机械科学与技术2025，Vol.44Issue(4)：592-600,9.DOI:10.13433/j.cnki.1003-8728.20230167
运用GASVM-NSGA-Ⅱ的永磁辅助开关磁阻电机多目标优化方法
Multi-objective Optimization Method for Permanent Magnet-assisted Switched Reluctance Motor with GASVM-NSGA-Ⅱ
摘要
Abstract
To improve the performance(low torque ripple and high average torque)of the permanent magnet assisted switched reluctance motor(PMa-SRM),a hybrid multi-objective optimization method is proposed,which combines the genetic algorithm optimizes support vector machine(GASVM)with non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ).Firstly,the PMa-SRM topology is introduced.Secondly,the experimental sample data is established by the Taguchi method,and the effects of the turn on angle,the turn off angle and the pole shoe angle on the PMa-SRM torque ripple and the average torque are analyzed by variance analysis.Thirdly,the torque ripple and the average torque predictive models between the turn on angle,the turn off angle and the pole shoe angle are established by the GASVM.Next,the NSGA-Ⅱ is used for global optimization of the predictive models,and the optimal design is selected from the Pareto front which is generated by NSGA-Ⅱ.The output performance of the optimized front and rear motors,and the prototype torque and vibration experiment confirm the effectiveness of the optimization design method with GASVM-NSGA-Ⅱ.关键词
永磁辅助开关磁阻电机/转矩脉动/多目标优化/遗传算法优化的支持向量机/NSGA-ⅡKey words
PMa-SRM/torque ripple/multi-objective optimization/GASVM/NSAG-Ⅱ分类
信息技术与安全科学引用本文复制引用
黄朝志,原红卫,耿永民..运用GASVM-NSGA-Ⅱ的永磁辅助开关磁阻电机多目标优化方法[J].机械科学与技术,2025,44(4):592-600,9.基金项目
国家自然科学基金项目(52167005)与江西省教育厅项目(GJJ200826) （52167005）
