Optimization design of brushless DC motor for flight control
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摘要: 飞行控制中机电作动系统的发展是全电飞机的重要技术之一,而高速大功率密度的无刷直流电动机是其中的关键部件.为解决无刷直流电动机设计中的非线性优化问题,提出了使用遗传算法进行优化设计.为解决无刷直流电动机多目标优化问题,采用了多目标函数变量加权法,将多目标函数变成单目标函数进行优化计算.在计算中,为达到无刷直流电动机全局优化的目的,采用随机产生离散初始种群及随机交叉操作和变异操作方法.但由于采用随机交叉和变异操作,优化结果始终是发散的.为此采用优秀个体保护策略,加快了优化设计的收敛.在满足技术要求的前提下,通过计算达到了减小电机的体积重量、减小转子转动惯量及机电时间常数、提高无刷直流电动机功率密度的目的.Abstract: Development of electromechanical actuation system for flight control is one of the most important technologies in the path to all-electric airplane. Brushless DC motor of high speed and high power density is the key in the system. In order to solve the problem of non-liner optimization, the genetic algorithm was adopted. The method of compond target function variable weighting was adopted for solving compond target optimization problem, and compond target was put into single target . In order to optimize all fields in calculation, the method of discrete group with random, random cross operation and variation operation was adopted. Because the optimization result is discrete, excellent individual protect plan was adopted to quicken constringency. Satisfied with the technical request, the volume and weight of the motor, moment of inertia of rotor , electromechanical time cost were reduced, and power density of brushless DC motor was improved by means of calculation.
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[1] Prina S R. Consideration in the design of brushless DC motors . In:Kuo B C, ed. Proc 21th Annual Symposium Incremental Motion Control Systems and Devies . Illinois:Incremental Motion Control Systems Socirty, 1992.1~16 [2] 朱耀忠,王自强.飞行控制用无刷直流电动机的电磁设计[J].北京航空航天大学学报,2000,26(3):307~310 Zhu Yaozhong, Wang Ziqiang. Consideration in the electromagnetic design of brushlass DC motor for flight control [J]. Journal of Beijing University of Aeronautics and Astronautics, 2000,26(3):307~310(in Chinese) [3] 王自强,朱耀忠,陈杰峰.飞行控制用无刷直流电动机的结构设计[J].北京航空航天大学学报,2001,29(9):779~782 Wang Ziqiang, Zhu Yaozhong,Chen Jiefeng. Consideration in the structure design of brushless DC motor for flight control [J]. Journal of Beijing University of Aeronautics and Astronautics,2001,29(9):779~782(in Chinese) [4] 杨卫国,金启玫. 工程领域几种电工常用优化方法比较和选取[J].电工电能新技术,1999,18(3):28~32 Yang Weiguo, Jin Qimei. Comparison and selection of novel optimization methods in electrical engineering[J]. Advanced Technology of Electrical Engineering and Energy,1999,18(3):28~32(in Chinese) [5] 王小平,曹立明. 遗传算法——理论、应用与软件实现[M]. 西安:西安交通大学出版社, 2002.73~74 Wang Xiaoping, Cao Liming. Genetic algorithm——theory, application and soft realization[M]. Xi'an:Xi'an Jiaotong University Press, 2002.73~74(in Chinese) [6] Srinivas M, Patnaik L M. Adaptive probabilities of crossover and mutations in gas[J]. IEEE Trans on SMC,1994,24(4):656~667 -
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