Solar sail trajectory design for a multiple near-Earth asteroid rendezvous mission

Peloni, A. , Ceriotti, M. and Dachwald, B. (2016) Solar sail trajectory design for a multiple near-Earth asteroid rendezvous mission. Journal of Guidance, Control, and Dynamics, 39(12), pp. 2712-2724. (doi: 10.2514/1.G000470)

121058.pdf - Accepted Version



The scientific interest for near-Earth asteroids (NEAs) as well as the interest in potentially hazardous asteroids from the perspective of planetary defense led the space community to focus on NEA mission studies. A multiple NEA rendezvous mission with close-up observations of several objects can help to improve the characterization of these asteroids. This work explores the design of a solar-sail spacecraft for such a mission, focusing on the search of possible sequences of encounters and the trajectory optimization. This is done in two sequential steps: a sequence search by means of a simplified trajectory model and a set of heuristic rules based on astrodynamics, and a subsequent optimization phase. A shape-based approach for solar sailing has been developed and used for the first phase. The effectiveness of the proposed approach is demonstrated through a fully-optimized multiple NEA rendezvous mission. The results show that it is possible to visit 5 NEAs within 10 years with near-term solar-sail technology.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Ceriotti, Dr Matteo and Peloni, Mr Alessandro
Authors: Peloni, A., Ceriotti, M., and Dachwald, B.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Journal of Guidance, Control, and Dynamics
Publisher:American Institute of Aeronautics and Astronautics
ISSN (Online):1533-3884
Published Online:07 September 2016
Copyright Holders:Copyright © 2016 Alessandro Peloni, Matteo Ceriotti, and Bernd Dachwald
First Published:First published in Journal of Guidance, Control, and Dynamics 39(12): 2712-2724
Publisher Policy:Reproduced in accordance with the publisher copyright policy
Data DOI:10.5525/gla.researchdata.326

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