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System-Level Robust Design Optimization of a Switched Reluctance Motor Drive System Considering Multiple Driving Cycles
IEEE Transactions on Energy Conversion ( IF 5.0 ) Pub Date : 2020-07-15 , DOI: 10.1109/tec.2020.3009408
Kaikai Diao , Xiaodong Sun , Gang Lei , Gerd Bramerdorfer , Youguang Guo , Jianguo Zhu

In this article, a novel system-level robust design optimization method is presented to improve the performance of switched reluctance motor (SRM) drive systems under multiple operating conditions. Based on typical driving cycles of electric vehicles (EVs), five typical driving modes of the SRM are determined. The optimization objectives in each driving mode are established. The significant parameters of the motor and controller of each driving mode are selected as the optimization variables by using the sensitivity analysis. In order to simplify the optimization process, correlation analysis is performed to determine the coherence of the objective functions of all driving modes. Then, a sequential Taguchi method is applied to find an optimal design which is less sensitive to the noise factors. To verify the effectiveness of the proposed method, an SRM drive system applied in EVs with a 12/10 SRM and angle position control method is investigated. It is found that the proposed method can significantly reduce the torque ripple and improve the comprehensive performance. Finally, a 12/10 SRM is prototyped and tested to validate the simulation results.

中文翻译:

考虑多个驱动周期的开关磁阻电机驱动系统的系统级稳健设计优化

在本文中,提出了一种新颖的系统级鲁棒设计优化方法,以改善开关磁阻电机(SRM)驱动系统在多种运行条件下的性能。基于电动汽车(EV)的典型驾驶周期,确定了SRM的五个典型驾驶模式。建立每种行驶模式下的优化目标。通过使用灵敏度分析,选择每个驱动模式的电动机和控制器的重要参数作为优化变量。为了简化优化过程,进行相关分析以确定所有驾驶模式的目标函数的一致性。然后,采用顺序Taguchi方法来找到对噪声因子不太敏感的最佳设计。为了验证所提出方法的有效性,研究了一种用于电动汽车的SRM驱动系统,该系统具有12/10 SRM和角度位置控制方法。结果表明,该方法可以显着降低转矩脉动,提高综合性能。最后,对12/10 SRM进行原型设计和测试以验证仿真结果。
更新日期:2020-07-15
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