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分段磁钢永磁同步电机混合算法优化设计

Hybrid Algorithm Optimization Design of Segmented Permanent Magnet Synchronous Motor
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摘要 永磁同步电机因使用磁钢提供磁通,简化了电机转子结构从而提高了电机的运行可靠性;另外,因无需励磁电流省去了励磁损耗,从而具有高效率、高功率密度等优点。但传统永磁同步电机由于存在齿槽转矩和磁阻转矩,存在电机输出转矩脉动较大的问题。针对该问题,以提高电机平均输出转矩、降低电机输出转矩脉动和减小电机气隙磁密总谐波失真为优化多目标,建立一种分段磁钢永磁同步电机模型。选择电机转子关键结构参数为优化参数,通过田口算法优选出对优化目标影响较大的结构参数,再采用响应面法拟合优化目标曲线确定最优参数组合,实现分段磁钢永磁同步电机多目标优化,并通过仿真验证了有效性。最后试制了一台三相48/8极的样机并进行了试验,试验结果验证了电机结构及优化方法的合理性。 In permanent magnet synchronous motor,magnetic steel is used to provide magnetic flux,which simplifies the structure of the motor’s rotor and improves the reliability of the motor’s operation.In addition,because it does not require excitation current,excitation loss is saved and it has the advantages of high efficiency and high power density.However,due to the cogging torque and reluctance torque of the traditional permanent magnet synchronous motor,there is a problem that the output torque of the motor has a large pulsation.Aiming at this problem,taking improving the average output torque of the motor,reducing the output torque ripple of the motor and reducing the total harmonic distortion of the motor air gap magnetic density as the optimization multi-objective,a segmented magnet permanent magnet synchronous motor model was established.The key structural parameters of the motor rotor were taken as the optimized parameters,Taguchi algorithm was used to select the structural parameters that had a greater impact on the optimization goal,then the response surface method was used to fit the optimized target curve to determine the optimal parameter combination,so as to realize the multi-objective optimization for the segmented magnet permanent magnet synchronous motor.The validity was verified by simulation.Finally,a three-phase 48/8-pole prototype was trial-produced and experiments were carried out.The experimental results verify the rationality of the motor structure and optimization method.
作者 丁富康 史立伟 刘楷文 荆建宁 李林涛 DING Fukang;SHI Liwei;LIU Kaiwen;JING Jianning;LI Lintao(National and Local Joint Engineering Research Center for Intelligent Power Integration Technology of Electric Vehicles,Shandong University of Technology,Zibo Shandong 255049,China)
出处 《机床与液压》 北大核心 2023年第4期23-29,共7页 Machine Tool & Hydraulics
基金 国家自然科学基金面上项目(51975340,51875327)。
关键词 永磁同步电机 分段磁钢 混合算法 多目标优化 有限元分析 样机试验 Permanentmagnet synchronous motor Segmented magnet Hybrid algorithm Multi-objective optimization Finite element analysis Prototype experiment
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