基于多目标粒子群算法的异步起动永磁同步电机优化设计  

Optimal Design of Asynchronous Starting Permanent Magnet Synchronous Motor Based on Multi-Objective Particle Swarm Optimization

作　　者：李伟起 林荣文[1] 陶涛 LI Weiqi;LIN Rongwen;TAO Tao(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学电气工程与自动化学院,福建福州350108

出　　处：《电机与控制应用》2020年第11期56-61,共6页Electric machines & control application

摘　　要：为了获得效率高、起动性能好、运行稳定的电机,引入改进的多目标粒子群算法对1台三相四极的异步起动的永磁同步电机(PMSM)进行优化。基于PMSM结构特点,建立了数学模型,选择铁心长度、定子每槽导体数、定子槽型尺寸和永磁体的尺寸为优化变量,效率、功率因数、起动电流倍数、起动转矩倍数和失步转矩倍数为目标。利用MATLAB编写电磁计算程序,将改进的多目标粒子群算法与电磁计算程序相结合,优化电机的效率、功率因数和起动性能。通过对优化结果的分析,证明在满足其他各项性能要求的前提下,优化取得了预期的效果。验证了该算法的有效性。In order to obtain a motor with high efficiency,good starting performance and stable operation,an improved multi-objective particle swarm algorithm is introduced to optimize a three-phase four-pole asynchronous starting permanent magnet synchronous motor(PMSM).Based on the structural characteristics of the PMSM,a mathematical model is established.The length of the core,the number of conductors per slot of the stator,the size of the stator slot and the size of the permanent magnet are selected as optimization variables,and the efficiency,power factor,starting current multiple,starting torque multiple and the out-of-step torque multiple are the optimization targets.An electromagnetic calculation program is written with MATLAB.By combining the improved multi-objective particle swarm algorithm with electromagnetic calculation program,the efficiency,power factor and starting performance of the motor are optimized.Through the analysis of the optimization results,it is shown that the optimization has achieved the expected results under the premise of meeting the requirements of other performances.The effectiveness of the algorithm is verified.

关 键 词：异步起动永磁同步电机 多目标粒子群算法 优化设计 多目标优化 

分 类 号：TM351[电气工程—电机]