基于改进粒子群算法的永磁同步电机PID控制器

PID Controller of Permanent Magnet Synchronous Motor Based on Improved Particle Swarm Optimization Algorithm

为提高永磁同步电机系统的控制精度,提出一种使用改进粒子群算法优化的永磁同步电机PID控制器。首先建立永磁同步电机数学模型,然后采用改进粒子群算法对PID控制器参数进行优化,实现永磁同步电机参数在线辨识,最后采用仿真实验对其性能进行测试。仿真结果表明,相对于传统的永磁同步电机PID控制器,本文方法优化的永磁同步电机PID控制器改善了系统响应性能,能够使永磁同步电机获得良好的稳定性、鲁棒性和动态性能。

In order to improve the control precision of the permanent magnet synchronous motor system,this paper puts forward a permanent magnet synchronous motor PID controller based on improved particle swarm optimization algorithm. Firstly,the mathematical model of permanent magnet synchronous motor is established,and then the improved particle swarm optimization algorithm is used to optimize the parameters of PID controller and to realize the online identification of permanent magnet synchronous motor parameters,finally the simulation experiment is used to test its performance. The simulation results show that compared with the traditional PID controller,the proposed PID controller can improve the system response performance,and can obtain a good stability,robustness and dynamic performance for the permanent magnet synchronous motor.