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.
Original language | English |
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Title of host publication | Proceedings of the 2016 IEEE 14th International Conference on Industrial Informatics (INDIN) |
Publisher | IEEE |
Pages | 492-495 |
ISBN (Print) | 978-1-5090-2870-2 |
DOIs | |
Publication status | Published - 19 Jan 2017 |
Event | 14th International Conference on Industrial Infomatics (INDIN 2016) - Poitiers, France Duration: 19 Jan 2017 → … |
Conference
Conference | 14th International Conference on Industrial Infomatics (INDIN 2016) |
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Period | 19/01/17 → … |
Keywords
- robust fault reconstruction
- Wind turbines
- Takagi-Sugeno fuzzy model