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An active fault tolerant control approach to an offshore wind turbine model

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  • Shi, Fengming
  • Patton, Ron

Abstract

The paper proposes an observer based active fault tolerant control (AFTC) approach to a non-linear large rotor wind turbine benchmark model. A sensor fault hiding and actuator fault compensation strategy is adopted in the design. The adapted observer based AFTC system retains the well-accepted industrial controller as the baseline controller, while an extended state observer (ESO) is designed to provide estimates of system states and fault signals within a linear parameter varying (LPV) descriptor system context using linear matrix inequality (LMI). In the design, pole-placement is used as a time-domain performance specification while H∞ optimization is used to improve the closed-loop system robustness to exogenous disturbances or modelling uncertainty. Simulation results show that the proposed scheme can easily be viewed as an extension of currently used control technology, with the AFTC proving clear “added value” as a fault tolerant system, to enhance the sustainability of the wind turbine in the offshore environment.

Suggested Citation

  • Shi, Fengming & Patton, Ron, 2015. "An active fault tolerant control approach to an offshore wind turbine model," Renewable Energy, Elsevier, vol. 75(C), pages 788-798.
    • Handle: RePEc:eee:renene:v:75:y:2015:i:c:p:788-798
    DOI: 10.1016/j.renene.2014.10.061
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    References listed on IDEAS

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    1. Gálvez-Carrillo, Manuel & Kinnaert, Michel, 2011. "Sensor fault detection and isolation in doubly-fed induction generators accounting for parameter variations," Renewable Energy, Elsevier, vol. 36(5), pages 1447-1457.
    2. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
    3. Kamal, E. & Aitouche, A., 2013. "Robust fault tolerant control of DFIG wind energy systems with unknown inputs," Renewable Energy, Elsevier, vol. 56(C), pages 2-15.
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    Cited by:

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    2. Habibi, Hamed & Howard, Ian & Simani, Silvio, 2019. "Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review," Renewable Energy, Elsevier, vol. 135(C), pages 877-896.
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    7. Lei Wang & Ming Cai & Hu Zhang & Fuad Alsaadi & Liu Chen, 2017. "Active Fault-Tolerant Control for Wind Turbine with Simultaneous Actuator and Sensor Faults," Complexity, Hindawi, vol. 2017, pages 1-11, December.
    8. Hur, S. & Recalde-Camacho, L. & Leithead, W.E., 2017. "Detection and compensation of anomalous conditions in a wind turbine," Energy, Elsevier, vol. 124(C), pages 74-86.
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    11. Azizi, Askar & Nourisola, Hamid & Shoja-Majidabad, Sajjad, 2019. "Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller," Renewable Energy, Elsevier, vol. 135(C), pages 55-65.
    12. Afef Fekih & Hamed Habibi & Silvio Simani, 2022. "Fault Diagnosis and Fault Tolerant Control of Wind Turbines: An Overview," Energies, MDPI, vol. 15(19), pages 1-21, September.
    13. Silvio Simani, 2015. "Overview of Modelling and Advanced Control Strategies for Wind Turbine Systems," Energies, MDPI, vol. 8(12), pages 1-24, November.
    14. Li, Jianshen & Wang, Shuangxin, 2021. "Dual multivariable model-free adaptive individual pitch control for load reduction in wind turbines with actuator faults," Renewable Energy, Elsevier, vol. 174(C), pages 293-304.

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