关键词: 内置式永磁同步发电机, 响应面法, 多目标粒子群优化, 优化设计

Abstract: To improve the efficiency of interior permanent magnet synchronous generator ( IPMSG) and reduce the cogging torque, an optimal design strategy based on the response surface method ( RSM) and multi-objective particle swarm optimization ( MOPSO ) was introduced. The generator calculation model was established and the optimization double objective was established. Three variables, namely polar arc coefficient, stator notch width and the bottom of the stator
groove were taken as optimization parameters through sensitivity analysis. Box-Behnken design ( BBD) was used to design and obtain 17 groups of sample data. Regression equations of efficiency and cogging torque were obtained according to RSM, and reliability of the optimization model was tested according to variance analysis. Aiming at improving efficiency and reducing cogging torque, the combination of RSM and MOPSO was used to optimize the parameter combination. The simulation results showed that the performance of the generator was obviously improved, which verifies the feasibility of the optimization method.

Key words: interior permanent magnet synchronous generator ( IPMSG ), response surface method ( RSM ), multiobjective particle swarm optimization( MOPSO), optimal design