基于改进蜉蝣算法的永磁同步电机参数辨识  

Parameter Identification of Permanent Magnet SynchronousMotor Based on Mayfly Optimization Algorithm

作　　者：林德颖 LIN De-ying(Department of Intelligent Manufacturing,Fujian Forestry Vocational and Technical College,Nanping 353000,Fujian,China)

机构地区：[1]福建林业职业技术学院智能制造系,福建南平353000

出　　处：《兰州文理学院学报（自然科学版）》2024年第6期55-59,65,共6页Journal of Lanzhou University of Arts and Science(Natural Sciences)

基　　金：2021年福建省中青年教师教育科研项目(JAT210774)。

摘　　要：针对当前主流的永磁同步电机参数辨识算法存在易陷入局部最优、辨识精度差等问题,提出一种基于逆交配机制及变异交配策略的蜉蝣优化算法.在蜉蝣算法的基础上,分别在雄性蜉蝣速度更新和雌性蜉蝣速度更新阶段引入逆交配机制,并在交配阶段采用变异交配策略,增强了算法的局部开发能力.仿真结果表明,逆交配机制能有效避免算法后期容量易陷入局部最优的缺点;变异交配策略大大提高了算法的种群多样性、收敛速度和精度.Aiming at the problems of the current mainstream PMSM parameter identification algorithms,such as being easy to fall into local optimal and poor identification accuracy,a mayfly optimization algorithm based on inverse mating mechanism and variation mating strategy is proposed.On the basis of the mayfly algorithm,the inverse mating mechanism was introduced in the male and female speed renewal stages respectively,and the mutation mating strategy was adopted in the mating stage to enhance the local development ability of the algorithm.The simulation results show that the inverse mating mechanism can effectively avoid the disadvantage of local optimal capacity trap in the late stage of the algorithm.The variational mating strategy greatly improves the convergence speed and accuracy of the algorithm.

关 键 词：永磁同步电机 参数辨识 蜉蝣算法 变异交配策略 逆交配机制 

分 类 号：TM351[电气工程—电机]