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

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jul 2016Publisher:IEEEJournal:2016 IEEE 14th International Conference on Industrial Informatics (INDIN)

Authors: Hui Shao; Zhiwei Gao 0001; Krishna Busawon;

doi: 10.1109/indin.2016.7819206

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

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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.

Related Organizations

Northumbria University
United Kingdom
Huaqiao University
China (People's Republic of)

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