Takagi-Sugeno fuzzy modelling and robust fault reconstruction for wind turbine systems

Liu, Xiaoxu and Gao, Zhiwei (2017) Takagi-Sugeno fuzzy modelling and robust fault reconstruction for wind turbine systems. In: Proceedings of the 2016 IEEE 14th International Conference on Industrial Informatics (INDIN). IEEE, pp. 492-495. ISBN 978-1-5090-2870-2

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Abstract

In this study, a robust fault reconstruction approach is proposed for the 4.8 MW wind turbine benchmark system. Firstly, through weighted combination of a number of locally valid linear systems, the nonlinear wind turbine model is well represented by a Takagi-Sugeno fuzzy model. Then, augmented system approach jointly with unknown input fuzzy observer technique are utilized to estimate faults and system states simultaneously, while decouple a part of unknown inputs which consist both system perturbations and Takagi-Sugeno modelling errors. After that, linear matrix inequality approach is used to ensure convergence of estimation error and attenuate the influences from un-decoupled unknown inputs. Finally, the proposed algorithms are demonstrated to be effective by using the 4.8 MW wind turbine benchmark system.

Item Type:	Book Section
Uncontrolled Keywords:	robust fault reconstruction, Wind turbines, Takagi-Sugeno fuzzy model
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Ay Okpokam
Date Deposited:	25 Jan 2017 14:38
Last Modified:	12 Oct 2019 19:21
URI:	http://nrl.northumbria.ac.uk/id/eprint/29354

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