DocumentCode
613688
Title
Using multiple Quadrotor aircraft and Linear Model Predictive Control for the encirclement of a target
Author
Iskandarani, M. ; Hafez, A.T. ; Givigi, Sidney N. ; Beaulieu, A. ; Rabbath, C.A.
Author_Institution
R. Mil. Coll. of Canada, Kingston, ON, Canada
fYear
2013
fDate
15-18 April 2013
Firstpage
620
Lastpage
627
Abstract
A Multi-Unmanned Aerial Vehicle (UAV) team formed from two or more UAVs is used in the encirclement of a target. Encirclement is defined as the situation in which a target is isolated and surrounded by a UAV team in order to maintain awareness and containment of that target. In this paper, the problem of maintaining a circular path around a target is considered and a Linear Model Predictive Control (LMPC) strategy is implemented on a team of Qball-X4 quadrotor aircraft in order to follow the circular path. The linear plant controlled by the LMPC is a combination of process models found through system identification and a linear cartesian to polar transformation. A collision avoidance system, based on potential fields, is successfully implemented between the Qball-X4 quadrotors. The contribution of this paper lay in the application of LMPC to the problem of encirclement using a team of Qball-X4 quadrotors and the ability of these UAVs to apply a collision avoidance policy.
Keywords
aircraft control; autonomous aerial vehicles; collision avoidance; linear systems; predictive control; target tracking; LMPC strategy; Qball-X4 quadrotor aircraft; UAV team; collision avoidance system; linear Cartesian; linear model predictive control; linear plant; multiunmanned aerial vehicle; polar transformation; process model; system identification; target circular path; target encirclement; Aircraft; Angular velocity; Collision avoidance; Equations; Mathematical model; Real-time systems; Vehicles; Collision Avoidance; Linear Model Predictive Control; Unmanned Aerial Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Conference (SysCon), 2013 IEEE International
Conference_Location
Orlando, FL
Print_ISBN
978-1-4673-3107-4
Type
conf
DOI
10.1109/SysCon.2013.6549947
Filename
6549947
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