多目标探测混合整数轨迹优化方法研究进展  

The Progress of Mixed Integer Programming Method for Multi-Target Trajectory Optimization

作　　者：张楠 宝音贺西[1] 崔海英 ZHANG Nan;BAOYIN Hexi;CUI Haiying(School of Aerospace Engineering,Tsinghua University,Beijing 100084;University of Chinese Academy of Sciences,Beijing 100049)

机构地区：[1]清华大学航天航空学院,北京100084 [2]中国科学院大学,北京100049

出　　处：《飞控与探测》2025年第1期1-15,共15页Flight Control & Detection

基　　金：国家自然科学基金(62227901,12202227)。

摘　　要：多目标探测是一种经济高效的航天任务设计方案,在小行星探测、木星和土星系内卫星遍游探测等深空任务中备受青睐。然而,该方案下的轨迹优化问题却非常复杂,不仅包含了探测时机、脉冲等连续变量,还牵涉目标选取与访问顺序等整数变量,属于混合整数规划难题,是航天动力学与控制领域的热点问题。首先介绍了多目标探测中的混合整数轨迹优化问题;然后从转移轨迹优化、探测序列优化和多航天器协同探测优化3个方面探讨了该问题的研究进展,讨论了各种方法的特点与适用范围;最后展望了该研究领域未来的发展方向,为深空探测任务的优化与创新提供了新的思路。Multi-target exploration presents an economically efficient scheme,which is gradually becoming the preferred choice for deep space missions such as asteroid exploration,and moons traverse flyby within the Jupiter and Saturn systems.However,the trajectory optimization problem under this scheme is extremely complex.It involves not only continuous variables such as exploration epochs and maneuvering impulses but also integer variables like target selection and visiting sequence.This falls under the domain of mixed-integer programming,constituting a challenging issue in the field of aerospace dynamics and control.First,this paper introduces the mixed-integer trajectory optimization problem in multi-target exploration.Then,the research progress in this problem is explored from three perspectives:transfer trajectory optimization,sequence optimization,and multi-spacecraft collaborative exploration optimization.The characteristics and applicability of various methodologies are discussed.Finally,the future developmental trajectory of this research field is anticipated,offering new perspectives for the optimization and innovation of deep space exploration missions.

关 键 词：多目标探测 轨迹优化 序列优化 多航天器探测 启发式算法 

分 类 号：V412.4[航空宇航科学与技术—航空宇航推进理论与工程]