Robust fuzzy scheduler fault tolerant control of wind energy systems subject to sensor and actuator faults

• Published in: International journal of electrical power & energy systems Vol. 55; pp. 402 - 419
• Main Authors: Kamal, Elkhatib, Aitouche, Abdel, ABBES, Dhaker
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.02.2014; Elsevier
• Subjects: Actuators; Applied sciences; Computer science; control theory; systems; Control; Control systems; Control theory. Systems; Direct energy conversion and energy accumulation; Electrical engineering. Electrical power engineering; Electrical machines; Electrical power engineering; Energy; Exact sciences and technology; Fault tolerance; Fault tolerant; Faults; Fuzzy; Fuzzy logic; Fuzzy set theory; Linear matrix inequality; Miscellaneous; Natural energy; Robotics; Robust; Sensor; Wind energy; Wind turbine; Fault tolerant; Linear matrix inequality; Control; Wind turbine; Robust; Sensor; Performance evaluation; Fuzzy system; Asynchronous generators; Measurement sensor; Lyapunov method; Control synthesis; Taylor series; Scheduling; Wind generator; Non linear system; Fuzzy control; Fault tolerance; Wind energy; Double supply machine; Effectiveness factor; Multivariable system; Fault tolerant system; Actuator
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2013.09.021

•This approach is an extension of the previous work [14].•TS fuzzy systems are classified into three families.•Design a fuzzy scheduler fault tolerant control for each family.•WECS is stable in presence of fault unknown input and parameter uncertainty.•Maximization of the power coefficient for a variable-speed WECS. In this paper, new robust fuzzy scheduler fault tolerant control is proposed to tackle multivariable nonlinear systems subject to sensor faults, actuator faults and parameter uncertainties. Takagi–Sugeno fuzzy model is employed to represent the nonlinear wind energy systems, and then a model-based fuzzy scheduler controller design use the concept of general-distributed compensation. Takagi–Sugeno fuzzy systems are classified into three families based on the input matrices and a fault tolerant control synthesis procedure is given for each family. In each family, sufficient conditions are derived for robust stabilization, in the sense of Lyapunov method and Taylor series stability, for the Takagi–Sugeno fuzzy system with parametric uncertainties, sensor faults, and actuator faults. The sufficient conditions are formulated in the format of linear matrix inequalities. The effectiveness of the proposed controller design methodology is finally demonstrated through a wind energy system with doubly fed induction generators to illustrate the effectiveness of the proposed method.