摘要
针对潜水电泵用低速大转矩直驱永磁同步电机的优化设计问题,为了同时实现其低齿槽转矩、低转矩脉动和低铁损耗,以及气隙磁密波形正弦度的优化,提出了基于混合粒子群算法的内置式永磁同步电机多目标优化有限元设计方法。在建立有限元分析模型的基础上,以永磁体尺寸、永磁体槽槽型尺寸、最小气隙长度、不均匀气隙偏心距为变量,以空载及负载情况下的齿槽转矩、转矩脉动、铁损耗、效率、气隙磁密基波幅值、气隙磁密波形正弦度作为优化目标,提出了基于权重系数的多目标优化函数。研究结果表明:基于混合粒子群优化算法的有限元设计方法具有搜索能力强、收敛速度快的优点,得到的电机设计结果与设计目标具有良好的一致性,有限元仿真证明了所提方法的有效性和可行性。
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.
作者
郭鑫
张炳义
冯桂宏
GUO Xin;ZHANG Bing-yi;FENG Gui-hong(School of Electrical Engineering,Shenyang University Of Technology,Shenyang 110870,China)
出处
《机电工程》
CAS
北大核心
2018年第11期1214-1219,共6页
Journal of Mechanical & Electrical Engineering
关键词
永磁同步电机
混合粒子群算法
多目标优化
有限元分析
permanent magnet synchronous motor（PMSM）
hybrid prticle swarm optimization（HPSO）
multi-objective optimization
finite element analysis
