摘要
为了提高直线电机的推力性能,对电机结构尺寸优化与多目标优化算法进行关联研究,使用算法来优化电机次级侧的尺寸结构,从而提高电机的推力密度,降低推力波动。提出了一种求解多目标问题的Pareto鲸鱼优化算法,通过和另两种同类算法关于测试函数优化结果的对比实验表明Pareto WOA算法的先进性,然后采用Maxwell与MATLAB的联合方法辅助算法对直线同步磁阻电机的结构进行优化。结果证明,运用Pareto WOA算法对永磁同步直线电机进行结果优化后,电机的推力性能更加出色。
In order to improve the thrust performance of linear motor,the correlation study of motor structure size optimization and multi-objective optimization algorithm was carried out.The algorithm was used to optimize the size structure of the secondary side of the motor,so as to improve the thrust density of the motor and reduce the thrust fluctuation.This paper proposes a Pareto whale optimization algorithm for solving multi-objective problems.Through the comparison experiment with other two similar algorithms on the optimization results of test functions,the advanced performance of Pareto WOA algorithm was demonstrated.Then,Maxwell and MATLAB combined method assisted algorithm was used to optimize the structure of linear synchronous reluctance motor.The results show that the thrust performance of permanent magnet synchronous linear motor is better after the Pareto WOA algorithm is used to optimize the results.
作者
鲁志威
谢源源
LU Zhiwei;XIE Yuanyuan(School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200090,China)
出处
《农业装备与车辆工程》
2023年第5期146-149,共4页
Agricultural Equipment & Vehicle Engineering
关键词
鲸鱼算法
多目标优化
测试函数
电机结构
whale algorithm
multi-objective optimization
test function
motor structure
