Title :
Dynamic encirclement of a moving target using decentralized nonlinear Model Predictive Control
Author :
Marasco, Anthony J. ; Givigi, Sidney N. ; Rabbath, C.A. ; Beaulieu, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, ON, Canada
Abstract :
Dynamic encirclement is a tactic which can be employed by a group of UAVs to neutralize a target by restricting its movement, or provide constant surveillance of a target. The aim of the UAVs in the formation is to move into a position close to the target and establish a moving formation around the target. In this paper, the problem of creating a dynamic circular formation around a moving target is considered, and a Decentralized Model Predictive Control (DMPC) policy is formulated. Using theoretical results, a stabilizing control policy is derived, and the policy is validated through simulation results. Furthermore, we examine the effects of communications between the UAVs and the use of a model target on the performance of the UAVs. The contributions of this paper are the extension of the dynamic encirclement tactic to the case of a group of UAVs and a moving target, the consideration of a target model and communications, and the application of theoretical stability analysis to the problem.
Keywords :
autonomous aerial vehicles; decentralised control; nonlinear control systems; predictive control; robust control; DMPC policy; UAV; UAV performance; decentralized model predictive control policy; dynamic circular formation; moving formation; moving target dynamic encirclement tactic; stabilized control policy; target neutralization; target surveillance; Mathematical model; Simulation; Stability analysis; Trajectory; Vectors; Vehicle dynamics; Vehicles; Nonlinear Model Predictive Control; Unmanned Aerial Vehicles;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580445