基于磁场解析模型与遗传算法的轴向磁通永磁电机多目标优化设计

针对基于有限元法(FEM)的常规优化方法存在计算量大、耗时长的问题,提出一种磁场解析模型与遗传算法相结合的轴向磁通永磁电机(AFPMM)多目标优化设计方法,该方法能够在保证一定计算精度的前提下快速实现电机的优化设计.首先,将AFPMM从复杂的三维模型等效为二维模型,通过子域法得到了电机的磁场解析模型,利用麦克斯韦张量法...

Multi objective optimization design of axial flux permanent magnet motor based on magnetic field analytical model and genetic algorithm

Aiming at the problems of large amount of calculation and long time consuming in the conventional optimization method based on finite element method(FEM),a multi-objective optimization design method of axial flux permanent magnet motor(AFPMM)was proposed,which combines the magnetic field analytical model and genetic algorithm.Optimization design of motor was realized on the premise of certain calculation accuracy.Firstly,the complicated three-dimensional model of AFPMM is equivalent to two-dimensional model.The magnetic field analytical model of the motor was established by sub-domain method,and the electromagnetic torque was calculated by Maxwell tensor method.Then,the accuracy of the analytical model was verified by comparing the analytical results with the FEM results.Finally,taking the average electromagnetic torque and the effective cost of the motor as the optimization objectives,the analytical model and genetic algorithm were combined to optimize the AFPMM globally to obtain the design scheme with better electromagnetic torque and effective cost.The results show that the average electromagnetic torque of the optimized AFPMM increases by 11.91%and the effective cost decreases by 9.81%,which verifies effectiveness and practicability of the proposed optimization design method.