Permanent magnet synchronous motor control method

Abstract

The invention discloses a permanent magnet synchronous motor control method, which is characterized in that variable speed and variable exponential terms are added on the basis of a conventional power reaching rate to form an adaptive reaching law so as to enable the reaching speed to be associated with the system state change, so that on the one hand, the system response speed and the reaching speed are effectively increased, and on the other hand, buffeting of the system is reduced. Compared with conventional reaching law sliding mode control, the method has better dynamic performance and higher robustness. Meanwhile, the invention provides a multi-objective parameter optimization method based on an intelligent algorithm for the designed controller, the three objectives of rotating speed rise time, overshoot and steady-state error are comprehensively considered, the parameters related to the controller are optimized by adopting the intelligent algorithm, a reference is provided for setting of the parameters of the controller, and the blindness of parameter setting is avoided.

Description

technical field [0001] The invention relates to a sliding mode control and parameter optimization method of a permanent magnet synchronous motor based on a novel self-adaptive reaching law, belonging to the field of motor control. Background technique [0002] Permanent magnet synchronous motor (PMSM) has a series of advantages such as simple structure, reliable operation, small size, light weight, high efficiency, and the shape and size of the motor can be flexible and diverse. It has been used in aerospace, electric vehicles, electric drives and computer peripherals. Equipment and other fields have been widely used, and the development potential is huge. However, PMSM is a complex control object with multiple variables, strong coupling and nonlinearity. In order to obtain a good control effect, an effective control algorithm is required. [0003] The emergence of vector control has great research significance for motor control. Since there is no problem with the slip rate...

AI Technical Summary

Problems solved by technology

However, these typical reaching laws have certain deficiencies, and the selection of controller parameters is also blind, which greatly reduces the control effect of the controller.

For example, the power reaching law has a faster approach speed, but when approaching the sliding surface, the approach speed slows down, resulting in too long arrival time, which is not conducive to the design of the controller; the variable speed reaching law decreases with the state variable Small, the width of the sliding mode area gradually decreases, and finally converges to the origin of the system. However, if the approach coefficient is large, the state variable will be large when the system reaches the sliding mode surface, which will lead to large system chattering; if the approach coefficient is small , it will cause the system arrival time to be too long, both cases are not conducive to the controller design

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