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Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation

Lan, Jianglin; Patton, Ron J.; Zhu, Xiaoyuan


Jianglin Lan

Xiaoyuan Zhu


Wind turbine pitch systems are essential for actuating desired blade angles and hence to keep the generator at rated speed in operation region 3. In the presence of parametric pitch actuator faults, pitch systems may have slow dynamics, affecting the pitching performance with the possibility of oscillation on the generator speed and making the turbine system unstable and unsafe. This work proposes a strategy for compensating the pitch actuator faults to recover the nominal pitch dynamics. The proposed fault-tolerant control (FTC) scheme incorporates a traditional Proportional-Integral (PI) controller as baseline system to achieve nominal pitch performance, along with a fault compensator to eliminate the actuator fault effects. The approach is based on estimation of the pitch system states and fault indicator function using an adaptive step-by-step sliding mode observer, effectively handling the nonlinear fault distribution function with a simple design. The effectiveness of the design strategy is verified using a 4.8 MW benchmark wind turbine system.


Lan, J., Patton, R. J., & Zhu, X. (2018). Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation. Renewable energy, 116, 219-231.

Journal Article Type Article
Acceptance Date Dec 3, 2016
Online Publication Date Dec 8, 2016
Publication Date 2018-02
Deposit Date Aug 20, 2020
Journal Renewable Energy
Print ISSN 0960-1481
Electronic ISSN 1879-0682
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 116
Pages 219-231
Keywords Wind turbine pitch actuation; Parametric actuator faults; Fault estimation; Fault-tolerant control; Sliding mode observer
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Additional Information This article is maintained by: Elsevier; Article Title: Fault-tolerant wind turbine pitch control using adaptive sliding mode estimation; Journal Title: Renewable Energy; CrossRef DOI link to publisher maintained version:; Content Type: article; Copyright: © 2016 Elsevier Ltd. All rights reserved.