基于改进麻雀搜索算法的电动机铸铜转子槽型结构优化  

Cast copper rotor slot structure optimization of motor based on improved sparrow search algorithm

作　　者：杜江[1,2] 郭世炜 DU Jiang;GUO Shiwei(Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province(School of Electrical Engineering,Hebei University of Technology),Tianjin 300130,China;State Key Laboratory of Reliability and Intelligence of Electrical Equipment(School of Electrical Engineering,Hebei University of Technology),Tianjin 300130,China)

机构地区：[1]河北省电磁场与电器可靠性重点实验室(河北工业大学电气工程学院),天津300130 [2]省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学电气工程学院),天津300130

出　　处：《安徽大学学报（自然科学版）》2022年第6期35-41,共7页Journal of Anhui University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(52007047);天津市自然科学基金重点项目(19JCZDJC32100);河北省自然科学基金资助项目(E2018202282)

摘　　要：铸铜转子能有效提高感应电动机的效率,但导致感应电动机启动转矩降低、启动电流升高.针对该问题,在麻雀搜索算法(sparrow search algorithm,简称SSA)基础上,结合反向学习策略和自适应变异提出改进的麻雀搜索算法(improved sparrow search algorithm,简称ISSA).使用LASSO(least absolute shrinkage and selection operator)模型筛选出对电动机启动性能影响较大的转子槽型结构参数,将其作为优化变量,以降低计算时间.实例优化结果表明:相对于灰狼优化算法(grey wolf optimizer algorithm,简称GWOA)和鲸鱼优化算法(whale optimization algorithm,简称WOA),ISSA优化后的转子槽型结构参数最接近循环遍历法的转子槽型结构参数,ISSA优化后的电动机综合启动性能最优;ISSA优化后的电动机启动转矩倍数比优化前增加了0.4091,启动电流倍数比优化前降低了0.0706.Cast copper rotor can effectively improve the efficiency of induction motor,but lead to lower starting torque and higher starting current of induction motor.To solve this problem,the improved sparrow search algorithm(ISSA)was proposed based on sparrow search algorithm(SSA),which combined opposition-based learning strategy and adaptive variation strategy.The rotor slot structure parameters that had a great influence on motor starting performance were selected by least absolute shrinkage and selection operator(LASSO)model as optimization variables to reduce calculation time.Example optimization results showed that compared with grey wolf optimizer algorithm(GWOA)and whale optimization algorithm(WOA),the rotor slot structure parameters optimized by ISSA were closest to those of circular traversal method.The overall starting performance of motor optimized by ISSA was the best.The starting torque multiple after ISSA optimization increased by 0.4091 and the starting current multiple decreased by 0.0706 compared with that before optimization.

关 键 词：优化设计 感应电动机 铸铜转子 LASSO模型 改进的麻雀搜索算法 

分 类 号：TM343[电气工程—电机] TP18[自动化与计算机技术—控制理论与控制工程]