Hosseinabadi, Pooyan Alinaghi and Abadi, Ali Soltani Sharif and Mekhilef, Saad (2022) Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties. International Journal of Automation and Control, 16 (3-4). 255 – 271. ISSN 1740-7516,
Full text not available from this repository.Abstract
In this paper, a new finite-time robust controller is designed for the ship heading (course) control systems with unknown mismatched external disturbances and uncertainties to fulfil trajectory tracking task. The adaptive method is utilised to estimate the upper bound of these mismatched disturbances and uncertainties. Meanwhile, the fuzzy logic is employed to enhance the tracking performance. In short, the fuzzy controller, adaptive, finite-time stability concepts and sliding mode control (SMC) scheme have been incorporated to propose fuzzy adaptive finite-time SMC (FAFSMC) scheme to utilise their benefits and to compensate the shortages of applying them individually. The finite-time stability analysis is investigated by utilising the Lyapunov stability theory. The simulation results are carried out for the proposed fuzzy scheme and five other existing non-fuzzy schemes including simple, classical, cubic, hexagonal, and switching to reveal the effectiveness of the proposed scheme compared to the other five schemes. Copyright © 2022 Inderscience Enterprises Ltd.
| Item Type: | Article |
|---|---|
| Funders: | Ministry of Higher Education, Malaysia under Large Research Grant Scheme (LRGS), University of Malaya, Malaysia (Grant No: LR008-2019 (LRGS/1/2019/UKM/01/6/3) & IIRG011A-2019), Ministry of International Trade and Industry (MITI), Malaysia through MIDF under High sValue-Added and Complex Product Development and Market Program (Grant No: GA016-2019) |
| Additional Information: | Cited by: 3 |
| Uncontrolled Keywords: | Adaptive control systems; Controllers; Fuzzy logic; Ships; Uncertainty analysis; Adaptive; Finite-time; Fuzzy; Fuzzy adaptive; Lyapunov; Mismatched uncertainty; Robust; Sliding-mode control; Trajectory-tracking; Sliding mode control |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 20 Oct 2023 04:02 |
| Last Modified: | 20 Oct 2023 04:02 |
| URI: | http://eprints.um.edu.my/id/eprint/43380 |
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