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Reconfigurability in planetary surface vehicles
Authors:Afreen Siddiqi  Olivier L de Weck
Institution:1. CLAAS Hungaria Kft, Research and Development, Kombájn utca 1, H-5200 Törökszentmiklós, Hungary;2. Department of Automotive Technology, Institute of Process Engineering, Faculty of Mechanical Engineering, Szent István University, Páter K. u. 1., Gödöll? H-2103, Hungary;1. University of Mohaghegh Ardabili, Faculty of Agriculture and Natural Resources, Department of Biosystem Engineering, Ardabil, Iran;2. University of Urmia, Faculty of Agriculture, Department of Biosystem Mechanics, Urmia, Iran;1. Institute of Chemistry, State University of Campinas – UNICAMP, P.O. Box 6154, 13084-971 Campinas, SP, Brazil;2. Department of Pharmaceutics and Analytical Chemistry, Faculty of Pharmaceutical Sciences, University of Copenhagen, Universitetsparken 2, 2100 Copenhagen, Denmark;3. Department of Food Science, Faculty of Sciences, University of Copenhagen, Rolighedsvej 30, DK-1958 Frederiksberg C, Denmark;1. Moscow M.V., Lomonosov State University, Leninskie Gory, 1, Moscow 119992, Russia;2. Saint Petersburg State Polytechnical University, 29 Politechnicheskaya Str., 195251 St. Petersburg, Russia
Abstract:Traditionally, space systems have been built for fixed requirements and optimized for highest performance. Future systems for human exploration of Moon and Mars, however, require focus on new architectural strategies geared towards increased affordability and survivability in addition to performance. Reconfigurability is a new paradigm in system design that enhances these qualities. Reconfigurable systems can attain different states with new or modified capabilities, as required with changing needs, over time. Such systems can lower mission costs through mass savings by efficient use of a fixed set of hardware for multiple functions. Their survivability is improved through their ability to reconfigure into different states so that some level of over-all functionality is retained. This study, with a focus on planetary surface vehicles, presents a methodology for determining optimal designs of reconfigurable systems. It also proposes metrics for assessing the impact of reconfigurability. It is found that for the specific scenario considered, the mass utilization efficiency in a fleet of reconfigurable vehicles is increased by 27% while the survivability can be increased by a factor of 3.
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