基于麻雀搜索算法的PMSM智能控制器设计  

Design of Intelligent Controller of PMSM Based on Sparrow Search Algorithm

作　　者：肖海飞 曾国辉[1] 杜涛 黄勃[1] XIAO Hai-fei;ZENG Guo-hui;DU Tao;HUANG Bo(Shanghai University of Engineering Science,Shanghai 201620,China)

机构地区：[1]上海工程技术大学,电子电气工程学院,上海201620

出　　处：《电力电子技术》2022年第1期5-8,34,共5页Power Electronics

基　　金：国家自然科学基金(61603242)。

摘　　要：为了提高永磁同步电机(PMSM)伺服系统的控制性能,使其适应复杂运行工况,提出一种变论域模糊比例积分(PI)控制策略,并利用麻雀搜索算法(SSA)实时修正伸缩因子。该算法利用自然界中麻雀发现者与加入者不同分工的捕食机制,将待优化的参数看作麻雀搜索个体所处的位置,智能搜寻最优伸缩因子,在线调整模糊控制的论域。将该控制策略应用到PMSM矢量控制系统转速外环,并搭建电机控制系统实物平台,验证了采用SSA优化的变论域模糊PI控制,具有动态响应快、超调量小、调节时间短和抗干扰能力强的优势。A variable domain fuzzy proportional integral(PI)control strategy is proposed,in order to improve the control performance of the permanent magnet synchronous motor(PMSM)servo system to adapt to the complex working conditions,and the sparrow search algorithm(SSA)is used to modify the expansion factor in real time.The algorithm uses the predation mechanism of the different division of labor between sparrow discoverers and joiners in nature,and regards the parameters to be optimized as the location of the sparrow search individual,intelligently searches for the optimal expansion factor,and adjusts the domain of fuzzy control online.The control strategy is applied to the outer speed loop of the vector control system of the PMSM,and the physical platform of the motor control system is built.It verifies that the variable universe fuzzy PI control optimized by the SSA has a fast dynamic response,small super adjustment volume,short adjustment time and strong anti-interference ability.

关 键 词：永磁同步电机 麻雀搜索算法 伸缩因子 

分 类 号：TM341[电气工程—电机]