基于粒子群算法的航天发射任务规划技术  

Space Launch Mission Planning Technology Based on Particle Swarm Optimization

作　　者：淳静[1] 李阳[2] 杨俊[2] CHUN Jing;LI Yang;YANG Jun(Technical Department of Taiyuan Satellite Launch Center,Taiyuan,030027;College of Intelligence Science and Technology,National University of Defense Technology,Changsha,410073)

机构地区：[1]太原卫星发射中心技术部,太原030027 [2]国防科技大学智能科学学院,长沙410073

出　　处：《导弹与航天运载技术（中英文）》2024年第6期47-53,共7页Missiles and Space Vehicles

基　　金：国家自然科学基金青年基金(No.62103426)。

摘　　要：随着科技的不断发展,航天发射进入了新的发展阶段,对于航天发射的任务规划技术研究不断深入。探讨了航天发射任务规划的当前进展与前沿技术,包括任务规划阶段、流程、意义,重点剖析了当前面临的难点问题,提出了对应的意见建议,并对未来的发展趋势进行了展望,最后采用改进粒子群算法对发射选择进行仿真分析,试验结果表明,所采取的算法有效解决了问题,能够提供发射成功率高且成本低廉的方案。With the continuous development of science and technology,space launch has entered a new stage of development,and the research of space launch mission planning technology has been deepened.The current progress and advanced technology of space launch mission planning are mainly discussed,including the mission planning stage,process and significance,and the analysis of the current difficult problems is focused.The relevant opinions and suggestions are put forward.The future development trend is looked forward to,and finally the improved particle swarm algorithm is adopted to simulate and analyze the launch selection,and the experimental results show that the adopted algorithm effectively solves the problem,and is able to provide a plan with low launch cost and high launch success rate at the same time.

关 键 词：航天发射 任务规划 粒子群算法 应急发射 卫星 

分 类 号：V19[航空宇航科学与技术—人机与环境工程]