永磁同步电机模糊控制和前馈补偿研究

Research on fuzzy control and feedforward compensation for permanent magnet synchronous motor

针对永磁同步电机控制位置跟踪精度低、响应速度慢等问题,提出一种模糊控制和前馈补偿相结合的新型位置环控制方法。在分析永磁同步电机矢量控制原理的基础上,将比例P算法和模糊控制算法相结合,并引入前馈补偿算法用于永磁同步电机位置环控制,在Matlab/Simulink仿真平台上搭建永磁同步电机仿真模型并进行对比分析。仿真结果表明,使用新型位置环控制器系统相较于常规P算法和模糊P算法控制系统,在电机空载、带负载两种运行状态下,输入阶跃位置信号时,响应速度分别提高25%和10%、24%和9.5%;输入斜坡位置信号时,跟踪误差分别减小26.7%和42.7%、26.9%和44.5%。该方法可有效提高系统的位置跟踪效果与鲁棒性。

In order to solve the problem of low position tracking accuracy and slow response speed of permanent magnet synchronous motor(PMSM)control,a new position loop control method combining fuzzy control and feedforward compensation is proposed.Based on the analysis of the vector control principle of PMSM,the proportional P algorithm and fuzzy control algorithm are combined,and the feedforward compensation algorithm is introduced for the position loop control of PMSM.The simulation model of permanent magnet synchronous motor is built on the Matlab/Simulink simulation platform and compared.The simulation results show that the response speed of the system using the new position loop controller is improved by 25%,10%,24%and 9.5%respectively when the step position signal is input under the motor no-load and loaded operating conditions,compared with the system controlled by the conventional P algorithm and the fuzzy P algorithm.When the slope position signal is input,the tracking error is reduced by 26.7% and 42.7%,26.9%and 44.5%respectively.This method effectively improves the position tracking effect and robustness of the system.