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

Shi, Fengming; Patton, Ron

Authors

Fengming Shi



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.

Publication Date Mar 1, 2015
Journal Renewable energy
Print ISSN 0960-1481
Electronic ISSN 1879-0682
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 75
Issue March
Pages 788-798
Institution Citation Shi, F., & Patton, R. (2015). An active fault tolerant control approach to an offshore wind turbine model. Renewable energy, 75(March), 788-798. https://doi.org/10.1016/j.renene.2014.10.061
DOI https://doi.org/10.1016/j.renene.2014.10.061
Keywords Wind turbine control; Active fault tolerant control; Fault estimation; Linear parameter varying systems; Closed-loop robustness
Publisher URL http://www.sciencedirect.com/science/article/pii/S0960148114006880
Copyright Statement © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Additional Information Author's accepted manuscript of article published in: Renewable energy, 2015, v.15, March.

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Copyright Statement
© 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/





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