Simulation of Autonomous Grading of Lunar Surface

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dc.contributor.authorBettemir, Onder Halis
dc.date.accessioned2024-08-04T20:54:37Z
dc.date.available2024-08-04T20:54:37Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description10th International Conference on Recent Advances in Air and Space Technologies (RAST) -- JUN 07-09, 2023 -- Istanbul, TURKEYen_US
dc.description.abstractLunar missions of space agencies aim to set up permanent facilities on the surface of the Moon. Vast majority of the construction activities should be executed as unmanned because of the unsuitable habitat conditions of the Moon. In this study autonomous grading of Moon surface by an electric powered small scale dozer is examined. An autonomous grading algorithm is implemented for the grading task of a small region which is large enough to be an artifact base on the Moon. The autonomous grading algorithm takes rolling, tire penetration, grade, hauling of the earth pile, and cutting resistances into account. Gravity of the Moon is lower than the gravity of the Earth which causes skidding of the tires. The grading algorithm also takes the maximum applicable force and adjusts the earth pile in front of the dozer blade. Lead-acid battery powered and lithium-ion battery powered dozers are simulated in order to detect the efficiency of the construction machine. The simulation divides the excavation area into equal sized grids and computes the consumed time to work on each grid. The required force and the consumed energy are computed for each grid. The simulation iteratively updates the elevations of the grids and the iteration continues until the elevations of the grids become equal to the required elevation. Simulation revealed that lead-acid battery powered dozer is more suitable for the earthwork tasks on the Moon.en_US
dc.description.sponsorshipIEEE,NDU Turkish AF Acad,AIAA,AESS,IEEE Geoscience & Remote Sensing Soc,ISPRS,Univ Space Engn Consortium Global,Bayker,Rokestan,ALP Aviat,Aselsan,Bites,Havelsan,EHSIM,MIA Teknoloji,TEI,Turksat,Minist Natl Def Turkey,Turkish AF,Turkish Natl Def Univ,Turkish AF Acaden_US
dc.description.sponsorshipTUBITAK [110M396]en_US
dc.description.sponsorshipThis study is granted by TUBITAK with the grant no 110M396.en_US
dc.identifier.doi10.1109/RAST57548.2023.10197888
dc.identifier.isbn979-8-3503-2302-3
dc.identifier.scopus2-s2.0-85168421549en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/RAST57548.2023.10197888
dc.identifier.urihttps://hdl.handle.net/11616/101526
dc.identifier.wosWOS:001055074600056en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2023 10th International Conference on Recent Advances in Air and Space Technologies, Rasten_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectearthworken_US
dc.subjectautonomous gradingen_US
dc.subjectsimulationen_US
dc.subjectcutting forceen_US
dc.titleSimulation of Autonomous Grading of Lunar Surfaceen_US
dc.typeConference Objecten_US

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