A fleet of unmanned marine vehicles moving together in a prescribed pattern forms a robotic system for cooperative tasks. The problem is to control several marine vehicles such that, after transients, they form a required formation and move along a desired trajectory. The capability to accomplish the mission even in case of fault, is a fundamental requirement for these kind of vehicles. A completely decentralized nonlinear predictive control integrated with a fault tolerant strategy is here proposed for allowing safe cooperation. Based both on the local information and the acquired one through a LAN, each marine vehicle selects the desired formation to keep and plans its future actions. The proposed solution can be applied to different classes of unmanned marine vehicles.

Fault tolerant decentralized nonlinear MPC for fleets of unmanned marine vehicles / Freddi, Alessandro; Longhi, Sauro; Monteriu', Andrea; Vaccarini, Massimo. - STAMPA. - (2010), pp. 348-353. (Intervento presentato al convegno 8th IFAC Conference on Control Applications in Marine Systems (CAMS) tenutosi a Rostock-Warnemünde, Germany nel September 15-17, 2010) [10.3182/20100915-3-DE-3008.00037].

Fault tolerant decentralized nonlinear MPC for fleets of unmanned marine vehicles

FREDDI, ALESSANDRO;LONGHI, SAURO;MONTERIU', Andrea;VACCARINI, Massimo
2010-01-01

Abstract

A fleet of unmanned marine vehicles moving together in a prescribed pattern forms a robotic system for cooperative tasks. The problem is to control several marine vehicles such that, after transients, they form a required formation and move along a desired trajectory. The capability to accomplish the mission even in case of fault, is a fundamental requirement for these kind of vehicles. A completely decentralized nonlinear predictive control integrated with a fault tolerant strategy is here proposed for allowing safe cooperation. Based both on the local information and the acquired one through a LAN, each marine vehicle selects the desired formation to keep and plans its future actions. The proposed solution can be applied to different classes of unmanned marine vehicles.
2010
9783902661883
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/64483
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