Active fault tolerant control design approach for the flexible spacecraft with sensor faults

2017 ◽  
Vol 354 (18) ◽  
pp. 8038-8056 ◽  
Author(s):  
Zhifeng Gao ◽  
Bing Han ◽  
Guoping Jiang ◽  
Jinxing Lin ◽  
Dezhi Xu
Keyword(s):  
Active Fault ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
Flexible Spacecraft ◽  
Design Approach ◽  
Sensor Faults ◽  
Active Fault Tolerant Control

A Neural Adaptive Approach for Active Fault-Tolerant Control Design in UAV

2020 ◽  
Vol 50 (9) ◽  
pp. 3401-3411 ◽  
Author(s):  
Alireza Abbaspour ◽  
Kang K. Yen ◽  
Parisa Forouzannezhad ◽  
Arman Sargolzaei
Keyword(s):  
Active Fault ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
Adaptive Approach ◽  
Active Fault Tolerant Control

H ∞ Fuzzy Tracking Control Design for Nonlinear Active Fault Tolerant Control Systems

2008 ◽  
Vol 130 (4) ◽  
Author(s):  
Huai-Ning Wu ◽  
Ming-Zhen Bai
Keyword(s):  
Control Systems ◽  
Fuzzy System ◽  
Tracking Control ◽  
Closed Loop ◽  
Active Fault ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
System Component ◽  
Active Fault Tolerant Control

This paper studies the problem of H∞ fuzzy tracking control design for nonlinear active fault tolerant control systems based on the Takagi and Sugeno fuzzy model. Two random processes with Markovian transition characteristics are introduced to model the system component fault process and the fault detection and isolation decision process used to reconfigure the control law, respectively. The random behavior of the FDI process is conditioned on the fault process state. The parallel distributed compensation scheme is employed for the control design. As a result, a closed-loop fuzzy system with two Markovian jump parameters is obtained. Based on a stochastic Lyapunov function, a sufficient condition for stochastic stability of the closed-loop fuzzy system with a guaranteed H∞ model reference tracking performance is first derived. A linear matrix inequality approach to the control design is then developed to reduce the effect of the external disturbance and reference input on tracking error as small as possible. Finally, a simulation example is presented to illustrate the effectiveness of the proposed design method.

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