基于SOA的PMSM驱动系统PID参数优化研究

摘要

针对永磁同步电机驱动系统所具有的强耦合和非线性特点,对电机d-q轴模型进行分析,推导出矢量控制下永磁同步电机状态方程及传递函数.为了解决传统PID控制方法中参数确定困难的缺点,本文利用人群搜索优化算法(seeker optimization algorithm,缩写SOA)对PID参数进行优化,并提出了基于人群搜索算法优化的PID永磁同步电机控制方法.仿真结果表明,与遗传算法(Genetic Algorithm,缩写GA)、粒子群算法(ParticleSwarm Optimization,缩写PSO)相比,人群搜索算法对PID参数的优化能力更好,且最先达到稳定状态.%Aiming at the characteristics of strong coupling and non-linearity of the permanent magnet synchronous motor drive system,the d-q axis model of the motor is analyzed,and the state equation and the transfer function of the permanent magnet synchronous motor under vector control are deduced.In order to overcome the shortcomings of being difficult in parameter determination with the traditional PID control method,the seeker optimization algorithm is chosen to optimize the PID parameters.And a control method of the PID optimized by the seeker optimization algorithm for permanent magnet synchronous motor is proposed.The simulation results show that the seeker optimization algorithm has better ability to optimize the PID parameters and reaches the steady state firstly when compared with the genetic algorithm and particle swarm optimization.