模糊免疫PI控制在PMSM中的应用

Application of fuzzy immune PI control in PMSM

传统的比例-积分(PI)算法在永磁同步电机(PMSM)控制上会出现控制精度低、受外界干扰稳定性不高等问题,无法满足永磁同步电机对调速系统的精确控制。根据人工免疫理论,在原有的PI控制基础上加入模糊免疫算法,利用MATLAB搭建出模糊免疫PI控制器应用于PMSM控制系统中的速度环,利用仿真软件对传统PI控制器和模糊免疫PI控制器构建的控制器进行仿真,结果表明,采用模糊免疫PI控制器具有较快的响应速度,超调量相对较小,当控制器在受到外界干扰时,能够做出快速反馈并恢复稳定状态,其控制系统的性能优于常规PI控制。

Traditional PI control of permanent magnet synchronous motor(PMSM)has some problems,such as low control accuracy and low stability due to external interference,which cannot meet the precise control requirements of permanent magnet synchronous motor on speed regulation system.According to the artificial immune theory,a fuzzy immune algorithm is added to the original PI control,and the speed loop of the fuzzy immune PI controller applied to PMSM control system is built by MATLAB.The simulation software is used to simulate the controller constructed by the traditional PI controller and fuzzy immune PI controller.The final result shows that the fuzzy immune PI controller has a fast response speed and relatively small overshoot.When the controller is disturbed by the outside world,it can make quick feedback and return to a stable state,and its control system performance is better than the conventional PI controller.