## 留言板

 引用本文: 武志勇, 郭宏, 吕振华, 等 . 基于遗传算法的双余度无刷直流电机优化设计[J]. 北京航空航天大学学报, 2011, 37(12): 1541-1545,1568.
Wu Zhiyong, Guo Hong, Lü Zhenhua, et al. Genetic algorithm based optimal design for dual-redundancy brushless DC motor[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(12): 1541-1545,1568. (in Chinese)
 Citation: Wu Zhiyong, Guo Hong, Lü Zhenhua, et al. Genetic algorithm based optimal design for dual-redundancy brushless DC motor[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(12): 1541-1545,1568. (in Chinese)

## 基于遗传算法的双余度无刷直流电机优化设计

###### 作者简介:武志勇(1985-),男,河北石家庄人,硕士生,wuzhiyong29@126.com.
• 中图分类号: TM 302

## Genetic algorithm based optimal design for dual-redundancy brushless DC motor

• 摘要: 针对航空电作动系统用双余度无刷直流电机的方案寻优问题,提出了一种基于遗传算法的优化设计方法.通过分析航空作动系统的特点和性能要求得出电机优化设计的目标函数和约束条件.建立电机的电磁和热路模型,得到目标函数和约束条件的解析方程.其中,在电磁模型的建立过程中,采用解析方法得到气隙磁密和反电势系数表达式;在热路模型的建立过程中,采用Bertotti分立铁耗法计算铁心损耗,并利用热路法求解电机各部分的温升.通过遗传算法对电机重量全局寻优.计算结果表明:在满足性能要求的前提下,优化设计方案合理,电机重量减小了13.3%,验证了该优化设计和建模方法的有效性.

•  [1] 王自强,张龙,黄燕丹.飞行控制用无刷直流电动机的优化设计[J].北京航空航天大学学报,2004,30(7):588-592Wang Ziqiang,Zhang Long,Huang Yandan.Optimaization design of brushless DC motor for flight control [J].Journal of Beijing University of Aeronautics and Astronautics,2004,30(7):588-592(in Chinese) [2] 陈金涛,辜承林.基于遗传算法的永磁直流电机优化设计[J].微电机,2006,39(8):17-20Chen Jintao,Gu Chenglin.Design optimization of permanent-magnet DC machine based on genetic algorithm[J].Micromotors Servo Technique,2006,39(8):17-20(in Chinese) [3] Kim Ki-Chan,Lee Ju,Kim HeeJun.Multiobjective optimal design for interior permanent magnet synchronous motor[J].IEEE Trans on Magnetics,2009,45(3):1780-1783 [4] 黄允凯,胡虔生,朱建国.永磁无刷直流电机铁耗计算方法[J].电机与控制应用,2007,34(4):6-9Huang Yunkai,Hu Qiansheng,Zhu Jianguo.Methods for calculating core losses in permanent magnet motors[J].Electric Machines &Control Application,2007,34(4):6-9(in Chinese) [5] 吴建华.基于遗传算法的开关磁阻电机优化设计[J].电工技术学报,1996,11(4):6-9Wu Jianhua.Optimization design of switch reluctance motor based on genetic algorithm[J].Transactions of China Electrotechnical Society,1996,11(4):6-10 (in Chinese) [6] 吕德刚,王国良.自适应遗传算法在防爆型高能量密度电机设计中的应用[J].防爆电机,2007,42(1):7-10Lü Degang,Wang Guoliang.The application of the adaptive genetic algorithm to optimum design of explosion-proof high-energy density motor[J].Explosion-proof Electric Machine,2007,42(1):7-10(in Chinese) [7] 贾宏鑫,叶云岳.直线感应电动机的全局优化设计研究[J].电工技术学报,2001,16(4):16-20Jia Hongxin,Ye Yunyue.Study on design of linear induction motor[J].Transactions of China Electrotechnical Scociety,2001,16(4):16-20(in Chinese) [8] 王兴华,励庆孚,王曙鸿.永磁无刷直流电机空载气隙磁场和绕组反电势的解析计算[J].中国电机工程学报,2003,23(3):126-130 Wang Xinghua,Li Qingfu,Wang Shuhong.Analytical calculation of no-load air-gap magnetic field and back electromotive force in brushless DC motor[J].Proceedings of the CSEE,2003,23(3):126-130(in Chinese) [9] Zhu Z Q.Instantaneous magnetic field distribution in brushless permanent magnet DC motors[J].IEEE Trans on Magnetics,1993,29(1):143-151 [10] Jiao Guozhu.Improved formulations for rotational core losses in rotating electrical machines[J].IEEE Trans on Magnetics,1998,34(4):2234-2242 [11] Bertotti G.General properties of power losses in soft ferromagnetic materials[J].IEEE Trans on magnetics,1988,24(1):621-630 [12] Fiorill F,Novikov A.An improved approach to power losses in magnetic laminations under nonsinusoidal induction waveform[J].IEEE Trans on Magnetics,1998,34(7):2234-2242 [13] 陈世坤.电机设计[M].北京:机械工业出版社,2000:118-134 Chen Shikun.The design of motor[M].Beijing:China Machine Press,2000:118-134(in Chinese) [14] Jérome Legranger,Guy Friedrich.Combination of finite-element and analytical models in the optimal multidomain design of machines:application to an interior permanent-magnet starter generator[J].IEEE Trans on Industry Applications,2010,46(1):232-239 [15] Makni Z,Besbes M,Marchand C.Multiphysics design methodology of permanent-magnet synchronous motors[J].IEEE Trans on Vehicular Technology,2007,56(4):1525-1530

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##### 出版历程
• 收稿日期:  2010-08-02
• 刊出日期:  2012-12-30

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