Multi-swingby optimization of mission to Saturn using global optimization algorithms

查看全文 作　　者：Kaijian Zhu Junfeng Li Hexi Baoyin School of Aerospace, Tsinghua University,100084 Beijing, China

出　　处：《Acta Mechanica Sinica》索引2009年第25卷第6期,共7页

基　　金：supported by the National Natural Science Foundation of China (10832004 and 10672084). 摘　　要：Based on the trajectory design of a mission toSaturn, this paper discusses four different trajectories in variousswingby cases. We assume a single impulse to be appliedin each case when the spacecraft approaches a celestial body.Some optimal trajectories of EJS, EMS, EVEJS and EVVEJSflying sequences are obtained using five global optimizationalgorithms: DE, PSO, DP, the hybrid algorithm PSODE andanother hybrid algorithm, DPDE. DE is proved to be superiorto other non-hybrid algorithms in the trajectory optimizationproblem. The hybrid algorithm of PSO and DE canimprove the optimization performance of DE, which is validatedby the mission to Saturn with given swingby sequences.Finally, the optimization results of four different swingbysequences are compared with those of the ACT of ES A. 关键词：全局优化算法土星粒子群优化算法混合算法最佳轨道环境管理体系设计任务优化性能

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Multi-swingby optimization of mission to Saturn using global optimization algorithms

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