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Stochastic optimization of asteroid three-dimensional trajectory transfer
Institute for Aerospace Studies, University of Toronto, Toronto, Ontario, Canada.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.ORCID iD: 0000-0003-4977-6339
2018 (English)In: Acta Astronautica, ISSN 0094-5765, E-ISSN 1879-2030, Vol. 152, p. 705-718Article in journal (Refereed) Published
Abstract [en]

In this work, an approach to designing near-optimal nonplanar transfer trajectories for asteroids is introduced, taking into account the uncertainty in asteroid parameters. The approach is demonstrated using a specific known Near-Earth Asteroid (NEA) as a model for the transfer scenario. The designed trajectory redirects the NEA from its current orbit about the Sun to a new orbit in the Earth-Moon system. The approach utilizes a low-thrust redirection method, namely the ion beam method, to execute the transfer; however, the work can be extrapolated to most low-thrust redirection methods. Asteroid parameters, such as absolute magnitude, albedo and density, are modelled, and a Monte Carlo analysis is employed to investigate the redirection maneuver in light of the expected variation in parameters. The trajectory transfer is modelled in three dimensions through the use of pseudo-equinoctial shaping, and is subsequently optimized. Due to the large design space created by the 21 decision variables, the optimization is parsed into two main steps; first, a global optimization that employs a genetic algorithm, followed by a local optimization that utilizes sequential quadratic programming to refine the result from the global optimization. Lastly, the results of the Monte Carlo analysis for the near-optimal trajectory transfer of the NEA are discussed.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 152, p. 705-718
Keywords [en]
Low-thrust trajectory design, Asteroid redirection, Uncertainty quantification
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Onboard space systems
Identifiers
URN: urn:nbn:se:ltu:diva-70898DOI: 10.1016/j.actaastro.2018.09.009ISI: 000449235500069Scopus ID: 2-s2.0-85054175082OAI: oai:DiVA.org:ltu-70898DiVA, id: diva2:1249516
Note

Validerad;2018;Nivå 2;2018-11-21 (johcin) 

Available from: 2018-09-19 Created: 2018-09-19 Last updated: 2019-04-24Bibliographically approved

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Emami, Reza

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