Title :
Unmanned Aerial Vehicle formation flying using Linear Model Predictive Control
Author :
Iskandarani, M. ; Givigi, Sidney N. ; Fusina, G. ; Beaulieu, A.
Author_Institution :
R. Mil. Coll. of Canada, Kingston, ON, Canada
fDate :
March 31 2014-April 3 2014
Abstract :
A team of three Unmanned Aerial Vehicles (UAVs) accomplishes a line abreast, triangular and cross formation based on high-level Linear Model Predictive Control (LMPC). All flight tests respect Reynold´s rules of flocking, where the UAVs avoid collisions with nearby flockmates, attempt to match velocity of other team members and attempt to stay close to other flockmates. A linear system identification model is at the base of the error dynamics describing the formation control algorithm. The main contribution of this paper lies in the use of LMPC to implement multiple formations on UAVs in simulation and using the Qball-X4 quadrotor.
Keywords :
aerospace control; autonomous aerial vehicles; collision avoidance; identification; predictive control; LMPC; Qball-X4 quadrotor; UAV; collision avoidance; error dynamics; flight tests; flockmates; formation control algorithm; high-level linear model predictive control; linear system identification model; unmanned aerial vehicle formation flying; Atmospheric modeling; Equations; Lead; Mathematical model; Robots; Unmanned aerial vehicles; Vehicle dynamics; Autonomous robotics; Cooperative robotics; Linear Model Predictive Control; Unmanned Aerial Vehicles;
Conference_Titel :
Systems Conference (SysCon), 2014 8th Annual IEEE
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4799-2087-7
DOI :
10.1109/SysCon.2014.6819230