Adaptive fuzzy fault-tolerant control for the attitude tracking of spacecraft within finite time

2021 ◽  
Vol 189 ◽  
pp. 166-180
Author(s):  
Shihong Gao ◽  
Yuanwei Jing ◽  
Georgi M. Dimirovski ◽  
Yan Zheng
Keyword(s):  
Finite Time ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Adaptive Fuzzy ◽  
Attitude Tracking

scholarly journals Neural Network-Based Finite-Time Fault-Tolerant Control for Spacecraft without Unwinding

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chao Tan ◽  
Guodong Xu ◽  
Limin Dong ◽  
Han Zhao ◽  
Jun Li ◽  
...  
Keyword(s):  
Finite Time ◽  
Fault Tolerant ◽  
External Disturbance ◽  
Fault Tolerant Control ◽  
Actuator Faults ◽  
Inertial Parameters ◽  
Attitude Tracking ◽  
Learning Parameter ◽  
System States ◽  
Attitude Tracking Control

In this paper, we focus on solving the problems of inertia-free attitude tracking control for spacecraft subject to external disturbance, unknown inertial parameters, and actuator faults. The robust control architecture is designed by using the rotation matrix and neural networks. In the presence of external disturbance and parametric uncertainties, a fault-tolerant control (FTC) scheme synthesized with the minimum-learning-parameter (MLP) algorithm is proposed to improve the reliability of the system when unknown actuator faults occur. These methods are developed based on backstepping to ensure that finite-time convergence is achievable for the entire closed-loop system states with low computational complexity. The validity and advantage of the designed controllers are highlighted by using Lyapunov-based analysis. Finally, the simulation results demonstrate the satisfactory performance of the developed controllers.

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