Multiobjective planning for spacecraft reorientation under complex pointing constraints

被引:14
|
作者
Xu, Rui [1 ,2 ]
Wang, Hui [1 ,2 ]
Zhu, Shengying [1 ,2 ]
Jiang, Huiping [3 ]
Li, Zhaoyu [4 ]
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, Beijing 100081, Peoples R China
[2] Minist Ind & Informat Technol, Key Lab Autonomous Nav & Control Deep Space Explo, Beijing 100081, Peoples R China
[3] Minzu Univ China, Sch Informat Engn, Beijing 100081, Peoples R China
[4] Beijing Inst Technol, Sch Mechatron Engn, Beijing 100081, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Constrained reorientation; Dynamic iteration; Multiobjective planning; Rotational-path decomposition; PARTICLE SWARM OPTIMIZATION; ATTITUDE-CONTROL; SATELLITE; EARTH;
D O I
10.1016/j.ast.2020.106002
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The spacecraft is required to optimize some performance indexes during the attitude maneuver in many space missions. Moreover, the presence of the bounded and pointing constraints will greatly reduce the feasible attitude space. It is difficult to solve the optimal spacecraft reorientation under complex multiple constraints. The notion of the rotational-path geometric-reasonableness is proposed to evaluate the quality of the maneuver path in terms of its geometric characteristics, which involve the path length and path unwinding in this paper. Considering the rotational-path geometric-reasonableness and energy consumption, this paper addresses the multiobjective spacecraft reorientation planning problem with constraints and proposes a new dynamic-iteration-based multiobjective planning (DIMP) method. Through the iterative quadratic programming approach with the dynamic termination criteria, the proposed method first generates a multiobjective suboptimal solution that does not consider the pointing constraints. Then the final solution under the keep-in and keep-out constraints is yielded via multiple rotational-path decomposition and iterative planning. Simulation results demonstrate the high efficiency of the proposed method, which can obtain a high-quality and low-energy solution. (c) 2020 Elsevier Masson SAS. All rights reserved.
引用
收藏
页数:11
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