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dc.contributor.authorHabibi, Hamed
dc.contributor.authorNohooji, H.R.
dc.contributor.authorHoward, Ian
dc.contributor.authorSimani, S.
dc.identifier.citationHabibi, H. and Nohooji, H.R. and Howard, I. and Simani, S. 2019. Fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation. Energies. 12 (24): Article No. 4712.

This paper presents a novel adaptive fault-tolerant neural-based control design for wind turbines with an unknown dynamic and unknown wind speed. By utilizing the barrier Lyapunov function in the analysis of the Lyapunov direct method, the constrained behavior of the system is provided in which the rotor speed, its variation, and generated power remain in the desired bounds. In addition, input saturation is also considered in terms of smooth pitch actuator bounding. Furthermore, by utilizing a Nussbaum-type function in designing the control algorithm, the unpredictable wind speed variation is captured without requiring accurate wind speed measurement, observation, or estimation. Moreover, with the proposed adaptive analytic algorithms, together with the use of radial basis function neural networks, a robust, adaptive, and fault-tolerant control scheme is developed without the need for precise information about the wind turbine model nor the pitch actuator faults. Additionally, the computational cost of the resultant control law is reduced by utilizing a dynamic surface control technique. The effectiveness of the developed design is verified using theoretical analysis tools and illustrated by numerical simulations on a high-fidelity wind turbine benchmark model with different fault scenarios. Comparison of the achieved results to the ones that can be obtained via an available industrial controller shows the advantages of the proposed scheme.

dc.subjectScience & Technology
dc.subjectEnergy & Fuels
dc.subjectadaptive constrained control
dc.subjectbarrier Lyapunov function
dc.subjectfault-tolerant control
dc.subjectNussbaum-type function
dc.subjectpitch actuator
dc.subjectpower regulation
dc.subjectrobustness evaluation
dc.subjectPID CONTROL
dc.titleFault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation
dc.typeJournal Article

© 2019 The Authors. Published by MDPI Publishing.

curtin.departmentSchool of Civil and Mechanical Engineering
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidHoward, Ian [0000-0003-3999-9184]
curtin.contributor.orcidHabibi, Hamed [0000-0002-7393-6235]
curtin.identifier.article-numberARTN 4712
curtin.contributor.scopusauthoridHoward, Ian [12808325800]
curtin.contributor.scopusauthoridHabibi, Hamed [55146571400]

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