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作 者:黄朝志 李思颖 刘小波 孙燕文 HUANG Chao-zhi;LI Si-ying;LIU Xiao-bo;SUN Yan-wen(School of Electrical Engineering and Automation,Jiangxi University of Science and Technology,Ganzhou 341000,China)
机构地区:[1]江西理工大学电气工程与自动化学院,赣州341000
出 处:《科学技术与工程》2025年第3期1065-1074,共10页Science Technology and Engineering
基 金:国家自然科学基金(52167005);江西省自然科学基金(20232BAB204063)。
摘 要:为提高永磁辅助同步磁阻电机(permanent magnet-assisted synchronous reluctance motor, PMa-SynRM)的输出性能,提出了基于核极限学习机(kernel extreme learning machine, KELM)和快速非支配排序遗传算法(nondominated sorting genetic algorithm, NSGA-Ⅱ)相结合的外转子PMa-SynRM多目标优化设计方法。首先,对PMa-SynRM转子磁障进行初步设计并分析PMa-SynRM工作原理。其次,通过综合敏感性分析评估每个设计变量对优化目标的影响,选取主要优化参数。然后,以高输出转矩、高效率和低转矩脉动为优化目标,建立基于KELM的代理模型。最后,采用NSGA-Ⅱ进行全局寻优,从NSGA-Ⅱ生成的Pareto前沿中选择最优解,并通过有限元分析进行验证。仿真结果表明:优化后的电机较初始电机平均转矩提高了15.83%,转矩脉动降低了60.27%,且优化后电机效率较初始电机也有所提高,验证了本文优化设计方法的有效性。In order to improve the output performance of permanent magnet assisted synchronous reluctance motor(PMa-Syn-RM),a multi-objective optimization design method for external rotor PMa-SynRM based on kernel extreme learning machine(KELM)and fast non-dominated sorting genetic algorithm(NSGA-Ⅱ)was proposed.Firstly,the preliminary design of the PMa-SynRM rotor magnetic barrier was carried out and the working principle of the PMa-SynRM was analyzed.Secondly,the influence of each design variable on the optimization goal was evaluated through comprehensive sensitivity analysis,and the main optimization pa-rameters were selected.Thirdly,with high output torque,high efficiency and low torque ripple as the optimization goals,a surrogate model based on KELM was established.Finally,NSGA-Ⅱ was used for global optimization,and the optimal solution was selected from the Pareto frontier generated by NSGA-Ⅱ,which was verified by finite element analysis.The simulation results show that the average torque of the optimized motor is increased by 15.83%,the torque ripple is reduced by 60.27%,and the efficiency of the optimized motor is also improved compared with the initial motor,which verifies the effectiveness of the optimized design method proposed in this paper.
关 键 词:永磁辅助同步磁阻电机 KELM 多目标优化 NSGA-Ⅱ
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