Fault-Tolerant Control Design for Multirotor UAVs Formation Flight

2021 ◽  
Vol 12 (2) ◽  
pp. 166-177
Author(s):  
M. Slim ◽  
M. Saied ◽  
H. Mazeh ◽  
H. Shraim ◽  
C. Francis
2021 ◽  
Vol 29 (2) ◽  
pp. 78-96
Author(s):  
M. Slim ◽  
◽  
M. Saied ◽  
H. Mazeh ◽  
H. Shraim ◽  
...  

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.


2014 ◽  
Vol 24 (14) ◽  
pp. 1969-1988 ◽  
Author(s):  
Saúl Montes de Oca ◽  
Sebastian Tornil-Sin ◽  
Vicenç Puig ◽  
Didier Theilliol

2020 ◽  
Vol 50 (9) ◽  
pp. 3401-3411 ◽  
Author(s):  
Alireza Abbaspour ◽  
Kang K. Yen ◽  
Parisa Forouzannezhad ◽  
Arman Sargolzaei

Author(s):  
Mickael Rodrigues ◽  
Didier Theilliol ◽  
Samir Aberkane ◽  
Dominique Sauter

Fault Tolerant Control Design For Polytopic LPV SystemsThis paper deals with a Fault Tolerant Control (FTC) strategy for polytopic Linear Parameter Varying (LPV) systems. The main contribution consists in the design of a Static Output Feedback (SOF) dedicated to such systems in the presence of multiple actuator faults/failures. The controllers are synthesized through Linear Matrix Inequalities (LMIs) in both fault-free and faulty cases in order to preserve the system closed-loop stability. Hence, this paper provides a new sufficient (but not necessary) condition for the solvability of the stabilizing output feedback control problem. An example illustrates the effectiveness and performances of the proposed FTC method.


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