永磁同步电机PID参数优化研究

研究永磁同步电机优化控制问题,永磁同步电机具有强耦合和强非线性特性的特点,应用环境一般较为复杂且常常存在各种干扰使电机系统稳定性差,针对传统PID控制方式很难满足电机系统要求,控制效果差,超调大。为提高控制精度,提出一种改进的PID控制方法。将PID控制器的参数作为粒子群中的粒子,系统控制精度作为粒子的寻优目标,通过粒子搜索找到最优PID控制参数,从而对电机进行精确的控制。仿真结果表明,粒子群算法的PID控制器提高了永磁同步电机系统控制精度,为永磁同步电机优化设计提供了科学依据。

Research on Parameters Optimization of PMSM Speed Servo System

Research about PID parameters optimization problem.Motor speed control system is a complex system,changes with time,and has the characteristics of nonlinear and strong coupling,therefore,the traditional PID parameters optimization method can not obtain the optimal PID parameters,and the system control effect is poor.In order to improve the control precision,the paper put forward a PID parameters optimization method based on particle swarm algorithm.PID controller parameters were taken as the particles while the system control accuracy as particle swarm optimum target.The optimal PID control parameters were found by through particle search,thus improved the performances of motor speed control system.Simulation results show that PID controller based on particle swarm algorithm improves the system control accuracy and adjusting speed,reduces the overshoots,and has a good application prospect.