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基于微分进化算法的深空轨道全局优化设计 被引量:6

THE GLOBAL OPTIMIZATION OF SPACE EXPLORATION TRAJECTORY DESIGN BASED ON DIFFERENTIAL EVOLUTION ALGORITHM
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摘要 针对多目标多任务的深空探测轨道设计问题,提出一种新的将探测目标、探测方式、探测顺序以及发射窗口同时作为优化变量,并采用微分进化算法进行全局优化的设计方法.使用该方法在只考虑太阳中心引力作用的二体模型下,基于圆锥曲线拼接法建立第三届全国深空轨道设计竞赛问题的优化模型并进行求解.最后利用该方法求解ESA的ACT研究团队的深空探测任务算例并对结果进行对比分析.结果表明,提出的全局优化设计方法对解决多目标、多任务深空探测轨道优化设计问题是可行和有效的. In this paper, a new global optimization method is proposed to solve the multi-target space exploration trajectory design problem. The variables of targets selection, visiting sequences and launch windows are synchronously optimized. In the context of two-body model in which the central gravity of the sun is only considered with the thrust as impulse, the patched-conic method accompanied with differential evolution (DE) algorithm are applied to solve the global optimization trajectory design problem. Then the method is utilized to solve the problem of the Third National Design Competition for Deep Space Exploration and the example missions of the ACT of ESA. It proves that the global trajectory optimization design method is feasible and valuable for the problem of multi-target and multi-mission space trajectory design.
出处 《力学学报》 EI CSCD 北大核心 2012年第6期1079-1083,共5页 Chinese Journal of Theoretical and Applied Mechanics
关键词 深空探测 多目标多任务 轨道优化 Lambert变轨 微分进化算法 deep space exploration, multi-target and multi-mission, trajectory optimization, lambert orbital transfer, differential evolution (DE) algorithm
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  • 1刘文,张育林,刘昆.基于多目标进化算法的卫星通信星座优化设计[J].宇航学报,2008,29(1):95-99. 被引量:9
  • 2王伯平,王薇,孙大刚,阎献国,都丽娜,Bo-ping Da-gang Xian-guo Li-na.基于混沌遗传算法的圆度误差测量[J].计量学报,2009(6). 被引量:2
  • 3崔长彩,黄富贵,张认成,李兵.粒子群优化算法及其在圆度误差评定中的应用[J].计量学报,2006,27(4):317-320. 被引量:20
  • 4吴新杰,张丹,李媛,陶崇娥.基于粒子群优化算法处理圆度误差[J].传感技术学报,2007,20(4):832-834. 被引量:9
  • 5Murthy T S R, Abdin S Z. Minimum zone evaluation of surfaces [ J ]. International Journal of Machine Tools Design and Research, 1980,20 (2) : 123 - 136.
  • 6Lai K, Wang J. A computational geometry approach to geometric tolerancing [ C ]//16 th North American Manu- facturing Research Conference. Champaign, Illinois, USA : University of Illinois, 1988:376 - 379.
  • 7Zhu L M, Ding H, Xiong Y L. A steepest descent al- gorithm for circularity evaluation [ J ]. Compute Aided Design ,2003,35 ( 3 ) : 255 - 265.
  • 8Wen Xiulan, Xia Qingguan, Zbao Yibing. An effective genetic algorithm for circularity error unified evaluation [ J]. International Journal of Machine Tools &Manufac- ture ,2006,46(14) : 1770 - 1777.
  • 9Suen D S, Chang C N. Application of neutral network interval regression method for minimum zone circle roundness [ J]. Meas Sci Technol, 1997,8 ( 3 ) : 245 - 252.
  • 10Sun T H. Applying particle swarm optimization algo- rithm to roundness measurement [ J ]. Expert Systems with Applications, 2009,36 ( 2 ) : 3428 - 3438.

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