Abstract
The problem of robust fault-tolerant control for actuators of nonlinear systems with uncertain parameters is studied in this paper. Takagi–Sugeno (T-S) fuzzy model is used to describe the wind energy conversion system (WECS). Fuzzy dedicated observer (FDO) and fuzzy proportional integral observer (FPIO) are established to reconstruct the system state and actuator fault, respectively. Fuzzy Robust Scheduling Fault-Tolerant Controller (FRSFTC) is designed by parallel distributed compensation (PDC) method, so as to realize the purpose of active fault tolerance for actuator faults and ensure the robust stability of the system. The stability of the closed-loop system is proved by Taylor series, Lyapunov function, and Linear Matrix Inequalities (LMIs). Finally, the simulation results verify that the proposed method is feasible and effective applied to WECS with doubly fed induction generators (DFIG).
Highlights
With the development of science and technology, many high-level comprehensive complex nonlinear systems have been applied at a large scale
Fuzzy Robust Scheduling Fault-Tolerant Controller (FRSFTC) strategy can still reduce the fluctuation range of the system at low speed and high speed and between (a) and (b) when the parameter uncertainty Δ J g is within 50% of nominal value, the designed achieve a good fault-tolerance control effect
This paper presents the idea of robust fault-tolerant control based on system state estimation and fault reconstruction for parameter-uncertain nonlinear systems with actuator faults
Summary
With the development of science and technology, many high-level comprehensive complex nonlinear systems have been applied at a large scale. The results show that this method can improve the efficiency of wind energy capture; on the basis of the adaptive fault observer, a state feedback fault-tolerant controller was designed to ensure the good performance of the system in normal operation in case of failure [9]. A reliable hybrid H∞/passive control problem for T-S fuzzy time-delay systems was studied based on the semi-Markov jump model (SMJM) [16]; T-S model was used to describe the offshore wind power system, and proposing an active fault-tolerant tracking control method for sensor faults [17]; T-S modeling of doubly fed wind power system was carried out [18,19]. According to the estimated fault information, a robust scheduling fault-tolerant controller is designed by using parallel distributed compensation (PDC) method to realize real-time compensation for actuator faults of uncertain nonlinear systems. Simulation results further verify the proposed control strategy is reliability and effectiveness applied to WECS
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