AN OPTIMIZATION OF A SOLAR SAILCRAFT TRAJECTORY IN AN EARTH-MARS TRANSFER CONSIDERING THE ATTITUDE DYNAMICS
DOI:
https://doi.org/10.26512/ripe.v2i20.15000Abstract
The goal of this work was to optimize the trajectory of a solar sailcraft in an Earth-Mars transfer. Solar sailcraft is propulsion system with great interest in space engineering, since it uses solar radiation to propulsion. So there is no need for propellant to be used, thus it can remains active throughout the entire transfer maneuver. This type of propulsion system opens the possibility to reduce the cost of exploration missions in the solar system. In its simplest configuration, a Flat Solar Sail (FSS) consists of a large and thin structure generally composed by a film fixed to flexible rods. The performance of these vehicles depends largely on the sails attitude relative to the Sun. Using a FSS as propulsion, an Earth-Mars transfer optimization problem was tackled by the GEO real algorithm (Generalized Extremal Optimization with real codification). This algorithm is an Evolutionary Algorithm (AE) based on the theory of Self-Organized Criticality. The FSS was able to perform up to 10 maneuvers
until reach Mars. Two angles values are necessary to characterize the FSS film normal vector. Therefore, the GEO real algorithm had to optimize up to 20 design variables in order to minimize the transfer time from Earth to Mars. Once the optimized control law and the FSS trajectory were obtained, the attitude equations of motion were considered. Finally, the impact of this consideration in the FSS control law performance was evaluated. Keywords: Solar sailcraft, Trajectory optimization, Evolutionary algorithm, Attitude dynamics, Generalized Extremal Optimization.
Downloads
References
Clarck, D.E, Mannhold, R., Kubinyi, H. & Timmerman, H. Evolutionary algorithms in molecular design. Weinheim: Whiley-VCH, 2000.
Dachwald, B. Low-Thrust Trajectory Optimization and Interplanetary Mission Analysis Using Evolutionary Neurocontrol. Doctor Tesis - Universität der Bundeswehr München Fakultät für Luft- und Raumfahrttechnik Institut für Raumfahrttechnik, 2004.
Dasgupta, D. & Michalewicz, Z. (Editores), Evolutionary Algorithms in: Engineering applications. Berlin, Heidelberg, New York: Springer, 2001.
De Sousa, F.L., Ramos, F.M., Paglione, P. & Girardi, R.M. New Stochastic Algorithm for Design Optimization, AIAA journal, Vol. 41, Number 9, pp. 1808-1818, 2003 (ISNN 0001-1452).
Eiben, A. E. & Smith, J.E. Introduction to evolutionary computing. Berlin: Springer, 2003.
Galski, R. L. Desenvolvimento de versões aprimoradas híbridas, paralela e multiobjetivo do método da otimização extrema generalizada e sua aplicação no projeto de sistemas espaciais. 2006-09-22. 279 p. (INPE-14795-TDI/1238). Doctor Tesis - Instituto Nacional de Pesquisas Espaciais, São José dos Campos. 2006.
Mainenti-Lopes, I., 2008, “Satellite Attitude Control of Rigid-Flexible Satellite Using the Generalized Extremal Optimization with a Multi-Objective Approach (in portuguese)”, Master Thesis, Nacional Institute for Space Research (INPE).
Mainenti-Lopes, I. 2013. An approach for multi-objective optimization solar sail trajectories. Doctor thesis (in portuguese), INPE, São José dos Campos.
Mainenti-Lopes, I., Souza, L . C . G ., De Sousa F . L . Application of Generalized Extremal Optimization (GEO) Technique to Design the Orbit Transfer Solar Sail Control System. Engineering Optimization 2014. CRC Press 2014. Pages 219”“224. Print ISBN: 978-1-138-02725-1. eBook ISBN: 978-1-315-73210-7. DOI: 10.1201/b17488-41.
Mainenti-Lopes, I., Souza, L . C . G ., De Sousa F . L . 2015 A multi-objective optimization of a solar sailcraft trajectory in an Earth-Mars transfer using an evolutionary algorithm In: CILAMCE2015 - XXXVI Ibero-Latin American Congress on Computational Methods in Engineering, 2015, Rio de Janeiro.
Wie, B., Murph, D., 2007. Solar-Sail Attitude Control Design for a Sail Flight Validation Mission. JOURNAL OF SPACECRAFT AND ROCKETS Vol. 44, No. 4, July”“August 2007 DOI: 10.2514/1.22996
Downloads
Published
How to Cite
Issue
Section
License
Given the public access policy of the journal, the use of the published texts is free, with the obligation of recognizing the original authorship and the first publication in this journal. The authors of the published contributions are entirely and exclusively responsible for their contents.
1. The authors authorize the publication of the article in this journal.
2. The authors guarantee that the contribution is original, and take full responsibility for its content in case of impugnation by third parties.
3. The authors guarantee that the contribution is not under evaluation in another journal.
4. The authors keep the copyright and convey to the journal the right of first publication, the work being licensed under a Creative Commons Attribution License-BY.
5. The authors are allowed and stimulated to publicize and distribute their work on-line after the publication in the journal.
6. The authors of the approved works authorize the journal to distribute their content, after publication, for reproduction in content indexes, virtual libraries and similars.
7. The editors reserve the right to make adjustments to the text and to adequate the article to the editorial rules of the journal.