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作 者:张嘉城 朱阅訸 罗亚中[1] ZHANG JiaCheng;ZHU YueHe;LUO YaZhong(College of Aerospace Science,National University of Defense Technology,Changsha 410073,China)
出 处:《中国科学:技术科学》2022年第4期651-666,共16页Scientia Sinica(Technologica)
摘 要:空间站总体运营任务规划是一类对象规模庞大且约束关系复杂的问题,其主要包括飞船访问序列规划、在轨事件分配规划和需求物资补给规划.为简化问题,过去的研究仅对飞船规划、事件规划和物资规划中的某一类子问题单独进行建模和求解.本文提出了一种考虑多元要素间耦合关系的统筹规划方法,可同时求解综合规划方案.首先,构建了空间站总体规划领域概念模型,以描述规划对象属性及其间的内在联系.其次,为处理各子问题间的复杂约束关系,提出了基于分解的单个可行方案求解方法.最后,基于进化算法优化方案,提出了应用于多变量规模复合问题的进化策略,从而克服了不同子问题规模差异对优化的影响.应用算例分析表明,所提出的规划模型与方法可有效化解统筹规划中的复杂约束,所提出的复合问题进化策略可显著提高优化效率.Space station overall operation planning is a problem with large-scale variables and complex constraints,including transport launch scheduling,on-orbit event allocation,and logistics planning.Previous studies have only focused on one of these sub-problems.Thus,in this paper,an integrated planning method is proposed to obtain a comprehensive scheme by considering the coupling between all sub-problems.First,the conceptual model is constructed to mathematically describe the attributes of the planning objects and their internal relations.Second,a decomposition-based method is proposed to link sub-problems to obtain a single feasible solution.Finally,the problem is optimized based on the evolutionary algorithm,and an improvement strategy for evolutionary operators is proposed to overcome the efficiency limitation when optimizing the problem comprising several sub-problems with different design variable scales.A case study demonstrates that the mathematical model can resolve the complex constraints among multiple subproblems effectively.In addition,applying the evolutionary strategy to the compound problem can improve optimization efficiency significantly.
分 类 号:V476.1[航空宇航科学与技术—飞行器设计]
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