增强改进麻雀算法的永磁同步电机多参数辨识  

Enhancing Improved Sparrow Algorithm for Multi-Parameter Identification of Permanent Magnet Synchronous Motor

作　　者：陈一涵 曾成碧[1] 苗虹[1] 朱奇昊 黄霞 CHEN Yihan;ZENG Chengbi;MIAO Hong;ZHU Qihao;HUANG Xia(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;State Grid Deyang Electric Power Supply Company,Deyang 618000,China)

机构地区：[1]四川大学电气工程学院,成都610065 [2]国网德阳供电公司,德阳618000

出　　处：《组合机床与自动化加工技术》2024年第11期177-182,共6页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：四川省重点项目(2023YFG0198);成都市技术创新研发项目(2022-YF05-00081-SN)。

摘　　要：针对永磁同步电机多参数辨识收敛速度不够快、全局搜索能力较差及精度不够高的问题,提出一种增强改进麻雀搜索算法的永磁同步电机多参数辨识方法。首先,利用混沌映射初始化种群,改善搜索空间;运用自适应t分布更新加入者位置,避免陷入局部搜索空间;采用反向学习策略,提高种群中所有个体的收敛速度;通过贪婪规则,遴选全局最优。该算法从种群初始化、搜索空间、搜索算法、最优点的选择等增强过程提高算法跳出局部最优的能力,提高收敛速度及精度。选取典型标准测试函数对算法进行性能评估,在收敛速度、精度、全局寻优能力等方面效果都更佳。通过仿真及实验验证,与一般麻雀搜索算法、改进麻雀搜索算法、遗传算法和粒子群优化算法相比,提出的增强麻雀算法在永磁同步电机的多参数辨识中辨识速度更快,收敛精度更高。In response to the issues of insufficient convergence speed,poor global searching ability and insufficient accuracy in multi parameter identification of permanent magnet synchronous motor,a multi parameter identification method of permanent magnet synchronous motor based on enhancing improved sparrow search algorithm is proposed.Firstly,initialize the population using chaotic mapping to improve the search space;Using adaptive t-distribution to update the position of enrollees and avoid getting stuck in local search space;Adopting a reverse learning strategy to improve the convergence speed of all individuals in the population;Select the global optimal through greedy rules.This algorithm enhances the ability of the algorithm to jump out of local optima,improve convergence speed and accuracy by enhancing processes such as population initialization,search space,search algorithm,and optimal selection.Selecting typical standard testing functions for performance evaluation of the algorithm,the results reveal better convergence speed,accuracy,and global optimization ability.Through verification of simulation and experiment,compared with the general sparrow search algorithm,the improved sparrow search algorithm,the genetic algorithm and the particle swarm optimization,the proposed enhancing improved sparrow search algorithm has faster identification speed and higher convergence accuracy in multi parameter identification of permanent magnet synchronous motor.

关 键 词：永磁同步电机 参数辨识 混沌映射 自适应分布 麻雀搜索算法 

分 类 号：TH165[机械工程—机械制造及自动化] TG659[金属学及工艺—金属切削加工及机床]