Fault Detection and Isolation in DFIG Driven by a Wind Turbine

Abstract This paper presents a new approach to detect and isolate the current sensor faults, a doubly fed induction generator (DFIG) for a wind turbine application. And to detect the variable resistance faults. A method using an unknown input of multiple observers described via Takagi-Sugeno (T-S) multiple models. A bank of multiple observers scheme (DOS) generates a set of residuals for detection and isolation of sensor faults which can affect a TS model. A decision system is used to the process the residual vector to detection and isolation faults. The stability and the performance of the multiple models are formulated in terms of Linear Matrix Inequalities (LMIs). The approach is validated using Matlab software to modeling and simulation of a DFI°∗

[1]  Michel Verhaegen,et al.  Sensor Fault Diagnosis of Wind Turbines for Fault Tolerant , 2008 .

[2]  Abdul Azim Sobaih,et al.  An intelligent maximum power extraction algorithm for hybrid wind–diesel-storage system , 2010 .

[3]  Friedrich Wilhelm Fuchs,et al.  Doubly Fed Induction Generator Model-Based Sensor Fault Detection and Control Loop Reconfiguration , 2009, IEEE Transactions on Industrial Electronics.

[4]  Dimitri Lefebvre,et al.  Doubly fed induction generator fault diagnosis using unknown input Takagi-Sugeno observer , 2013, 2013 International Conference on Control, Decision and Information Technologies (CoDIT).

[5]  Jakob Stoustrup,et al.  Linear parameter varying control of wind turbines covering both partial load and full load conditions , 2009 .

[6]  Abdel Aitouche,et al.  Unknown Input Observer with Fuzzy Fault Tolerant Control for Wind Energy System , 2012 .

[7]  Houcine Chafouk,et al.  Fault detection and isolation using Kalman filter bank for a wind turbine generator , 2011, 2011 19th Mediterranean Conference on Control & Automation (MED).

[8]  José Ragot,et al.  Soft Computing Approach for Data Validation , 2007, J. Aerosp. Comput. Inf. Commun..

[9]  Peter Fogh Odgaard,et al.  Fault isolation in parallel coupled wind turbine converters , 2010, 2010 IEEE International Conference on Control Applications.

[10]  Peter Fogh Odgaard,et al.  Unknown Input Observer Based Scheme for Detecting Faults in a Wind Turbine Converter , 2009 .

[11]  Pierre Borne,et al.  Switching LPV Controllers for a Variable Speed Pitch Regulated Wind Turbine , 2006 .

[12]  Michel Kinnaert,et al.  Sensor fault detection and isolation in doubly-fed induction generators accounting for parameter variations , 2011 .

[13]  Kanungo Barada Mohanty,et al.  Doubly-Fed Induction Generator for Variable Speed Wind Energy Conversion Systems- Modeling & Simulation , 2010 .