DocumentCode :
3074850
Title :
Fault tolerant cooperative control of multiple UAVs-UGVs under actuator faults
Author :
Kamel, Mohamed A. ; Ghamry, Khaled A. ; Youmin Zhang
Author_Institution :
Dept. of Mech. & Ind. Eng., Concordia Univ., Montréal, QC, Canada
fYear :
2015
fDate :
9-12 June 2015
Firstpage :
644
Lastpage :
649
Abstract :
A fault tolerant cooperative control (FTCC) strategy for a team of an unmanned aerial vehicle (UAV) and unmanned ground vehicles (UGVs) in the presence of actuator faults are investigated in this paper. A combination of a linear model predictive control (MPC) and input-output feedback linearization is implemented on each UGV, while a combination of a sliding mode control and linear quadratic regulator (LQR) are applied to the UAV. When a severe actuator fault occurs in one of the robots, it becomes unable to complete its assigned task, and it has to get out from the formation mission. FTCC strategy is designed with the robots´ tasks are re-assigned to the remaining healthy robots to complete the mission with graceful degradation. The FTCC problem is solved as an optimal assignment problem, while a Hungarian algorithm which applied to each robot will solve the assignment problem. Formation operation of the robot team is based on a leader-follower approach, and the control algorithm is implemented in a decentralized manner. Finally, simulation results are presented in order to demonstrate the performance of the team in both fault-free case and faulty case.
Keywords :
actuators; autonomous aerial vehicles; fault tolerant control; feedback; linear quadratic control; linear systems; linearisation techniques; multi-robot systems; position control; predictive control; variable structure systems; FTCC strategy; Hungarian algorithm; LQR; MPC; actuator faults; control algorithm; fault tolerant cooperative control; fault-free case; faulty case; formation mission; formation operation; input-output feedback linearization; leader-follower approach; linear model predictive control; linear quadratic regulator; multiple UAVs-UGVs; optimal assignment problem; robot team; robots tasks; sliding mode control; unmanned aerial vehicle; unmanned ground vehicles; Actuators; Fault tolerance; Mathematical model; Mobile robots; Robot kinematics; Shape; Fault-tolerant cooperative control; model predictive control; sliding mode control; unmanned aerial vehicles; unmanned ground vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
978-1-4799-6009-5
Type :
conf
DOI :
10.1109/ICUAS.2015.7152346
Filename :
7152346
Link To Document :
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