A fleet of Autonomous Underwater Vehicles (AUVs) moving together in a prescribed pattern can form an efficient data acquisition network. The problem is to control several AUVs 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 faults, is a fundamental requirement for these kind of missions. A completely decentralized predictive control and FDI strategy is here proposed for allowing cooperation. Trough an underwater communication channel, each vehicle broadcasts its position, its future behavior and its actuator/sensor fault situation. Based both on the local and the received information, each vehicle selects the desired formation to keep and plans its future actions. Simulation results are provided to validate the approach.

Cooperative control of underwater glider fleets by fault tolerant decentralized MPC / Longhi, Sauro; Monteriu', Andrea; Vaccarini, Massimo. - 17:(2008). (Intervento presentato al convegno 17th IFAC World Congress 2008 tenutosi a Seoul, Korea nel 6-11 July 2008) [10.3182/20080706-5-KR-1001.02708].

Cooperative control of underwater glider fleets by fault tolerant decentralized MPC

LONGHI, SAURO;MONTERIU', Andrea;VACCARINI, Massimo
2008-01-01

Abstract

A fleet of Autonomous Underwater Vehicles (AUVs) moving together in a prescribed pattern can form an efficient data acquisition network. The problem is to control several AUVs 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 faults, is a fundamental requirement for these kind of missions. A completely decentralized predictive control and FDI strategy is here proposed for allowing cooperation. Trough an underwater communication channel, each vehicle broadcasts its position, its future behavior and its actuator/sensor fault situation. Based both on the local and the received information, each vehicle selects the desired formation to keep and plans its future actions. Simulation results are provided to validate the approach.
2008
9781605607580
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/55234
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