摘要
传统PI优化方法难以满足永磁同步电机(PMSM)在高速、高精度及负载变化中的应用,因此以蜜獾算法(HBA)为基础,结合帐篷映射与正态云设计了改进HBA来优化PI参数,从而提高PMSM转速环及电流环控制精度和速度。利用帐篷映射在算法初始化阶段提高分布均匀性,加强算法前期的全局开发能力;利用正态云生成第二组蜜獾并在同代中更新最佳位置,强化局部最优的跳出能力。寻优过程中动态改变正态云模型以改善局部搜索能力。利用MATLAB/Simulink进行仿真对比,改进后的HBA在调节时间、稳定性等方面有一定优势,是一种可以用于PMSM转速控制系统的新算法。
The traditional PI optimization method is difficult to meet the application of permanent magnet synchronous motor(PMSM)in high-speed,high-precision and load change.Therefore,based on the honey badger algorithm(HBA),combined with the tent map and normal cloud,an improved HBA is designed to optimize the PI parameters,so as to improve the control accuracy and speed of the PMSM speed loop and current loop control.The tent map is used to improve the distribution uniformity in the initialization stage of the algorithm and strengthen the global development ability in the early stage of the algorithm;The second group of honey badgers is generated by using the normal cloud to update the best position in the same generation,and strengthen the ability of jumping out of the local optimization.During the optimization process,the normal cloud model is dynamically changed to improve the local search ability.Using MATLAB/Simulink for simulation comparison,the improved HBA has certain advantages in adjustment time,stability and so on.It is a new algorithm that can be used in PMSM speed control system.
作者
陈欣
胡涛
蒋全
CHEN Xin;HU Tao;JIANG Quan(Shanghai Electric Tool Research Institute(Group)Co.,Ltd.,Shanghai 200233,China;School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《电机与控制应用》
2022年第8期28-33,92,共7页
Electric machines & control application
关键词
永磁同步电机
蜜獾算法
正态云
PI控制
permanent magnet synchronous motor(PMSM)
honey badger algorithm
normal cloud
PI control
