Fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation
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...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
MDPI
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/80585 |
| _version_ | 1848764239240495104 |
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| author | Habibi, Hamed Nohooji, H.R. Howard, Ian Simani, S. |
| author_facet | Habibi, Hamed Nohooji, H.R. Howard, Ian Simani, S. |
| author_sort | Habibi, Hamed |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:16:12Z |
| format | Journal Article |
| id | curtin-20.500.11937-80585 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:16:12Z |
| publishDate | 2019 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-805852021-01-07T07:46:47Z Fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation Habibi, Hamed Nohooji, H.R. Howard, Ian Simani, S. Science & Technology Technology Energy & Fuels adaptive constrained control barrier Lyapunov function fault-tolerant control Nussbaum-type function pitch actuator power regulation robustness evaluation CONTROL STRATEGIES PID CONTROL SYSTEMS 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. 2019 Journal Article http://hdl.handle.net/20.500.11937/80585 10.3390/en12244712 English http://creativecommons.org/licenses/by/4.0/ MDPI fulltext |
| spellingShingle | Science & Technology Technology Energy & Fuels adaptive constrained control barrier Lyapunov function fault-tolerant control Nussbaum-type function pitch actuator power regulation robustness evaluation CONTROL STRATEGIES PID CONTROL SYSTEMS Habibi, Hamed Nohooji, H.R. Howard, Ian Simani, S. Fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation |
| title | Fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation |
| title_full | Fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation |
| title_fullStr | Fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation |
| title_full_unstemmed | Fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation |
| title_short | Fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation |
| title_sort | fault-tolerant neuro adaptive constrained control of wind turbines for power regulation with uncertain wind speed variation |
| topic | Science & Technology Technology Energy & Fuels adaptive constrained control barrier Lyapunov function fault-tolerant control Nussbaum-type function pitch actuator power regulation robustness evaluation CONTROL STRATEGIES PID CONTROL SYSTEMS |
| url | http://hdl.handle.net/20.500.11937/80585 |