Shi, Y, Li, S, Wang, S, Zhai, Y, Tian, Y and Yu, DL (2021) Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering. ISSN 0959-6518

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Abstract

To enhance the reliability of wind turbine generation systems that are generally located in the remote area and subjected to harsh environment, we design the pitch angle control for variable speed wind turbines with the function of fault diagnosis and fault tolerance. The main fault targeted in this research is the mechanical wear and possible break of the blade, pitch gear set or shaft, which cause shaft rotary friction change. The proposed method uses a disturbance observer to diagnose the fault. The estimated fault is used for component assessment and later maintenance. The fault-tolerant control is achieved using a full-order terminal sliding mode control combined with an adaptive neural network estimator. With the compensation of the adaptive estimator, the post-fault states can be driven onto the sliding surface and converge to a small area around the origin. The full-order terminal sliding mode control ensures the state convergence in finite time. The Lyapunov method is used to derive the control law, so that the closed-loop post-fault stability and the convergence of the adaptive estimator adaptation are both guaranteed. The computer simulations of the pitch angle control based on a 5-MW variable-speed variable-pitch angle wind turbine model are conducted with different types of fault simulated. A third-order nonlinear state space model with fault term is derived, and real physical parameters are applied in the simulations. The simulation results demonstrate the feasibility and effectiveness of the proposed scheme and the potential of real-world applications. © IMechE 2021.

Item Type:	Article
Additional Information:	Yiran Shi, Shoutao Li, Shuangxin Wang, Yujia Zhai, Yantao Tian, Ding-Li Yu, Pitch angle control with fault diagnosis and tolerance for wind turbine generation systems. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering. Copyright © 2021 Sage Pulications https://dx.doi.org/10.1177/0959651821993689
Uncontrolled Keywords:	01 Mathematical Sciences, 09 Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TD Environmental technology. Sanitary engineering T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions:	Engineering
Publisher:	Sage
Date Deposited:	16 Mar 2021 10:46
Last Modified:	04 Sep 2021 05:45
DOI or ID number:	10.1177/0959651821993689
URI:	https://researchonline.ljmu.ac.uk/id/eprint/14623

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