Parameter-varying modelling and fault reconstruction for wind turbine systems

Hui Shao, Zhiwei Gao, Xiaoxu Liu, Krishna Busawon

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)
10 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)145-152
Number of pages8
JournalRenewable Energy
Issue numberB
Early online date29 Aug 2017
Publication statusPublished - Feb 2018


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