2012
DOI: 10.2514/1.55426
|View full text |Cite
|
Sign up to set email alerts
|

Trajectory Design Combining Invariant Manifolds with Discrete Mechanics and Optimal Control

Abstract: A mission design technique that combines invariant manifold techniques, discrete mechanics, and optimal control produces locally optimal low-energy trajectories. Previously, invariant manifolds of the planar circular restricted three-body problem have been used to design trajectories with relatively small midcourse change in velocity V. A different method of using invariant manifolds is explored to design trajectories directly in the four-body problem. Then, using the local optimal control method DMOC (Discret… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 22 publications
(12 citation statements)
references
References 31 publications
0
12
0
Order By: Relevance
“…For example, Moore et al [53] used discrete mechanics and optimal control to steer a satellite while exploiting its dynamics to the maximum.…”
mentioning
confidence: 99%
“…For example, Moore et al [53] used discrete mechanics and optimal control to steer a satellite while exploiting its dynamics to the maximum.…”
mentioning
confidence: 99%
“…This curve can be solved by various approaches, such as the traditional variational method [24,25] and the popular strategies like direct methods and indirect methods. The direct methods include the shooting method and multiple shooting method [26,27], while the indirect methods include the discrete mechanics and optimal control (DMOC) method and Gauss pseudospectral method [28][29][30]. Here, the traditional method is adopted for its robustness and stability.…”
Section: Optimal Control Solutionmentioning
confidence: 99%
“…Contraints in the problem are considered both for velocity and trajectory positions. Coffee et al [102] adressed a similar problem to the one described by [101] and [103]. For tackling this situation, Schütze et al [100] have proposed a novel technique based on the pruning of the design space, and the application of a multiobjective optimization technique in each subregion.…”
Section: Moo For Space Mission Design Problemsmentioning
confidence: 99%