LAPSE:2023.19527
Published Article
LAPSE:2023.19527
Maximum Power Extraction from Wind Turbines Using a Fault-Tolerant Fractional-Order Nonsingular Terminal Sliding Mode Controller
March 9, 2023
Abstract
This work presents a nonlinear control approach to maximise the power extraction of wind energy conversion systems (WECSs) operating below their rated wind speeds. Due to nonlinearities associated with the dynamics of WECSs, the stochastic nature of wind, and the inevitable presence of faults in practice, developing reliable fault-tolerant control strategies to guarantee maximum power production of WECSs has always been considered important. A fault-tolerant fractional-order nonsingular terminal sliding mode control (FNTSMC) strategy to maximize the captured power of wind turbines (WT) subjected to actuator faults is developed. A nonsingular terminal sliding surface is proposed to ensure fast finite-time convergence, whereas the incorporation of fractional calculus in the controller enhances the convergence speed of system states and simultaneously suppresses chattering, resulting in extracted power maximisation by precisely tracking the optimum rotor speed. Closed-loop stability is analysed and validated through the Lyapunov stability criterion. Comparative numerical simulation analysis is carried out on a two-mass WT, and superior power production performance of the proposed method over other methods is demonstrated, both in fault-free and faulty situations.
Keywords
fault tolerant control, fractional nonsingular terminal sliding mode control, maximum power extraction, wind turbine
Suggested Citation
Mousavi Y, Bevan G, Küçükdemiral IB, Fekih A. Maximum Power Extraction from Wind Turbines Using a Fault-Tolerant Fractional-Order Nonsingular Terminal Sliding Mode Controller. (2023). LAPSE:2023.19527
Author Affiliations
Mousavi Y: Department of Applied Science, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK [ORCID]
Bevan G: Department of Applied Science, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK [ORCID]
Küçükdemiral IB: Department of Applied Science, School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow G4 0BA, UK [ORCID]
Fekih A: Electrical and Computer Engineering Department, University of Louisiana at Lafayette, P.O. Box 43890, Lafayette, LA 70504, USA [ORCID]
Journal Name
Energies
Volume
14
Issue
18
First Page
5887
Year
2021
Publication Date
2021-09-17
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14185887, Publication Type: Journal Article
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LAPSE:2023.19527
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https://doi.org/10.3390/en14185887
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