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Interactive optimization approach for optimal impulsive rendezvous using primer vector and evolutionary algorithms
- Source :
-
Acta Astronautica . Aug2010, Vol. 67 Issue 3/4, p396-405. 10p. - Publication Year :
- 2010
-
Abstract
- Abstract: In this paper, a new optimization approach combining primer vector theory and evolutionary algorithms for fuel-optimal non-linear impulsive rendezvous is proposed. The optimization approach is designed to seek the optimal number of impulses as well as the optimal impulse vectors. In this optimization approach, adding a midcourse impulse is determined by an interactive method, i.e. observing the primer-magnitude time history. An improved version of simulated annealing is employed to optimize the rendezvous trajectory with the fixed-number of impulses. This interactive approach is evaluated by three test cases: coplanar circle-to-circle rendezvous, same-circle rendezvous and non-coplanar rendezvous. The results show that the interactive approach is effective and efficient in fuel-optimal non-linear rendezvous design. It can guarantee solutions, which satisfy the Lawden''s necessary optimality conditions. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 00945765
- Volume :
- 67
- Issue :
- 3/4
- Database :
- Academic Search Index
- Journal :
- Acta Astronautica
- Publication Type :
- Academic Journal
- Accession number :
- 51147240
- Full Text :
- https://doi.org/10.1016/j.actaastro.2010.02.014