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dc.citation.conferencePlace US -
dc.citation.conferencePlace Centre of the Fontainebleau in Miami BeachMiami -
dc.citation.endPage 5998 -
dc.citation.startPage 5993 -
dc.citation.title 57th IEEE Conference on Decision and Control -
dc.contributor.author Nguyen, Ngo Phong -
dc.contributor.author Kim, Wonhee -
dc.contributor.author Moon, Jun -
dc.date.accessioned 2024-02-01T00:40:27Z -
dc.date.available 2024-02-01T00:40:27Z -
dc.date.created 2018-12-20 -
dc.date.issued 2018-12-17 -
dc.description.abstract In this paper, we propose an observer-based super-twisting sliding mode control with fuzzy variable gains (OST-FVG) for general second-order nonlinear systems. First, the super-twisting observer with fuzzy variable gains is designed for state estimation, for which we show finite-time convergence of the estimation error to zero under the bounded disturbance. Then, together with the proposed observer, the sliding mode control with fuzzy variable gains is designed to ensure precise tracking control performance and to alleviate the chattering phenomenon. We apply the OSTFVG to the overactuated quadrotor modeled by the second-order nonlinear system within the quaternion framework, which resolves underactuation and singularity problems appeared in standard quadrotors. In simulation results of attitude and position control, the fuzzy mechanism implemented in the OSTFVG guarantees faster convergence of the quadrotor to the desired position and more precision tracking performance compared to the standard observer-based super-twisting sliding mode control. -
dc.identifier.bibliographicCitation 57th IEEE Conference on Decision and Control, pp.5993 - 5998 -
dc.identifier.doi 10.1109/CDC.2018.8619571 -
dc.identifier.scopusid 2-s2.0-85062175908 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/80261 -
dc.identifier.url https://ieeexplore.ieee.org/document/8619571 -
dc.language 영어 -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Observer-based Super-Twisting Sliding Mode Control with Fuzzy Variable Gains and Its Application to Overactuated Quadrotors -
dc.type Conference Paper -
dc.date.conferenceDate 2018-12-17 -

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