Title :
Model Predictive Control for the dynamic encirclement of a target
Author :
Marasco, Anthony J. ; Givigi, Sidney N. ; Rabbath, C.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, ON, Canada
Abstract :
Encirclement is a tactic that can be employed by a team of UAVs to neutralize a target by restricting its movement. The aim of the UAV team encircling the target is to move close to the target and maintain a formation around the target. In this paper, the problem of creating a dynamic circular formation around a target is considered, and a Decentralized Model Predictive Control (DMPC) policy is formulated. It is shown through simulation results that the derived MPC policy is effective for the case of a single UAV encircling a stationary target, a single UAV encircling a moving target, and a group of UAVs encircling a stationary target. The contributions of this paper are the application of MPC to the problem of encirclement, and the explicit objective of a dynamic circular formation around the target.
Keywords :
autonomous aerial vehicles; decentralised control; position control; predictive control; DMPC; UAV team; decentralized model predictive control policy; dynamic circular formation; dynamic target encirclement; Acceleration; Cost function; Predictive control; Steady-state; Turning; Vectors; Vehicle dynamics; Nonlinear Model Predictive Control; Unmanned Aerial Vehicles;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315602