摘要
空间飞行器轨迹优化与控制技术可通过优化设计飞行过程中的控制律,来提高飞行器总体性能,在航空航天领域具有极高的发展潜力和应用价值。围绕该研究方向,概述了近年来国内外的主要研究成果和最新研究进展。重点关注了针对建模方法的研究以及针对求解方法的研究这两个方向,以及新兴的人工智能方法。在此基础上,重新梳理了空间飞行器轨迹优化与控制方法的理论体系,重点分析了各类典型方法的优缺点以及最新的代表性成果。结合其研究历程以及现有技术优势,对空间飞行器轨迹优化与控制方法的未来发展趋势进行了展望,指出未来空间飞行器轨迹优化与控制技术将朝着通用化、智能化、数据化、实时化的方向发展。
Space vehicle trajectory optimization and control technology can improve the overall performance of space vehicles by optimizing and design of the control law in the flight process,which is of great development potential and application values in the aerospace field.Focusing on this study direction,the main research results and the latest research progress in recent years among domestic and foreign researchers are surveyed.Attention is focused on two aspects,i.e.,modeling methods and solving methods,as well as emerging artificial intelligence methods.On such basis,the theoretical system of space vehicle trajectory optimization and control methods is sorted out again,and the focused analysis of advantages and disadvantages of various types of typical methods and the latest representative results is carried out.Finally,the future development trend of space vehicle trajectory optimization and control methods is prospected in the view of the research history and existing technical advantages,it is pointed out that space vehicle trajectory optimization and control technology will develop in the such direction as generalization,intelligence,digitalization,and real-time.
作者
曲庆渝
刘克新
王成才
吕金虎
QU Qingyu;LIU Kexin;WANG Chengcai;LYU Jinhu(School of Automation Scicnce and Electrical Engincering,Beihang University,Beijing 100191,China)
出处
《指挥与控制学报》
CSCD
北大核心
2024年第4期381-390,共10页
Journal of Command and Control
基金
国家自然科学基金(92067204),北京市科技新星计划,北航博士研究生卓越学术基金资助。
关键词
空间飞行器
轨迹优化与控制
凸优化
人工智能
最优控制
space vehicle
trajectory optimization and control
convex optimization
artificial intelligence
optimal control