关键词: 直接解析法, 麦克斯韦应力张量法, 遗传算法, 齿槽转矩, 极弧系数

Abstract: A genetic optimization algorithm based on analytic algorithm was proposed to optimize the cogging torque. Different motor parameters could be used as optimization variables to realize quantitative analysis and optimization of cogging torque, and the optimal value of motor parameters could be obtained. On the basis of the motor model established by direct analytic method in the table-mounted permanent magnet motor, by using Maxwell's stress tensor method, the expression of cogging torque was established, the polar arc coefficient and the width of the stator slot were chosen as the optimization variables, the amplitude of cogging torque was used as the optimization target, and genetic algorithm was used to optimize the cogging torque of the motor. The optimal parameter combination was obtained. After comparing the optimized cogging torque with the cogging torque of the original motor model, the results showed that the cogging torque of the motor was significantly reduced after optimization. The conclusion showed that it was feasible to get the optimal solution of motor parameters by using genetic algorithm to optimize motor performance.

Key words: direct analytic method, maxwell stress tensor method, genetic algorithm, cogging torque, polar arc coefficient