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短初级永磁同步直线电机推力波动优化

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带辅助极式短初级永磁同步电机理论上可通过优化电机结构,实现辅助极定位力与电枢定位力相互抵消,达到保持高推力的同时降低推力波动的目的.但永磁同步直线电机(permanent magnet linear synchronous motor,PMLSM)待优化参数多,其电磁非线性的特征增加了优化的难度和工作量.为提升优化效率,课题组提出了一种帕累托(Pareto)蚁群优化算法(ant colony optimization,ACO).Pareto ACO采用可变信息素挥发系数替代传统的固定挥发系数,使全局搜索速度与局部搜索速度更快;通过与同类多目标算法的3 种测试函数处理结果作比较,得出Pareto ACO的性能更优越;利用Pareto ACO对带辅助极式短初级永磁同步直线电机槽口宽度、辅助极宽度和永磁体宽度等结构尺寸进行多目标优化.优化结果表明该算法可有效节省永磁体材料,降低推力波动,实验验证了该算法的有效性.
Optimization of Thrust Fluctuations in Short Primary Permanent Magnet Synchronous Linear Motor
The short primary permanent magnet synchronous motor with auxiliary pole type could theoretically achieve the mutual offset of auxiliary pole detent force and armature detent force by optimizing the motor structure,so as to achieve the purpose of reducing the high thrust fluctuation while maintaining high thrust.However,the characteristics of permanent magnet synchronous linear motor(PMLSM)with many parameters to be optimized and electromagnetic nonlinearity increased the difficulty and workload of optimization design.In order to enhance the optimization and design efficiency,a novel Pareto ant colony optimization algorithm(Pareto ACO)was proposed.The variable pheromone volatility coefficient was adopted instead of the traditional fixed volatility coefficients,which resulted in faster global exploration and local search.By compared the results with similar multi-objective algorithms regarding the three test functions,the performance of Pareto ACO was superior.The Pareto ACO algorithm was used to carry out multi-objective optimization of the structural dimensions of slots,auxiliary poles,and permanent magnets for short primary permanent magnet synchronous linear motors with auxiliary pole type.The optimization results show that the algorithm can effectively save the permanent magnet material and reduce the thrust fluctuation,and finally the experiment verifies the effectiveness of the algorithm.

PMLSM(permanent magnet linear synchronous machine)Pareto ACOvariable pheromone volatility coefficientmulti-objective optimizationdetent force

赵正阳、郭亮、鲁文其

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浙江理工大学信息科学与工程学院,浙江杭州 310018

浙江理工大学机械工程学院,浙江杭州 310018

永磁同步直线电机 帕累托蚁群优化算法 可变信息素挥发系数 多目标优化 定位力

国家自然科学基金国家自然科学基金浙江省科技厅重点研发计划浙江省科技厅重点研发计划

51677172522770682023C012432023C01159

2024

10.3969/j.issn.1005-2895.2024.05.007

轻工机械
中国轻工机械协会,中国轻工业机械总公司,轻工业杭州机电设计研究院

轻工机械

CSTPCD
影响因子：0.465
ISSN：1005-2895
年,卷(期)：2024.42(5)
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