Active Fault-Tolerant Control for Wind Turbine with Simultaneous Actuator and Sensor Faults

Abstract

The purpose of this paper is to show a novel fault-tolerant tracking control (FTC) strategy with robust fault estimation and compensating for simultaneous actuator sensor faults. Based on the framework of fault-tolerant control, developing an FTC design method for wind turbines is a challenge and, thus, they can tolerate simultaneous pitch actuator and pitch sensor faults having bounded first time derivatives. The paper’s key contribution is proposing a descriptor sliding mode method, in which for establishing a novel augmented descriptor system, with which we can estimate the state of system and reconstruct fault by designing descriptor sliding mode observer, the paper introduces an auxiliary descriptor state vector composed by a system state vector, actuator fault vector, and sensor fault vector. By the optimized method of LMI, the conditions for stability that estimated error dynamics are set up to promote the determination of the parameters designed. With this estimation, and designing a fault-tolerant controller, the system’s stability can be maintained. The effectiveness of the design strategy is verified by implementing the controller in the National Renewable Energy Laboratory’s 5-MW nonlinear, high-fidelity wind turbine model (FAST) and simulating it in MATLAB/Simulink.

Wind turbine asymmetrical load reduction with pitch sensor fault compensation

“…Several research papers are proposed to deal with the WT pitch sensor faults using model‐based fault detection or FTC methods . The research by Cho et al proposes a Kalman filter‐based fault detection scheme using linear matrix inequality (LMI)‐based residual evaluation for blade pitch actuator and sensor fault scenarios.…”

“…A robust fault reconstruction strategy for pitch system faults using a modified sliding mode observer is shown to have good FE accuracy in the work of Rahnavard et al The model used for the above studies is the WT benchmark model, which does not include the aeroelastic codes used in the NREL Fatigue, Aerodynamics, Structure and Turbulence (FAST) WT simulator and does not therefore have the required rotor system environment needed for IPC validation. A fault‐tolerant tracking control system with a sliding mode observer for simultaneous WT pitch actuator/sensor FE and compensation is proposed by Wang et al However, these strategies, except that of Bahidi and Zhang, are validated only in the so‐called baseline pitch control case without any verification in the IPC case. Therefore, this paper proposes a robust unknown input observer (UIO)‐based FE system for pitch sensor fault compensation in the presence of measurement noise and unmodelled system uncertainties.…”

Energy Recovery Strategy Numerical Simulation for Dual Axle Drive Pure Electric Vehicle Based on Motor Loss Model and Big Data Calculation

“…The advantages of zero emission and zero pollution for electric vehicles have increasingly become the key supportive development direction for major automotive countries [2,3]. The difference between electric cars and traditional cars is due to the use of batteries as energy sources.…”

Multiplicative Fault Estimation‐Based Adaptive Sliding Mode Fault‐Tolerant Control Design for Nonlinear Systems

“…The main challenge of active FTC is to conceive a robust controller such that the closed-loop system is stable with acceptable performances even with the presence simultaneously of faults and uncertainties. In the literature, several approaches have been proposed to explore this powerful issue (see for instance [1][2][3][4][5][6] and the references herein). In practical applications, most of the systems are complex and usually having hard nonlinearities, so it is significant to study FE and FTC for nonlinear systems.…”