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.
|Title of host publication||Proceedings of the 2016 IEEE 14th International Conference on Industrial Informatics (INDIN)|
|Publication status||Published - 19 Jan 2017|
|Event||14th International Conference on Industrial Infomatics (INDIN 2016) - Poitiers, France|
Duration: 19 Jan 2017 → …
|Conference||14th International Conference on Industrial Infomatics (INDIN 2016)|
|Period||19/01/17 → …|