1. Fault-Tolerant Control for Actuator Faults of Wind Energy Conversion System
- Author
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You Guodong, Jisheng Li, Su Honglin, Xiaoxin Hou, and Xu Tao
- Subjects
Lyapunov function ,Control and Optimization ,Observer (quantum physics) ,Computer science ,020209 energy ,Mathematics::Classical Analysis and ODEs ,Energy Engineering and Power Technology ,parameter uncertainty ,02 engineering and technology ,T-S fuzzy ,lcsh:Technology ,Fuzzy logic ,Computer Science::Robotics ,symbols.namesake ,Control theory ,Computer Science::Systems and Control ,actuator failure ,0202 electrical engineering, electronic engineering, information engineering ,Electrical and Electronic Engineering ,Engineering (miscellaneous) ,Mathematics::Commutative Algebra ,lcsh:T ,Renewable Energy, Sustainability and the Environment ,Induction generator ,Fault tolerance ,fault-tolerant control ,Nonlinear system ,symbols ,020201 artificial intelligence & image processing ,Actuator ,WECS ,Energy (miscellaneous) - Abstract
The problem of robust fault-tolerant control for actuators of nonlinear systems with uncertain parameters is studied in this paper. Takagi&ndash, 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).
- Published
- 2019
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