Active Fault Tolerant Control Design for LPV Systems with Simultaneous Actuator and Sensor Faults

The present paper addresses the problem of robust active fault tolerant control (FTC) for uncertain linear parameter varying (LPV) systems with simultaneous actuator and sensor faults. First, fault estimation (FE) scheme is designed based on two adaptive sliding mode observers (SMO). Second, using the information of simultaneous system state, actuator, and sensor faults, two active FTC are conceived for LPV systems described with polytopic representation as state feedback control and sliding mode control. The stability of closed-loop systems is guaranteed by mean of H∞ performance; sufficient conditions of the proposed methods are derived in LMIs formulation. The performance effectiveness of FTC design is illustrated using a VTOL aircraft system with both sensor and actuator faults as well as disturbances. In addition, comparative simulations are provided to verify the benefits of the proposed methods.

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Active Fault Tolerant Control for Flexible Spacecraft with Sensor Faults Using Adaptive Integral Sliding Mode

Lecture Notes in Electrical Engineering - Proceedings of 2017 Chinese Intelligent Automation Conference ◽

10.1007/978-981-10-6445-6_3 ◽

2017 ◽

pp. 23-30

Author(s):

Zhifeng Gao ◽

Bing Han ◽

Moshu Qian ◽

Jing Zhao

Keyword(s):

Active Fault ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Flexible Spacecraft ◽

Sensor Faults ◽

Integral Sliding Mode ◽

Active Fault Tolerant Control

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Active Fault Tolerant Control Based on Fault Estimation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.635-637.1199 ◽

2014 ◽

Vol 635-637 ◽

pp. 1199-1202 ◽

Cited By ~ 2

Author(s):

Zheng Gao Hu ◽

Guo Rong Zhao ◽

Da Wang Zhou

Keyword(s):

Active Fault ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Sliding Mode Observer ◽

Fault Estimation ◽

Control Law ◽

Active Fault Tolerant Control ◽

The Stability ◽

Twisting Algorithm

For the chattering problem in the traditional sliding mode observer-based fault estimation, a second order sliding mode observer based on the Super-twisting algorithm was proposed. In order to avoid the cumbersome process of proving the stability of the Super-twisting algorithm, a Lyapunov function was adopted. An active fault tolerant control law was designed based on the fault estimation. Finally, simulation show the effectiveness of the proposed approach.

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Active Fault-Tolerant Control of a Quadcopter against Time-Varying Actuator Faults and Saturations Using Sliding Mode Backstepping Approach

Applied Sciences ◽

10.3390/app9194010 ◽

2019 ◽

Vol 9 (19) ◽

pp. 4010 ◽

Cited By ~ 2

Author(s):

Ngoc Phi Nguyen ◽

Sung Kyung Hong

Keyword(s):

Fault Diagnosis ◽

Active Fault ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Lyapunov Theory ◽

Fault Estimation ◽

Time Varying ◽

Actuator Faults ◽

Active Fault Tolerant Control

Fault-tolerant control is becoming an interesting topic because of its reliability and safety. This paper reports an active fault-tolerant control method for a quadcopter unmanned aerial vehicle (UAV) to handle actuator faults, disturbances, and input constraints. A robust fault diagnosis based on the H ∞ scheme was designed to estimate the magnitude of a time-varying fault in the presence of disturbances with unknown upper bounds. Once the fault estimation was complete, a fault-tolerant control scheme was proposed for the attitude system, using adaptive sliding mode backstepping control to accommodate the actuator faults, despite actuator saturation limitation and disturbances. The Lyapunov theory was applied to prove the robustness and stability of the closed-loop system under faulty operation. Simulation results show the effectiveness of the fault diagnosis scheme and proposed controller for handling actuator faults.

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Robust Fault Estimation and Fault-Tolerant Control Based on Sliding Mode Observer for Takagi–Sugeno Fuzzy Systems Subject to Actuator and Sensor Faults

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.g6005.069820 ◽

2020 ◽

Vol 9 (8) ◽

pp. 145-154

Keyword(s):

Fault Tolerant ◽

Sliding Mode ◽

Sufficient Conditions ◽

Fault Tolerant Control ◽

Lyapunov Stability Theory ◽

Sliding Mode Observer ◽

Fault Estimation ◽

Linear Matrix ◽

Sensor Faults ◽

Takagi Sugeno

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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