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针对多星过站冲突问题,以工程需求为导引,建立了多星测控调度模型,并采用遗传算法对其进行求解.从全局和局部搜索两种策略入手,以可用可见弧段为对象,设计了“全弧段”编码和基于协同进化的编码两种编码方式,给出了对应算法的实现流程和遗传操作算子,对两种编码方式的求解效率进行了分析.通过仿真对两种编码的求解质量与时间开销性能作了验证,由此得出了两种编码和对应搜索策略的适用范围.据此开发的系统已成功应用于航天顶层设计的辅助决策.
Aiming at the problem of multi-satellite crossing conflict, the multi-star measurement and control scheduling model is established based on engineering requirements, and the genetic algorithm is used to solve the problem.From the two strategies of global and local search, the available visible arc is taken as object, The design of the “arc” and the coding based on co-evolution coding two kinds of coding methods are given corresponding to the algorithm implementation process and genetic operators, the two encoding methods to solve the efficiency analysis by simulation The validity of the two codes in solving the quality and time overhead is verified, and the suitable scope of the two codes and the corresponding search strategies is obtained.The system developed based on this has been successfully applied to the aided decision-making of aerospace top-level design.