Permanent magnet synchronous motor chaos suppression method and system based on equivalent input disturbance

Abstract

The invention provides a permanent magnet synchronous motor chaos suppression method and system based on equivalent input disturbance. The method comprises the following steps: firstly, establishing asystem model of a permanent magnet synchronous motor; secondly, adding input to obtain a system chaos model of the permanent magnet synchronous motor, suppressing the system interference by adoptinga controller based on an equivalent input interference method, and adopting a PI controller to control the system current and the rotating speed; and finally, obtaining the closed-loop system input based on the equivalent input interference. The permanent magnet synchronous motor chaos suppression system based on the equivalent input disturbance comprises different modules to suppress the system interference according to the chaos suppression requirements of the permanent magnet synchronous motors. The permanent magnet synchronous motor chaos suppression method and the system based on the equivalent input disturbance provided by the invention have the following beneficial effects: the calculation amount is small and the real-time performance is high; the buffeting problem of the system isavoided, and the application range is improved; the parameter design is simple, and practical application is facilitated; and the system is low in conservation, high in robustness and higher in control precision.

Description

technical field [0001] The invention relates to the field of motor control, in particular to a method and system for suppressing chaos of a permanent magnet synchronous motor based on equivalent input disturbance. Background technique [0002] Permanent magnet synchronous motors are widely used in the development of modern industrial production and play an important role. Compared with other motors, it has the advantages of high efficiency, power saving, high power factor, high reliability, small size, high power density and low noise. However, permanent magnet synchronous motors also have the characteristics of multi-variable, multi-parameter and strong coupling, which will lead to complex dynamic behavior of the system. In recent years, studies by scholars at home and abroad have shown that in some cases, there is chaos in permanent magnet synchronous motors, and the essential characteristics of chaos (initial value sensitivity and restrained randomness, etc.) are contrar...

AI Technical Summary

Problems solved by technology

However, permanent magnet synchronous motors also have the characteristics of multi-variable, multi-parameter and strong coupling, which will lead to complex dynamic behavior of the system

In recent years, studies by scholars at home and abroad have shown that in some cases, there is chaos in permanent magnet synchronous motors, and the essential characteristics of chaos (initial value sensitivity and restrained randomness, etc.) are contrary to the high-speed and high-precision control objectives of permanent magnet synchronous motors. , and the existence of chaos leads to intermittent oscillations of torque or speed, unstable control, and irregular electromagnetic noise in the system, which may even destroy the stability of the system.

At the same time, the traditional linear control method has lost its effectiveness in suppressing or eliminating the existence of chaos. Therefore, it is of great scientific significance and application to study an effective chaos suppression method for the control system of permanent magnet synchronous motors and realize the high-speed and high-precision control of permanent magnet synchronous motors. value

[0003] Existing similar published patents and papers include: A fast terminal sliding mode control method for permanent magnet synchronous motor chaotic system based on neural network (CN 105450123 B). model, initialize system parameters, and then design a fast terminal synovial film controller based on neural network. This invention uses neural network and terminal synchronous film method to realize the stabilization problem of permanent magnet synchronous motor chaotic system, but this method has a large amount of calculation and poor real-time performance , and the system has a chattering problem, which is inconvenient for real-time control of the motor; the method for synchronous control of dual permanent magnet synchronous motors based on extended state observers (CN 105846741 A), the technical solution of this invention is: firstly establish a permanent magnet synchronous motor chaotic System model, initialize the system parameters, then define the synchronous error system, and expand the system state, and finally design the nonlinear extended state observer and adaptive sliding mode controller, the invention uses the nonlinear extended state observer to estimate and compensate the Uncertain items and external disturbances, designing an adaptive sliding mode controller to ensure that the state of the system is quickly stable and converges, but the method parameter selection is complicated and difficult in practical applications; similar papers include: Jinpeng Yu, Bing Chen, Haisheng Yu, Junwei Gao, Adaptive fuzzy tracking control for the chaotic permanent magnet synchronous motor drive system via backstepping, Nonlinear Analysis: Real World Applications, 2011, 12: 671-682. The method of this paper is: first establish the mathematical model of the permanent magnet synchronous motor, and then design the Adaptive fuzzy controller of backstepping technology, this paper uses neural network and fuzzy logic algorithm to approximate the nonlinear terms in the system, but this method has a large amount of calculation, poor real-time performance, and is not convenient for real-time control of motors; Jian Hu, Yang Qiu, Hui Lu, Adaptive robust nonlinear feedback control of chaos in PMSM system with modeling uncertainty, Applied Mathematical Modeling, 2016, 40:8265-8275, the method of this paper is: first establish a permanent magnet synchronous motor system model, and analyze the chaotic characteristics, and then, Designing an Adaptive Robust Nonlinear Feedback Controller, this paper uses a robust nonlinear feedback method to deal with chaos and system model uncertainty

However, this method is conservative, resulting in limited control accuracy, which is not conducive to the high-speed and high-precision control of the motor.

Images