Combined Signal and Model-Based Sensor Fault Diagnosis for a Doubly Fed Induction Generator

• Published in: IEEE transactions on control systems technology Vol. 21; no. 5; pp. 1771 - 1783
• Main Authors: Boulkroune, Boulaid, Galvez-Carrillo, Manuel, Kinnaert, Michel
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2013; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Additives; Algorithms; doubly fed induction generator (DFIG); Fault detection; fault detection and isolation (FDI); Faults; generalized likelihood ratio; generalized observer scheme (GOS); Mathematical analysis; Observers; Rotors; Sensors; Stators; Studies; three-phase signal; Uncertainty; Vectors; Vectors (mathematics); {\cal H}_{{\_}}/{\cal H}_{\infty} filter

The problem of multiplicative and/or additive fault detection and isolation (FDI) in the current sensors of a doubly fed induction generator (DFIG) is considered in the presence of model uncertainty. A residual generator based on the DFIG model is proposed using the structure of the classical genera...