| 徐执诏,杜钦君,赵金阳,吴育桐,马炳图.考虑MPTC的开关磁阻电机系统级多目标优化设计[J].电子测量与仪器学报,2024,38(11):182-192 |
| 考虑MPTC的开关磁阻电机系统级多目标优化设计 |
| System-level multi-objective optimization design of switchedreluctance motor considering MPTC |
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| DOI： |
| 中文关键词: 开关磁阻电机 多目标优化设计 系统级 模型预测转矩控制 田口算法 磁路分析 |
| 英文关键词:switched reluctance motor multi-objective optimization design system-level model predictive torque control taguchi algorithm magnetic circuit analysis |
| 基金项目:国家自然科学基金（62076152）、山东省科技型中小企业创新能力提升（2023TSGC0966）项目资助 |
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| Author | Institution |
| Xu Zhizhao | School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255022, China |
| Du Qinjun | School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255022, China |
| Zhao Jinyang | School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255022, China |
| Wu Yutong | School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255022, China |
| Ma Bingtu | School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255022, China |
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| 中文摘要: |
| 针对开关磁阻电机转矩脉动大以及传统优化设计中仅仅从电机本体出发，并未考虑驱动控制策略的问题，通过同时考虑电机结构参数与控制参数，提出一种考虑模型预测转矩控制的开关磁阻电机系统级多目标优化设计策略。首先，根据设计要求对SRM的结构参数进行了设计并采用MPTC作为控制方法，确定了电机结构和控制参数的初始值和变化范围；其次，建立了考虑MPTC的SRM设计模型，通过磁路分析确定了结构参数与预测模型之间的关系，以转矩脉动、平均转矩电流比和铜损为优化目标，确定了电机的优化流程，通过正交实验对结构与控制参数进行了灵敏度分析，并根据分析结果来选择决策变量，采用田口算法对决策变量进行了多目标优化；最后，为了验证该方法的有效性，进行了仿真验证，并根据优化结果试制样机，实验结果表明优化结果与常规设计相比，电机相电流峰值减小了33%，平均转矩安培比提高了33.3%，转矩脉动减少了26.3%，通过实验验证了优化方法的合理性及有效性。 |
| 英文摘要: |
| Aiming at the problems of large torque ripple in Switched Reluctance Motor and traditional optimization design that only starts from the motor without considering the drive control strategy, a system-level multi-objective optimization design strategy for SRM considering model predictive torque control is proposed by simultaneously considering the motor structure parameters and control parameters. Firstly, the structural parameters of SRM were designed according to the design requirements and MPTC was adopted as the control method to determine the initial values and variation ranges of the motor structure and control parameters; Secondly, an SRM design model considering MPTC was established, and the relationship between structural parameters and prediction models was determined through magnetic circuit analysis. The optimization process of the motor was determined with torque ripple, average torque current ratio, and copper loss as optimization objectives. Sensitivity analysis of structural and control parameters was conducted through orthogonal experiments, and decision variables were selected based on the analysis results. Taguchi algorithm was used for multi-objective optimization of decision variables; Finally, in order to verify the effectiveness of the method, simulation verification was conducted, and a prototype was trial produced based on the optimization results. The experimental results showed that compared with the conventional design, the optimization results reduced the peak motor phase current by 33%, increased the average torque ampere ratio by 33.3%, and reduced torque ripple by 26.3%. The rationality and effectiveness of the optimization method were verified through experiments. |
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