Real-time computer simulation/emulation for verification of multi-fault-tolerant control of Centaur-in-Shuttle

1981 ◽  
Author(s):  
G. SZATKOWSKI
Keyword(s):  
Computer Simulation ◽  
Real Time ◽  
Fault Tolerant ◽  
Fault Tolerant Control

scholarly journals A hybrid fault-tolerant control strategy for four-wheel independent drive vehicles

2021 ◽  
Vol 13 (9) ◽  
pp. 168781402110454
Author(s):  
Ruinan Chen ◽  
Jian Ou
Keyword(s):  
Real Time ◽  
Control Strategy ◽  
High Performance ◽  
Control Method ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
The Stability ◽  
Model Reference Adaptive ◽  
Observation Results

In this paper, a hybrid fault-tolerant control strategy is putted forward to improve the stability of the four-wheel independent drive (4WID) electric vehicle with motor failures. To improve the handling performance of the vehicle with in-wheel motor failures, the faults of in-wheel motors are analyzed and modeled. Then, a model reference adaptive fault observer was designed to observe the faults in real-time. Based on the observation results, there are designed a model predictive control (MPC) based high-performance active fault-tolerant control (AFTC) strategy and a sliding mode control based high-robust passive fault-tolerant control (PFTC) strategy. However, the fault observation results may not always be accurately. For this circumstance, a hybrid fault-tolerant control strategy was designed to make the control method find a balance between optimality and robustness. Finally, a series of simulations are conducted on a hardware-in-loop (HIL) real-time simulator, the simulation results show that the control strategy designed in this paper is effectiveness.

scholarly journals Neural Network-based Active Fault-Tolerant Control Design for Unmanned Helicopter with Sensor Faults

2021 ◽  
Author(s):  
Sohrab Mokhtari ◽  
Alireza Abbaspour ◽  
Kang K. Yen ◽  
Arman Sargolzaei
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Active Fault ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Adaptive Observer ◽  
Sensor Faults ◽  
Control Scheme ◽  
Different Types ◽  
Types Of Faults

A novel adaptive neural network-based fault-tolerant control scheme is proposed for six-degree freedom nonlinear helicopter dynamic. The proposed approach can detect and mitigate sensors' faults in real-time. An adaptive observer-based on neural network (NN) and extended Kalman filter (EKF) is designed, which incorporates the helicopter's dynamic model to detect faults in the navigation sensors. Based on the detected faults, an active fault-tolerant controller, including three loops of dynamic inversion, is designed to compensate for the occurred faults in real-time. The simulation results showed that the proposed approach is able to detect and mitigate different types of faults on the helicopter navigation sensors, and the helicopter tracks the desired trajectory without any interruption.

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