Biologically-inspired coordination of multiple UAVs using sliding mode control

Young Hwan Chang, Claire Jennifer Tomlin, Karl J. Hedrick · 2011

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.

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