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Multi-swingby optimization of mission to Saturn using global optimization algorithms 被引量:5
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作者 Kaijian Zhu Junfeng Li Hexi Baoyin School of Aerospace, Tsinghua University,100084 Beijing, China 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2009年第6期839-845,共7页
Based on the trajectory design of a mission to Saturn, this paper discusses four different trajectories in various swingby cases. We assume a single impulse to be applied in each case when the spacecraft approaches a ... Based on the trajectory design of a mission to Saturn, this paper discusses four different trajectories in various swingby cases. We assume a single impulse to be applied in each case when the spacecraft approaches a celestial body. Some optimal trajectories ofEJS, EMS, EVEJS and EVVEJS flying sequences are obtained using five global optimization algorithms: DE, PSO, DP, the hybrid algorithm PSODE and another hybrid algorithm, DPDE. DE is proved to be supe- rior to other non-hybrid algorithms in the trajectory optimi- zation problem. The hybrid algorithm of PSO and DE can improve the optimization performance of DE, which is vali- dated by the mission to Saturn with given swingby sequences. Finally, the optimization results of four different swingby sequences are compared with those of the ACT of ESA. 展开更多
关键词 swingby trajectory . Global optimization .Hybrid algorithm . Mission design
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