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

Hui Shao, Zhiwei Gao, Krishna Busawon

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
DOIs
Publication statusPublished - 20 Jul 2016
EventINDIN 2016 - 14th IEEE International Conference on Industrial Informatics - Poitiers, France
Duration: 20 Jul 2016 → …

Conference

ConferenceINDIN 2016 - 14th IEEE International Conference on Industrial Informatics
Period20/07/16 → …

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