Journal article
Discrete‐time modified repetitive sliding mode control for uncertain linear systems
International Journal of Adaptive Control and Signal Processing
2021
Abstract
This article presents a design strategy and stability analysis of modified repetitive sliding mode controller for uncertain linear systems. A modified repetitive controller is adopted to simultaneously track and reject periodic signals. A discrete-time sliding mode controller is combined to compensate the slow response of repetitive control and to provide robustness against plant parameters uncertainties. Stability analysis is provided to prove boundedness of the proposed control law and the convergence of sliding function and the tracking error. Comparative simulation results demonstrate that the proposed method is able to accurately track reference signal and to reject disturbance with fast transient response. The results also indicate that the closed-loop system remains stable in the presence of plant parameter changes.
Details
- Title
- Discrete‐time modified repetitive sliding mode control for uncertain linear systems
- Authors/Creators
- E. Kurniawan (Author/Creator) - Indonesian Institute of SciencesH. Wang (Author/Creator) - Murdoch UniversityB.H. Sirenden (Author/Creator) - Indonesian Institute of SciencesJ.A. Prakosa (Author/Creator) - Indonesian Institute of SciencesH. Adinanta (Author/Creator) - Indonesian Institute of SciencesS. Suryadi (Author/Creator) - Indonesian Institute of Sciences
- Publication Details
- International Journal of Adaptive Control and Signal Processing
- Publisher
- Wiley
- Identifiers
- 991005543576907891
- Copyright
- © 2021 John Wiley & Sons Ltd.
- Murdoch Affiliation
- School of Engineering and Energy
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.29 Automation & Control Systems
- 4.29.104 Adaptive Control
- Web Of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic
- ESI research areas
- Engineering