Optimal multi-objective nonlinear impulsive rendezvous

作     者：Luo, Ya-Zhong Lei, Yong-Jun Tang, Guo-Jin 

作者机构：Natl Univ Def Technol Coll Aerosp & Mat Engn Changsha 410073 Peoples R China 

出 版 物：《JOURNAL OF GUIDANCE CONTROL AND DYNAMICS》 (制导、控制和动力学杂志)

年 卷 期：2007年第30卷第4期

页      面：994-1002页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0804[工学-仪器科学与技术] 0825[工学-航空宇航科学与技术] 

基　　金：Ministry of Education of the People's Republic of China, MOE, (20069998002) China Postdoctoral Science Foundation, (20060390892) National University of Defense Technology, NUDT, (JC06-01-01) 

主　　题：REVOLUTION LAMBERT SOLUTIONS GENETIC ALGORITHM CIRCULAR ORBIT OPTIMAL 2-IMPULSE SPACECRAFT TRAJECTORIES OPTIMIZATION CONSTRAINTS VICINITY 

摘      要：The multi-objective optimization of unperturbed two-body impulsive rendezvous is investigated in this paper. In addition to the total characteristic velocity and the time of rendezvous flight, the minimum relative distance between the chaser and the target in the chaser s free-flying path is proposed as another design performance index. The feasible iteration optimization model of three-objective impulsive rendezvous with path constraints including trajectory safety and field of view constraints is established using a Lambert algorithm. The multi-objective nondominated sorting genetic algorithm is employed to obtain the Pareto solution set. The -V-bar and +V-bar homing rendezvous missions are examined by the proposed approach. It is shown that tradeoffs between time of flight, propellant cost and passive trajectory safety, and several inherent principles of the rendezvous trajectory are demonstrated by this approach.