An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit

In this paper, an approach is presented for finding the optimal long-range space rendezvous in terms of fuel and time, considering limited impulse. In this approach, the Lambert problem is expanded towards a discretized multi-impulse transfer. Taking advantage of an analytical form of multi-impulse...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Aerospace science and technology Ročník 94; s. 105400
Hlavní autori: Shirazi, Abolfazl, Ceberio, Josu, Lozano, Jose A.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Masson SAS 01.11.2019
Predmet:
Discretized Lambert problem
Evolutionary approach
Impulse limit
Long-range rendezvous
Optimal transfer
Self-adaptive algorithm
Impulse limit
Evolutionary approach
Discretized Lambert problem
Optimal transfer
Self-adaptive algorithm
Long-range rendezvous
ISSN:1270-9638, 1626-3219
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:In this paper, an approach is presented for finding the optimal long-range space rendezvous in terms of fuel and time, considering limited impulse. In this approach, the Lambert problem is expanded towards a discretized multi-impulse transfer. Taking advantage of an analytical form of multi-impulse transfer, a feasible solution that satisfies the impulse limit is calculated. Next, the obtained feasible solution is utilized as a seed for generating individuals for a hybrid self-adaptive evolutionary algorithm to minimize the total time, without violating the impulse limit while keeping the overall fuel mass the same as or less than the one associated with the analytical solution. The algorithm eliminates similar individuals and regenerates them based on a combination of Gaussian and uniform distribution of solutions from the fuel-optimal region during the optimization process. Other enhancements are also applied to the algorithm to make it auto-tuned and robust to the initial and final orbits as well as the impulse limit. Several types of the proposed algorithm are tested considering varieties of rendezvous missions. Results reveal that the approach can successfully reduce the overall transfer time in the multi-impulse transfers while minimizing the fuel mass without violating the impulse limit. Furthermore, the proposed algorithm has superior performance over standard evolutionary algorithms in terms of convergence and optimality.
ISSN:1270-9638
1626-3219
DOI:10.1016/j.ast.2019.105400