Command filtering-based synchronous motor neural network back-stepping discrete control method

Abstract

The invention discloses a command filtering-based synchronous motor neural network back-stepping discrete control method. In order to solve the problem that a permanent magnet synchronous motor has many variables and strong coupling, and is easily affected by external load and motor related parameter changes, a neural network adaptive controller is designed based on a command filtering technologyand the principle of a back-stepping method; the neural network technology is used to approximate unknown nonlinear terms; the adaptive back-stepping method is applied to the design of the controller;and the command filtering technology is used to solve the problem of computation explosion. According to the method of the invention, complete controller design which is absent in a traditional method is supplemented, so that Lyapunov stability analysis is improved; after being subjected to the control and adjustment of the controller, the operation of a motor can quickly reach a steady state, sothat the motor is more suitable for a control object requiring fast dynamic response; and simulation results show that the novel controller overcomes the influence of parameter inaccuracy, ensures anideal control effect, and achieves the fast and stable tracking of a position.

Description

technical field [0001] The invention belongs to the technical field of position tracking control of permanent magnet synchronous motors, and in particular relates to a command filtering-based neural network backstep discrete control method for synchronous motors. Background technique [0002] In recent years, with the rapid development of power electronics technology, microelectronics technology, new motor control theory and rare earth permanent magnet materials, permanent magnet synchronous motors have been rapidly popularized and applied. Compared with the traditional electric excitation synchronous motor, the permanent magnet synchronous motor, especially the rare earth permanent magnet synchronous motor has the advantages of less loss, high efficiency and obvious power saving effect. [0003] The permanent magnet synchronous motor provides excitation with permanent magnets, which makes the structure of the motor relatively simple, reduces the cost of processing and assem...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to propose a neural network backstep discrete control method for synchronous motors based on command filtering, which uses neural network technology to approach the unknown nonlinear terms of the system, and command filtering technology to solve the problem of "computing explosion". The backstepping method is used to construct the controller, so as to realize the tracking control of the position of the synchronous motor

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