Actuator fault diagnosis and fault-tolerant control of wind turbines using a Takagi-Sugeno sliding mode observer

In this paper, the problems of fault estimation and fault-tolerant control for Takagi-Sugeno fuzzy system affected by simultaneous actuator faults, sensor faults and external disturbances are investigated. Firstly, an adaptive fuzzy sliding-mode observer is designed to simultaneously estimate system states and both actuator and sensor faults. Then, based on the online estimation information, a static output feedback fault-tolerant controller is designed to compensate for the effect of faults and to stabilize the closed-loop system. Moreover, sufficient conditions for the existence of the proposed observer and controller with an H∞ performance are derived based on Lyapunov stability theory and expressed in terms of linear matrix inequalities. Finally, a nonlinear inverted pendulum with cart system application is given illustrate the validity of the proposed method.

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Fault Tolerant Predictive Control Based on Discrete-Time Sliding Mode Observer for Quadrotor UAV

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2018.p0498 ◽

2018 ◽

Vol 22 (4) ◽

pp. 498-505

Author(s):

Qibao Shu ◽

◽

Pu Yang ◽

Yuxia Wang ◽

Ben Ma

Keyword(s):

Fault Diagnosis ◽

Predictive Control ◽

Discrete Time ◽

Active Fault ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Sliding Mode Observer ◽

Control Scheme ◽

The Impact

An active fault-tolerant control scheme for a quadrotor unmanned aerial vehicle (UAV) with actuators faults is presented in this paper. The proposed scheme is based on model predictive control (MPC) and the discrete-time sliding mode observer. Considering the impact of disturbances on fault diagnosis, a discrete-time sliding mode observer with simple structure and strong robustness against the disturbances is designed to isolate the actuator faults and estimate the control effectiveness factors accurately. Using the fault diagnosis information, a model predictive active fault tolerant controller with embedded integrator is proposed to compensate parameter uncertainty and bounded disturbances in the realistic control system of the quadrotor. The advantages of the proposed control scheme are the ability of dealing with the control constraints, improving the fault-tolerant control precision and getting better real-time and anti-interference performance. The algorithm comparison experimental results on the quadrotor semi-physical simulation platform validate the feasibility and effectiveness of the proposed control scheme.

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Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer

Energies ◽

10.3390/en12091695 ◽

2019 ◽

Vol 12 (9) ◽

pp. 1695 ◽

Cited By ~ 2

Author(s):

Qinyue Zhu ◽

Zhaoyang Li ◽

Xitang Tan ◽

Dabo Xie ◽

Wei Dai

Keyword(s):

Fault Diagnosis ◽

Control Strategy ◽

Active Fault ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Sliding Mode Observer ◽

Sensor Fault ◽

Active Fault Tolerant Control ◽

Drive Systems

Due to the use of multiple observers and controllers in multi-sensor fault-tolerant control of PMSM drive systems, the algorithm is complex and the system control performance is affected. In view of this, the paper studies multi-sensor fault diagnosis and active fault-tolerant control strategies based on a composite sliding mode observer. With the mathematical model of PMSM built, a design method of the composite sliding mode observer is proposed. A single observer is used to observe and estimate various state variables in the system in real time, which simplifies the implementation of observer-related algorithms. In order to improve the diagnostic accuracy of different types of sensors under different faults, a method for determining fault thresholds is proposed through global search for the maximum residual value. Based on this, a fault diagnosis and active fault-tolerant control strategy is proposed to realize fast switching and reconstruction of feedback signals of closed-loop control systems under different faults of multiple sensors, thus restoring the system performance. Finally, the effectiveness of the proposed algorithm and control strategy is verified by simulation experiments

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