Parameter-varying modelling and fault reconstruction for wind turbine systems

Shao, Hui, Gao, Zhiwei, Liu, Xiaoxu and Busawon, Krishna (2018) Parameter-varying modelling and fault reconstruction for wind turbine systems. Renewable Energy, 116 (B). pp. 145-152. ISSN 0960-1481

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Official URL: https://doi.org/10.1016/j.renene.2017.08.083

Abstract

In this paper, parameter-varying technique is firstly addressed for modelling a 4.8 MW wind turbine system which is nonlinear in essence. It is worthy to point out that the proposed parameter-varying model is capable of describing a nonlinear real-time process by using real-time system parameter updating. Secondly, fault reconstruction approach is proposed to reconstruct system component fault and actuator fault by utilizing augmented adaptive observer technique with parameter-varying. Different from the offline tuning adaptive scheme, the proposed adaptive observer includes adaptive tuning ability to online adjust the observer based on varying parameter. The effectiveness of the proposed parameter-varying modelling and fault reconstruction methods is demonstrated by using a widely-recognized 4.8 MW wind turbine benchmark system.

Item Type: Article
Uncontrolled Keywords: Adaptive observer, Fault diagnosis, Fault reconstruction, Parameter-varying modeling, Wind turbine systems
Subjects: H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Becky Skoyles
Date Deposited: 03 Oct 2017 15:22
Last Modified: 12 Apr 2018 17:14
URI: http://nrl.northumbria.ac.uk/id/eprint/32224

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