DocumentCode
2846974
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
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
1045
Lastpage
1050
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;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2011
Conference_Location
San Francisco, CA
ISSN
0743-1619
Print_ISBN
978-1-4577-0080-4
Type
conf
DOI
10.1109/ACC.2011.5990799
Filename
5990799
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