The Leader-Follower Formation Control of Nonholonomic Vehicle With Follower- Stabilizing Strategy

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dc.contributor.authorHan, Seunghoko
dc.contributor.authorYang, Seunghoonko
dc.contributor.authorLee, Yeongseokko
dc.contributor.authorLee, Minyoungko
dc.contributor.authorPark, Ji ilko
dc.contributor.authorKim, Kyung-Sooko
dc.date.accessioned2024-01-08T05:00:17Z-
dc.date.available2024-01-08T05:00:17Z-
dc.date.created2024-01-08-
dc.date.created2024-01-08-
dc.date.issued2024-01-
dc.identifier.citationIEEE ROBOTICS AND AUTOMATION LETTERS, v.9, no.1, pp.707 - 714-
dc.identifier.issn2377-3766-
dc.identifier.urihttp://hdl.handle.net/10203/317492-
dc.description.abstractThis letter proposes a follower-stabilizing strategy for leader-waypoint-follower nonholonomic vehicle formation control. The follower-stabilizing strategy consists of the follower-stabilizing area and the follower's velocity correction term. When the follower crosses the waypoint generated by the leader, its steering is susceptible to oscillation. To overcome this issue, the follower-stabilizing area around the waypoint is proposed such that the follower imitates the leader's heading angle as it enters the follower-stabilizing area. At the same time, the velocity correction term drives the follower to track the waypoint stably. The follower-stabilizing strategy is validated by various simulations, which confirm that the follower-stabilizing area effectively reduces steering oscillation and that the velocity correction term verifies stable waypoint tracking. Additionally, GPS and AHRS-based small-scale vehicles are built to demonstrate the proposed method by experiment. The CTRA model-based Kalman filter is designed for GPS and AHRS to estimate the agents' states, such as the heading angle and linear velocities.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleThe Leader-Follower Formation Control of Nonholonomic Vehicle With Follower- Stabilizing Strategy-
dc.typeArticle-
dc.identifier.wosid001117099300008-
dc.identifier.scopusid2-s2.0-85168745795-
dc.type.rimsART-
dc.citation.volume9-
dc.citation.issue1-
dc.citation.beginningpage707-
dc.citation.endingpage714-
dc.citation.publicationnameIEEE ROBOTICS AND AUTOMATION LETTERS-
dc.identifier.doi10.1109/lra.2023.3307010-
dc.contributor.localauthorKim, Kyung-Soo-
dc.contributor.nonIdAuthorLee, Minyoung-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorTrajectory-
dc.subject.keywordAuthorleader-follower-
dc.subject.keywordAuthorwaypoint-
dc.subject.keywordAuthorKalman filter-
dc.subject.keywordAuthorROS-
dc.subject.keywordAuthorGPS-
dc.subject.keywordAuthorAHRS-
dc.subject.keywordAuthorIMU-
dc.subject.keywordAuthorFormation control-
dc.subject.keywordPlusROBOTS-
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