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
Link To Document :
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