考虑运行工况的模块化双永磁游标电机多工作点优化设计

Multi-Working Point Optimization of Modular Double Permanent-Magnet Vernier Motor Considering Operation Condition

双永磁游标电机基于双向磁场调制效应原理运行,在转矩密度提高的同时,存在电机损耗较大的问题。采用传统以电机额定点为优化对象的优化方法,仅能提升额定工作点的性能,难以保证电机实际运行工况下多个工作点高效运行的需求。为此,该文提出考虑运行工况的电机多工作点优化方法,设计了低损耗模块化双永磁游标电机。采用K聚类法精确提炼代表工作点及其权重,为了使优化过程更加高效化,采用灵敏度分析法将变量分区定性优化减少设计空间,结合响应面法与具有高收敛性的基于变异算子的多目标差分进化算法确定高敏参数的全局最优解,从而实现运行工况下高效准确的电机参数优化。仿真与实验结果验证了设计方法的有效性。

The double permanent-magnet vernier motor operates based on the bi-directional magnetic field modulation effect principle.With the improvement of torque density,there is a problem of significant motor loss.By taking the rated point as the optimization object,the traditional optimization method can only improve the performance of the rated operating point,but has difficulty in efficiently operating multiple working points under the actual operation condition of the motor.Therefore,this paper designs a low-loss modular dual permanent-magnet vernier motor and proposes a multi-operating points optimization method considering operation condition.The representative working points and their weights are extracted using the K-clustering method.To make the optimization procedure more efficient,the sensitivity analysis method is used to qualitatively optimize the variables to reduce the design space.The optimal global solution of susceptible parameters is determined by combining the response surface method and high-convergence multi-objective differential evolution with a ranking-based mutation operator(MODE-RMO).And then,an efficient and accurate motor parameter optimization under operation condition is realized.The proposed method is verified by simulation and experiment.