Solar sail hybrid trajectory optimization for non-Keplerian orbit transfers

被引:32
作者
Hughes, GW [1 ]
McInnes, CR [1 ]
机构
[1] Univ Glasgow, Dept Aerosp Engn, Glasgow G12 8QQ, Lanark, Scotland
关键词
Computational methods - Convergence of numerical methods - Estimation - Genetic algorithms - Optimization - Orbits - Position control - Solar energy;
D O I
10.2514/2.4924
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A trajectory optimization tool was developed which hybridized a genetic algorithm (GA) with sequential quadratic programming (SQP). When applied to the difficult problem of preliminary mission planning for high-performance solar sail transfers to displaced non-Keplerian orbits (NKOs), it appeared to identify near-optimal trajectories with relative ease. A small number of segments reduced the computational burden imposed by using a GA.
引用
收藏
页码:602 / 604
页数:3
相关论文
共 7 条
[1]  
[Anonymous], 1989, GENETIC ALGORITHM SE
[2]  
Bryson A.E., 2018, Applied optimal control, V1, DOI DOI 10.1201/9781315137667
[3]   Optimal multi-objective low-thrust spacecraft trajectories [J].
Coverstone-Carroll, V ;
Hartmann, JW ;
Mason, WJ .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2000, 186 (2-4) :387-402
[4]  
FOWLER WT, 1999, AM ASTR SOC AIAA SPA
[5]  
McInnes C.R., 1999, SOLAR SAILING TECHNO, P171
[6]  
RAUWOLF GA, 1999, AM ASTR SOC AIAA AST
[7]   A SET OF MODIFIED EQUINOCTIAL ORBIT ELEMENTS [J].
WALKER, MJH ;
IRELAND, B ;
OWENS, J .
CELESTIAL MECHANICS, 1985, 36 (04) :409-419