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作 者:MIAO Zhongcui ZHANG Lei LI Yan ZHANG Hui 缪仲翠;张磊;李燕;张慧(兰州交通大学自动化与电气工程学院,甘肃兰州730070;兰州交通大学光电技术与智能控制教育部重点实验室,甘肃兰州730070)
机构地区:[1]School of Automation&Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China [2]Key Laboratory of Opto-Technology and Intelligent Control of Ministry of Education,Lanzhou Jiaotong University,Lanzhou 730070,China
出 处:《Journal of Measurement Science and Instrumentation》2024年第4期547-557,共11页测试科学与仪器(英文版)
摘 要:To reduce thrust ripple and cost and improve the average thrust of permanent magnet linear motors,a modular dual-field modulation permanent magnet linear motor was studied,and the parameters were optimized.First,sensitive parameters were selected using the Taguchi method,and then the optimal variables were sampled using the optimal Latin hypercube experimental design method and an ensemble of surrogates model of optimization objectives,and its accuracy was verified.Next,a multi-objective particle swarm optimization algorithm was used to optimize the purpose of“maximum average thrust and minimum thrust ripple”,and the Pareto front of average thrust and thrust ripple was obtained.Finite element analysis showed that the optimized modular dual flux-modulation permanent magnet linear motor(MDFMPMLM)had a 29.5%reduction in thrust ripple and a 5%increase in average thrust compared to the original motor.This study provided an effective method for improving the performance of permanent magnet linear motors.为了降低永磁直线电机的推力波动和成本,提升平均推力,本文以模块化双磁场调制永磁直线电机为研究对象对电机的结构变量进行了优化。首先,采用Taguchi法选出敏感性结构变量。然后,利用最优拉丁超立方试验设计方法对优化变量进行抽样,并构建优化目标的组合近似模型,进行精度检验。接着,采用多目标粒子群优化算法,以“平均推力最大,推力波动最小”为目标进行优化,获得平均推力和推力波动的Pareto前沿。有限元分析表明,优化后的MDFMPMLM相比原始电机,推力波动下降了29.5%,平均推力提升了5%。这项研究为永磁直线电机的性能改善提供了有效方法。
关 键 词:field modulation thrust characteristics finite element analysis ensemble of surrogates model permanent magnet linear motor multi-objective optimization
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