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Development of Multi-Quadrotor Simulator Based on Real-Time Hypervisor Systems

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dc.contributor.authorFathoni, Muhammad Faris-
dc.contributor.authorLee, Seonah-
dc.contributor.authorKim, Yoonsoo-
dc.contributor.authorKim, Ki-Il-
dc.contributor.authorKim, Kyong Hoon-
dc.date.accessioned2022-12-26T10:01:15Z-
dc.date.available2022-12-26T10:01:15Z-
dc.date.issued2021-09-
dc.identifier.issn2504-446X-
dc.identifier.issn2504-446X-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/3353-
dc.description.abstractToday, simulator technology has been widely used as an important part of quadrotor development such as validation and testing. A good quadrotor simulator can simulate the quadrotor system as closely as possible to the real one. Therefore, in case of multi-quadrotor simulator, the simulator should not only can simulate a multi-quadrotor system, but also every quadrotor should be able to leverage their own resources. To solve this issues, in this paper, we present a hypervisor-based multi-quadrotor simulator. We used RT-Xen as hypervisor, a real-time Xen hypervisor. To ensure every quadrotor runs in real-time manner, we implemented quadrotor simulator in Litmus-RT which is a real-time extension of Linux. In this paper, we conducted some testing and performance evaluation for particular cases on our multi-quadrotor simulator: step-input responses, computation time, and response times. Based on the performance evaluation, our hypervisor-based multi-quadrotor simulator environment is proven to meet the real-time requirements. The results show that three important tasks in quadrotor system: Stability Controllability Augmented System (SCAS), Equation of Motion (EOM), and waypoint following task, are finished before their deadlines; in fact, 20 ms, 10 ms, and 40 ms before the deadlines for SCAS, EOM, and waypoint following, respectively.-
dc.language영어-
dc.language.isoENG-
dc.publisherMDPI-
dc.titleDevelopment of Multi-Quadrotor Simulator Based on Real-Time Hypervisor Systems-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/drones5030059-
dc.identifier.scopusid2-s2.0-85110831314-
dc.identifier.wosid000700220100001-
dc.identifier.bibliographicCitationDRONES, v.5, no.3-
dc.citation.titleDRONES-
dc.citation.volume5-
dc.citation.number3-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaRemote Sensing-
dc.relation.journalWebOfScienceCategoryRemote Sensing-
dc.subject.keywordAuthorreal-time simulator-
dc.subject.keywordAuthormulti-quadrotor simulator-
dc.subject.keywordAuthorhypervisor-
dc.subject.keywordAuthorwaypoint following-
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