DocumentCode :
3163357
Title :
Collision-free UAV formation flight using decentralized optimization and invariant sets
Author :
Borrelli, Francesco ; Keviczky, Tamas ; Balas, Gary J.
Author_Institution :
Dept. of Aerosp. Eng. & Mechanics, Minnesota Univ., Minneapolis, MN, USA
Volume :
1
fYear :
2004
fDate :
17-17 Dec. 2004
Firstpage :
1099
Abstract :
We consider the problem of formation flight for a set of unmanned air vehicles (UAV). We propose a decentralized control design procedure which guarantees collision avoidance and constraint fulfillment. The control design is based on a decentralized receding horizon control (RHC) scheme. Vehicle collision avoidance is ensured by considering a collision-free emergency maneuver which is implemented when feasibility of the decentralized RHC scheme is lost. Bounds on speed and accelerations are computed off-line using simple polyhedral invariant set computations. Such bounds guarantee that the implementation of the emergency maneuver leads to collision-free trajectories. The proposed decentralized control scheme is formulated as mixed-integer linear programs of small sizes which can be translated into equivalent piecewise affine state-feedback controllers. These controllers can be implemented in real-time once the corresponding look-up tables are downloaded to the hardware platform of the UAVs.
Keywords :
aerospace robotics; collision avoidance; control engineering computing; control system synthesis; decentralised control; feedback; integer programming; linear programming; military aircraft; mobile robots; multi-robot systems; remotely operated vehicles; telerobotics; acceleration bounds; collision avoidance; collision-free UAV formation flight; collision-free emergency maneuver; constraint fulfillment; decentralized control design; decentralized optimization; decentralized receding horizon control; invariant sets; look-up tables; mixed-integer linear programs; piecewise affine state-feedback controllers; simple polyhedral invariant set computations; speed bounds; unmanned aerial vehicles; Centralized control; Collision avoidance; Contracts; Distributed control; Monitoring; Optimal control; Predictive models; Size control; Synthetic aperture radar; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Conference_Location :
Nassau
ISSN :
0191-2216
Print_ISBN :
0-7803-8682-5
Type :
conf
DOI :
10.1109/CDC.2004.1428839
Filename :
1428839
Link To Document :
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