基于模糊PID模型的无刷直流电机转速控制

Brushless DC Motor Speed Control System Based on Fuzzy PID Control

无刷直流电机(BLDCM)是一种多变量、强耦合、非线性、时变的复杂控制系统,采用传统的PID控制很难实现无静差控制。针对无刷直流电机(BLDCM)提出了一种基于PID模型的转速控制方案,利用无刷直流电机的电压与转矩转速方程,通过调节PID参数来实现转速控制。采用模糊原理对PID参数进行模糊化,根据电机参数的变化,对PID参数进行在线调整,取得了高精度的转速控制。仿真和实验结果表明,采用模糊PID控制方法控制无刷直流电机,能够实现响应速度快、无超调、控制精度高;且系统对干扰和参数变化具有较强的鲁棒性,动、静态性能均优于传统的PID控制和单纯的模糊控制。

Brushless DC motor speed control system is a multivariate,strong coupling,nonlinear,time-varying complex system,but adopting traditional PID control method to carry out control is difficult to achieve good control effect.A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brushless DC motor speed control system,using the voltage ,speed and torque equation of brushless DC motor ,according to the parameters of the motor,the controler adopts fuzzy theory to adjust the PID parameters,in order to obtain high-precision speed control.Results of simulation experiment show that the fuzzy PID control method compared with normal PID control and pure fuzzy control is with better control performance,non overshoot,quick velocity response,higher control precision and good rubustness,which is insensitive to the parameter chattering and many disturbances.