中国空间科学技术

中国空间科学技术

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用遗传算法求解双冲量最优交会问题

王华,唐国金   

  1. 国防科技大学航天与材料工程学院,国防科技大学航天与材料工程学院 长沙410073 ,长沙410073
  • 发布日期:2003-02-25

Solving Optimal Rendezvous Using Two Impulses Based on Genetic Algorithms

Wang Hua Tang Guojin (College of Aerospace and Material Engineering, National Univ. of Defense Technology, Changsha 410073)   

  • Online:2003-02-25
  • Supported by:
    高等学校骨干教师资助计划 (GG 1 30 90 0 0 2 1 0 1 7)

被引次数

62

摘要： 在考虑第一次脉冲位置变化情况下 ,推导了航天器双冲量交会时的优化模型 ,以此为基础构造了最优交会的燃料 -时间混合优化指标 ,并设计了与之相应的遗传算法。仿真结果表明 ,考虑和不考虑第一次脉冲位置 ,优化指标值相差悬殊 ,同时也证明了遗传算法的设计是成功的

关键词: 遗传算法, 交会航天器, 最佳控制, 研究

Abstract: Considering the influence of the first impulse's position, the model of rendezvo us between two spacecrafts using two impulses is derived. Based on that, optimal rendezvous object considering of fuel and time is constructed, and GA (Genetic Algorithms) is designed. Simulation results show that the value of performance index, considering the influence of the first impulse's position, is better than that if not considering, and prove the design fo GA is successful.