基于多种群遗传算法的永磁涡流驱动器的多目标优化设计

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摘要为了优化永磁涡流驱动器的几个关键结构参数,研究了基于多种群遗传算法的多目标优化算法。首先,在磁场分析模型的基础上,推导出关键结构参数的解析表达式。以永磁体厚度、极弧系数和铜盘厚度为变量,以输出转矩、转动惯量和驱动器体积为优化目标,提出了基于熵值权重的永磁驱动器多目标优化函数,然后应用多种群遗传算法对永磁涡流驱动器进行优化。通过三维有限元仿真和实验验证了优化结果的准确性和可行性。最后,将计算结果与其他两种优化方法得到的结果进行了对比。结果表明,相比其他优化算法,该基于解析模型的多种群遗传算法在结构参数优化设计中有更好的计算效果。

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	时统宇
	王大志
	李召

关键词 ：永磁涡流驱动器, 解析法, 熵值权重, 多目标优化, 多种群遗传算法

Abstract：The aim of this paper was to explore the use of the multiple population genetic algorithm (MPGA) to optimize several parameters of permanent magnet eddy current drivers .At first,on the basis of the magnetic field analysis model,the analytical formulas of key parameters were deduced.By using permanent magnet thickness,pole-arc coefficient and copper plate thickness as variables and taking output torque,rotational inertia and the volume of the driver as optimization goals,this paper proposed a multi-objective optimization function with entropy coefficients and used the multiple population genetic algorithm to optimize parameters structure of the driver.Then,3D finite element analysis (3D-FEA) and experimental results proved the validity and feasibility of the proposed method.The results confirm that compared with other two optimization algorithms,optimization design result by the multiple population genetic algorithm based on the analytical model has better effect on optimization of structural parameters.

Key words： Permanent magnet eddy current driver analytical method entropy-based weight multi-objective optimization multiple population genetic algorithm

收稿日期: 2016-08-20 出版日期: 2017-03-23

PACS:

TM144

作者简介: 时统宇男,1988年生,博士研究生,研究方向为涡流驱动器的分析和优化。Email:techei@163.com(通信作者)王大志男,1963年生,博士,教授,博士生导师,研究方向为永磁传动和控制。Email:wangdazhi@neu.edu.cn

引用本文:

时统宇,王大志,李召. 基于多种群遗传算法的永磁涡流驱动器的多目标优化设计[J]. 电工技术学报, 2016, 31(增刊2): 262-268. Shi Tongyu, Wang Dazhi, Li Zhao. Multi-Objective Optimization Design of PMECD by Multiple Population Genetic Algorithm. Transactions of China Electrotechnical Society, 2016, 31(增刊2): 262-268.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I增刊2/262

[1] El-Wakeel A S.Design optimization of PM couplings using hybrid particle swarm optimization-simplex method (PSO-SM) Algorithm[J].Electric Power Systems Research,2014,116:29-35.
[2] Canova A,Freschi F,Gruosso G,et al.Genetic optimisation of radial eddy current couplings[J].COMPEL International Journal of Computations and Mathematics in Electrical,2005,24(3):767-783.
[3] Smith A C,El-Wakeel A,Wallace A.Formal design optimization of PM drive couplings[C]//Conference Record of the Industry Applications Conference,37th IAS Annual Meeting,2002:205-211.
[4] 石松宁,王大志,时统宇.基于RSM的永磁驱动器偏心磁极的多目标优化[J].仪器仪表学报,2014,35(9):1963-1971.
Shi Songning,Wang Dazhi,Shi Tongyu.Multi-objective optimization of eccentric magnet pole for permanent magnet drive based on response surface methodology[J].Journal of Scientific Instrumentation,2014,35(9):1963-1971.
[5] 石松宁,王大志.消弱永磁驱动器齿槽转矩的斜极优化方法[J].电工技术学报,2015,30(22):27-32.
Shi Songning,Wang Dazhi.Magnet skewing optimization method for reducing cogging torque in permanent magnet drive[J].Transactions of China Electrotechnical Society,2015,30(22):27-32.
[6] Canova A,Freschi F.Multiobjective design optimization and Pareto front analysis of a radial eddy current coupler[J].International Journal of Applied Electromagnetics and Mechanics,2010,32(4):219-236.
[7] 王旭,王大志.永磁调速器的磁路结构设计[J].电气传动,2011,41(10):55-58.
Wang Xu,Wang Dazhi.Magnetic circuit structural design of permanent magnetic driver[J].Electric Drive,2011,41(10):55-58.
[8] Wang Jian,Lin Heyun,Fang Shuhua,et al.A general analytical model of permanent magnet eddy current couplings[J].IEEE Transactions on Magnetics,2014,50(1):1-9.
[9] 杨超君,管春松.可调速异步盘式磁力联轴器的多目标优化设计[J].机械设计与研究,2011,27(5):37-41.
Yang Chaojun,Guan Chunsong.Multi-objective optimization design of axial permanent magnet couplings with adjustable speed system[J].Machine Design and Research,2011,27(5):37-41.
[10]张海光,张壮雅,万福平,等.基于熵权与响应面模型的DPVC工艺多目标优化[J].计算机集成制造系统,2014,20(8):1887-1895.
Zhang Haiguang,Zhang Zhuangya,Wan Fuping,et al.Multi-objective optimization for DPVC process based on entropy-weight and RSM[J].Computer Integrated Manufacturing Systems,2014,20(8):1887-1895.
[11]肖曦,许青松,王雅婷,等.基于遗传算法的内埋式永磁同步电机参数辨识方法[J].电工技术学报,2014,29(3):21-26.
Xiao Xi,Xu Qingsong,Wang Yating,et al.Parameter identification of interior permanent magnet synchronous motors based on genetic algorithm[J].Transactions of China Electrotechnical Society,2014,29(3):21-26.
[12]叶满园,周琪琦,蔡鸿,等.基于多种群遗传算法的多电平逆变器多波段SHEPWM技术[J].电工技术学报,2015,30(16):111-119.
Ye Manyuan,Zhou Qiqi,Cai Hong,et al.Multiple population genetic algorithm based on multi-band SHEPWM control technology for multi-level inverter[J].Transactions of China Electrotechnical Society,2015,30(16):111-119.
[13]顾雪平,刘文轩,王佳裕,等.一种机组恢复决策的多时段协调优化方法[J].电工技术学报,2016,31(21):114-124.
Gu Xueping,Liu Wenxuan,Wang Jiayu,et al.An optimization approach based on multiple time-step coordination for decision making of unit restoration[J].Transactions of China Electrotechnical Society,2016,31(21):114-124.