Abstract
This paper studies the fault-tolerant control problem of uncertain doubly-fed wind turbine generation systems with sensor faults. Considering the uncertainty of the system, a fault-tolerant control strategy based on a T-S fuzzy observer is proposed. The fuzzy observer is established based on the T-S fuzzy model of the uncertain nonlinear system. According to the comparison and analysis of residual between the state estimation of the fuzzy observer output and the measured value of the real sensor, a fault detection and isolation (FDI) based on T-S fuzzy observer is designed. Then by using a Parallel Distributed Compensation (PDC) method we design the robust fuzzy controller. Finally, the necessary and sufficient conditions for the stability of the closed-loop system are proved by quoting Lyapunov stability theory. The simulation results verify the effectiveness of the proposed control method.
Highlights
With the continuous progress of social economy, humans’ demands and dependence on energy have reached the commanding heights of history, and the development of green energy has become a topic of widespread concern around the world [1,2,3]
The sensor fault is taken as a function of time t, a deviation signal is applied to the output of the high-speed shaft motor speed sensor between t = 40 s and t = 80 s, as depicted in y(t) =
The study find that the proposed control strategy in the uncertain value of less than 50% has good fault tolerance effect, after that with the increase of the uncertainty parameter, the designed robust fuzzy controller is more and more difficult to compensate the effects of wind turbine generation system for sensor fault, for how to optimize the design of robust fuzzy controller to achieve better fault-tolerant control system performance will be the focus of our research
Summary
With the continuous progress of social economy, humans’ demands and dependence on energy have reached the commanding heights of history, and the development of green energy has become a topic of widespread concern around the world [1,2,3]. In the study of sensor faults in doubly-fed wind power generation systems, a fault-tolerant control strategy based on Kalman filter is studied in [10]. Reference [11] studied a fault diagnosis method for the high-speed shaft speed sensors of wind turbine generation systems by designing a fuzzy T-S system sliding mode observer, but no specific control method was given to compensate the reconstruction faults. Reference [17] established a complete wind turbine pitch model based on fuzzy theory, and designed a fuzzy proportional-integral-derivative (PID) controller to realize real-time control of wind energy systems. A fault tolerant control strategy based on a T-S fuzzy observer is studied for sensor faults of doubly-fed wind turbine generation systems. The feasibility of the proposed method is proved by quoting Lyapunov stability theory, and the simulation results further verify the effectiveness of the control method
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