Title :
UAV flocking with wind gusts: Adaptive topology and model reduction
Author :
Chapman, A. ; Mesbahi, M.
Author_Institution :
Dept. of Aeronaut. & Astronaut., Univ. of Washington, Seattle, WA, USA
fDate :
June 29 2011-July 1 2011
Abstract :
In this paper, we examine the problem of UAV flocking in the presence of wind gusts. Firstly, we model a velocity consensus-based leader-follower system exposed to gust disturbances and design an optimal controller, in the linear quadratic sense, to improve velocity tracking. We then proceed to examine topological features that promote the performance of such optimal controllers to design a network rewiring protocol for improved system performance. Finally we present a novel partitioning schemed, dubbed leader partition, in order to fuse "similar" states in the network, forming a graph theoretic method for model reduction.
Keywords :
adaptive control; aerospace robotics; autonomous aerial vehicles; control system synthesis; graph theory; multi-robot systems; reduced order systems; velocity control; UAV flocking; adaptive topology; dubbed leader partition scheme; graph theoretic method; model reduction; network rewiring protocol; optimal controller design; unmanned aerial vehicles; velocity consensus-based leader-follower system; velocity tracking; wind gust; Controllability; Erbium; Lead; Network topology; Protocols; Reduced order systems; Topology; Adaptive graphs; Consensus protocol; Coordinated control over networks; Leader-Follower consensus; Model reduction; UAV flocking;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5990799