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

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.

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

• Acceptance Date: Oct 23, 2014
• Online Publication Date: Nov 14, 2014
• Publication Date: Mar 1, 2015
• Deposit Date: Sep 24, 2015
• Publicly Available Date: Nov 23, 2017
• Journal: Renewable energy
• Print ISSN: 0960-1481
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 75
• Issue: March
• Pages: 788-798
• 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
• Public URL: https://hull-repository.worktribe.com/output/379283
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S0960148114006880
• Additional Information: Author's accepted manuscript of article published in: Renewable energy, 2015, v.15, March.
• Contract Date: Nov 23, 2017