Space Vehicle Orbit Transfer Optimization Based on Direct Transcription and Simulated Annealing Genetic Algorithm

摘要：

A direct numerical approach for space vehicle trajectory optimization was proposed. The direct transcription with Simpson Quadrature was used for discretization of constrained optimal control problem. The genetic algorithm with simulated annealing penalty function was used for global search. The application to space vehicle orbit transfer optimization indicated that this method could improve the sensitive problem of initial guess effectively, attain to the global optimal result and avoid the appearance of ill-conditioned gradient. It is a good reference for the preliminary schematic trajectory design of space vehicle as well.

关键词： direct transcription genetic algorithm simulated annealing trajectory optimization space vehicle

作者: Dingni Zhang

作者单位: School of Aerospace Engineering and Applied Mechanics Tongji University Shanghai,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 599-602

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）