基于天牛须算法的新型开关磁阻电机优化研究  被引量:2

Research on Optimization of New Type of Switched Reluctance Motor Based on Beetle Antennae Search Algorithm

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作  者:刘爱民[1] 刘权 娄家川 于秀孺 LIU Aimin;LIU Quan;LOU Jiachuan;YU Xiuru(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China)

机构地区:[1]沈阳工业大学电气工程学院,沈阳110870

出  处:《微特电机》2022年第4期1-6,11,共7页Small & Special Electrical Machines

摘  要:采用解析法建立新型线圈辅助励磁开关磁阻电机非线性模型,并对电机关键结构参数进行灵敏度分析。将天牛须算法应用于电机多目标全局搜索,求解性能最优的结构参数。为验证天牛须算法的有效性和可行性,同时也采用粒子群算法对电机进行多目标优化,分别建立两种算法优化后的电机三维有限元模型。两种优化结果对比分析表明,天牛须算法优化得到的电机转矩脉动更小,效率更高。The analytical method was used to establish the coil assisted stator excitation switched reluctance motor nonlinear model,and the sensitivity analysis of the key structural parameters of the motor was carried out.The beetle antennae search algorithm was applied to the multi-objective global search of the motor to solve the structural parameters with the best performance.In order to verify the effectiveness and feasibility of the beard algorithm,the particle swarm algorithm was also used to optimize the motor with multiple objectives,and the three-dimensional finite element model of the motor optimized by the two algorithms was established.The comparative analysis of the two optimization results shows that the motor torque ripple obtained by the optimization of the beetle antennae search algorithm is smaller and the efficiency is higher.

关 键 词:开关磁阻电机 转矩脉动 非线性建模 灵敏度分析 天牛须算法 

分 类 号:TM352[电气工程—电机]

 

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