伸缩因子优化交流伺服SVPWM控制算法研究

Study on Optimization of AC-servo SVPWM Control Based on Flex Factors

永磁同步电机具有转矩系数高、转子惯量小以及响应速度快等特点,而传统PID控制策略不能跟随系统参数的变化而自动整定控制参数。为了解决以上问题,通过分析模糊理论,综合伸缩因子改变论域的思想,提出了一种变论域模糊PID控制,最后使用Matlab工具组建了控制算法仿真模型,对比了传统PID、普通模糊PID、变论域模糊PID矢量控制下的仿真成效。仿真结果表明:变论域模糊PID自整定控制优于普通模糊PID控制,使电机系统转速实现无超调,响应更加迅速,扰动恢复时间大幅缩短。该方法提高了永磁交流伺服系统的控制精度,具有良好的动静态性能。

Permanent magnetism synchronous machine has characteristics of high torque coefficient, low inertia and quick response. The traditional PID control strategy cannot adjust control parameters automatically according to the change of system parameters. To solve above problems, analyzing the fuzzy control and the idea of changing universe with flex factor, a variable universe fuzzy PID control strategy of permanent magnet synchronous motor is proposed. Finally, the control algorithm model is formed with Matlab tools. Control effects are compared based on the traditional PID, fuzzy PID and variable universe fuzzy PID control. The simulation results show that the variable universe fuzzy PID control makes the rotation speed response more quickly, no overshoot and the disturbance recovery time shortened largely. The method improves the control precision of the permanent magnet ac servo system and has a good dynamic and static performance.