Title :
Biologically-inspired coordination of multiple UAVs using sliding mode control
Author :
Young Hwan Chang ; Tomlin, C. ; Hedrick, Karl
Author_Institution :
Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
fDate :
June 29 2011-July 1 2011
Abstract :
We consider the problem of prey (evader) hunting for single or multiple Unmanned Aircraft Vehicles (UAVs) based on biologically-inspired predator-prey behavior. First, we apply sliding mode control (SMC) to a single predator/single prey model. Next, we propose motion synchronization of multiple UAVs to hunt prey effectively. The proposed motion control scheme is formulated and synchronization is proved. Also, numerical examples demonstrate the performance of the proposed SMC controller and synchronization of multiple UAVs. Therefore, a biologically-inspired strategy of multiple UAVs with synchronization might be a possible approach to effectively hunt other UAVs.
Keywords :
aerospace robotics; mobile robots; motion control; predator-prey systems; remotely operated vehicles; robot kinematics; synchronisation; variable structure systems; biologically-inspired UAV coordination; biologically-inspired predator-prey behavior; motion control scheme; motion synchronization; multiple UAV; single UAV; sliding mode control; unmanned aerial vehicles; Acceleration; Biological system modeling; Equations; Sliding mode control; Synchronization; Uncertainty;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991252