Research On Permanent Magnet Synchronous Linear Motor Based On Neural Network PID Control

Permanent magnet synchronous linear motor has the features of simple structure, high efficiency, and high positioning accuracy.It is widely used in modern processing, automatic control system, traffic and civil fields.Compared with the traditional "roller screw+rotating machine" transmission mode, linear motor has no intermediate gear, although mechanical transmission chain caused by some bad effects has been improved, it also increase the control difficulty.Although the traditional PID control has much advantages, in the applications of high nonlinear, high external disturbance,it is unable to achieve the ideal control effects. Therefore, in order to make the control system has better anti-interference ability and adaptive ability, it must introduce the advanced control strategies to reduce the external disturbance to the control system.In this paper first analysis the vector control of the system based on permanent magnet synchronous linear motor operation principle, then establish the mathematical model of the motor and construct the simulation model of linear motor in the MATLAB/Simulink, then get the speed and thrust output waveform of traditional PID control through simulation. This paper put forward the integral separated controller used in linear motor control, the result show that performance of the motor has been improved to some extent.According to fast response, overshoots and anti-interference ability requirements, this paper figure out the method that use the RBF-PID control method as the speed loop controller, the simulation results show that this controller is better than the traditional PID and the integral separated controller, it has better tracking performance and stronger robustness, all these prove the effectiveness of the proposed method.