基于GA-PSA的纺织用永磁同步电动机优化设计  

Optimal Design of Permanent Magnet Synchronous Motor Used for Weaving Based on Genetic Algorithm and Pattern Search Algorithm

作　　者：张永平[1] 段小丽[1] 郭英桂[1] 刘慧玲[1] ZHANG Yong-ping;DUAN Xiao-li;GUO Ying-gui;LIU Hui-ling(Jinzhong University,Jinzhong 030600,China)

机构地区：[1]晋中学院,晋中030600

出　　处：《微特电机》2018年第11期79-81,86,共4页Small & Special Electrical Machines

基　　金：山西省应用基础研究计划项目(201701D221132);晋中学院质量工程建设资助项目(Zl2013td02)

摘　　要：永磁同步电动机广泛应用于纺织机械设备中。针对气流纺机配套使用内置式永磁同步电动机,应用遗传算法-模式搜索算法对失步转矩和效率进行优化设计。优化前期,应用遗传算法,优化过程中采取保留种群中最佳个体的策略,在优化后期应用模式搜索算法的局部寻优方法,解决遗传算法在优化后期易陷入最优解附近的局部极值点问题,提高收敛速度和寻优效率。优化结果表明,遗传算法-模式搜索算法与传统遗传算法相比能够获得更高的优化目标值。优化后的样机工业试运行表明了该方案的可行性。Permanent magnet synchronous motor is widely used in textile machinery.Genetic algorithm and pattern search algorithm were used to optimize the pull-out torque and efficiency of interior permanent magnet synchronous motor used in airflow spinning machine.Genetic algorithm was applied in the early stage of optimization,The strategy adopted in the optimization process was to preserve the best individuals in the population.In the later stage by using the pattern search method,solving the local extreme point problem that genetic algorithm is easy to fall into the optimal solution in the later stage of optimization,so as to improve the convergence speed and the optimization efficiency.The optimization results showed that genetic algorithm and pattern search algorithm can get higher optimization target value compared with traditional genetic algorithm.The industrial trial run of the optimized prototype showed that the feasibility of the optimized design scheme.

关 键 词：遗传算法 模式搜索算法 失步转矩 效率 优化设计 永磁同步电动机 

分 类 号：TM341[电气工程—电机] TM351