Fuzzy Fault Tolerant Control for wind energy system subject to parameters uncertainties and unknown inputs

• Published in: 2012 20th Mediterranean Conference on Control and Automation pp. 1171 - 1176
• Main Authors: Kamal, E., Aitouche, A., Ghorbani, R., Bayart, M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2012
• Subjects: FDI; FTC; Fuzzy Observer; LMIs; Mathematical model; Nonlinear systems; Observers; parameter uncertainties; Rotors; Sensor Faults; Stability analysis; TS Fuzzy Controller; TS Fuzzy Model; Uncertain systems; Uncertainty; WES
• ISBN: 9781467325301; 1467325309
• DOI: 10.1109/MED.2012.6265797

This paper addresses stability analysis for a class of nonlinear systems with sensor faults and unknown inputs in the presence of parameter uncertainties and a method for designing robust fuzzy Fault Tolerant Controllers (FTC) to stabilize the uncertain nonlinear faulty systems. New stability conditions for a generalized class of uncertain faulty systems are derived from robust FTC control techniques such as Linear Matrix Inequalities (LMIs) and Linear Matrix Equations (LMEs). The derived stability conditions are used to analyze the stability of TS fuzzy control systems with parameters uncertainties, sensor faults and unknown inputs which can be regarded as a generalized class of uncertain nonlinear faulty systems. The design method employs the so-called Parallel Distributed Compensation (PDC). Important issues for the stability analysis and design are remarked. Finally, Wind Energy Systems (WES) with a Doubly-Fed Induction Generator (DFIG) example is illustrated to show the effectiveness of the proposed design method.