Integrated optimization of planetary rover layout and exploration routes

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This article introduces an optimization framework for the integrated design of a planetary surface rover and its exploration route that is applicable to the initial phase of a planetary exploration campaign composed of multiple surface missions. The scientific capability and the mobility of a rover are modelled as functions of the science weight fraction, a key parameter characterizing the rover. The proposed problem is formulated as a mixed-integer nonlinear program that maximizes the sum of profits obtained through a planetary surface exploration mission by simultaneously determining the science weight fraction of the rover, the sites to visit and their visiting sequences under resource consumption constraints imposed on each route and collectively on a mission. A solution procedure for the proposed problem composed of two loops (the outer loop and the inner loop) is developed. The results of test cases demonstrating the effectiveness of the proposed framework are presented.
Publisher
TAYLOR & FRANCIS LTD
Issue Date
2018-01
Language
English
Article Type
Article
Keywords

MAXIMUM COLLECTION PROBLEM; COLUMN GENERATION

Citation

ENGINEERING OPTIMIZATION, v.50, no.1, pp.164 - 182

ISSN
0305-215X
DOI
10.1080/0305215X.2017.1299718
URI
http://hdl.handle.net/10203/228655
Appears in Collection
AE-Journal Papers(저널논문)
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