer is adopted to estimate the angular velocity of the rotor of a permanent magnet synchronous motor, a fuzzy logic system is utilized to approximate a non-linear function in the driving system, and a command filtering back-stepping technique and an adaptive method are combined together to construct a controller. With the method of the invention adopted, the operation of the motor can achieve a stable state fast. The method is more suitable for such control objects as electric vehicle driving systems which require fast dynamic response.

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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