Multiobjective optimization of low speed high torque direct drive PMSM based on hybrid particle swarm optimization
                                                            GUO Xin, ZHANG Bingyi, FENG Guihong
                      (School of Electrical Engineering, Shenyang University Of Technology, Shenyang 110870, China)

Abstract: Aiming at optimal designs of low speed, large torque, direct drive permanent magnet synchronous motor (PMSM) with submersible pump, in order to realize the low cogging torque, low torque ripple and low iron loss and the optimization of sine degree of air gap flux density, a multiobjective optimization finite element design method of interior PMSM based on hybrid particle swarm algorithm (HPSO) was proposed. On the basis of establishing the finite element analysis model, the permanent magnet size, the permanent magnet slot size, the minimum air gap length, the uneven air gap eccentricity were taken as variables, under noload and load conditions cogging torque, torque ripple, iron loss, efficiency, fundamental amplitude of air gap flux density and air gap flux density sinusoidal as optimization objectives, a multiobjective optimization function based on weight coefficient was proposed. The results show that the method based on hybrid particle swarm optimization algorithm has the advantages of strong searching ability and fast convergence speed, the obtained motor design results are in good agreement with the design goals, finite element simulation prove the effectiveness and feasibility of the proposed method.

Key words: permanent magnet synchronous motor（PMSM）; hybrid prticle swarm optimization(HPSO); multiobjective optimization; finite element analysis