LPV modelling and LPV observer-based fault detection for wind turbine systems

Shao, Hui, Gao, Zhiwei and Busawon, Krishna (2016) LPV modelling and LPV observer-based fault detection for wind turbine systems. In: INDIN 2016 - 14th IEEE International Conference on Industrial Informatics, 19th - 21st July 2016, Poitiers, France.

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Abstract

In this paper, linear parameter varying (LPV) modelling technique is addressed for modelling a wind turbine system, with real-time changing scheduling parameters. Based on the LPV wind turbine model, a LPV observer-based fault detection method is utilized to detect faults under four scenarios. The effectiveness of the proposed modelling and fault detection techniques is demonstrated by using the widely-recognized wind turbine benchmark system.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User:	Dr Zhiwei Gao
Date Deposited:	25 Jan 2017 14:28
Last Modified:	12 Oct 2019 12:14
URI:	http://nrl.northumbria.ac.uk/id/eprint/29352

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