Evaluation of a fault-tolerant control design for actuator faults

2002 ◽  
Author(s):  
H. Noura ◽  
D. Sauter ◽  
F. Hamelin
Keyword(s):  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
Actuator Faults

scholarly journals Erratum to: Distributed active fault tolerant control design against actuator faults for multiple mobile robots

2019 ◽  
Vol 18 (1) ◽  
pp. 110-110
Author(s):  
Mahmoud Hussein ◽  
Jawhar Ghommam ◽  
Azeddine Ghodbane ◽  
Maarouf Saad ◽  
Vahé Nerguizian
Keyword(s):  
Mobile Robots ◽  
Active Fault ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
Actuator Faults ◽  
Multiple Mobile Robots ◽  
Active Fault Tolerant Control

Distributed active fault tolerant control design against actuator faults for multiple mobile robots

2019 ◽  
Vol 17 (4) ◽  
pp. 367-381 ◽  
Author(s):  
Mahmoud Hussein ◽  
Jawhar Ghommam ◽  
Azeddine Ghodbane ◽  
Maarouf Saad ◽  
Vahé Nerguizian
Keyword(s):  
Mobile Robots ◽  
Active Fault ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
Actuator Faults ◽  
Multiple Mobile Robots ◽  
Active Fault Tolerant Control

Fault-Tolerant Control Design for Multirotor UAVs Formation Flight

2021 ◽  
Vol 29 (2) ◽  
pp. 78-96
Author(s):  
M. Slim ◽  
◽  
M. Saied ◽  
H. Mazeh ◽  
H. Shraim ◽  
...  
Keyword(s):  
Formation Control ◽  
Optimization Problem ◽  
Fault Tolerant ◽  
Control Design ◽  
Target Position ◽  
Fault Tolerant Control ◽  
Formation Flight ◽  
Actuator Faults ◽  
Swarm Optimization ◽  
Bee Colony

This paper proposes the use of the Gbest-Guided Artificial Bee Colony (GABC) algorithm to solve an online optimization problem for the leaderless distributed formation control of hexarotor Unmanned Aerial Vehicles (UAVs). The GABC is employed to optimize a cost function for each agent while ensuring the convergence of the fleet to the target position and averting both obstacles and collisions with other UAVs. The GABC algorithm has been shown to be competitive with some other conventional biological-inspired algorithms such as the Particle Swarm Optimization (PSO). Fault-Tolerant Control (FTC) methods are presented and tested on several scenarios, particularly we considered the cases of loss of agents and actuator faults in the fleet. Results show the success of the proposed FTC methods to minimize the faults effect on the formation final goal.

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