基于PSO的PMSM模糊PI速度控制器设计

Design of Fuzzy PI Speed Controller for PMSM Based on PSO

为提高永磁同步电机伺服系统的控制性能,提出了一种基于自适应粒子群算法的模糊PI速度控制器的参数优化的新型方法。在模糊PI控制器中,PI参数的优化是通过自适应粒子群算法对模糊隶属函数的优化来实现的。首先引入多维变量构成新的粒子群搜索空间的粒子,其次对粒子群进行自适应粒子群算法来实现模糊隶属函数的优化。仿真结果表明,采用提出的优化方法构成的控制系统能够实现更好的动态响应。

In order to improve the control performance of permanent magnet synchronous motor（PMSM）servo system,a novel optimization method of the fuzzy PI speed controller parameters based on adaptive particle swarm optimization（APSO） algorithm is presented.In the fuzzy PI controller,the optimization of PI coefficients is realized through optimizing the membership function of fuzzy logic controller using APSO.First,the particles of the PSO search space are constituted by introducing the novel multidimensional variables,and then,the optimization of fuzzy membership function is achieved by applying an APSO algorithm to the particle swarm.The simulation results show that the proposed method can realize better dynamic response of the PMSM servo system than the previous method.