Viability-based computation of spatially constrained minimum time trajectories for an autonomous underwater vehicle: implementation and experiments
Bayen, Alexandre M.; Silva, Jorge Estrela; Madureira, Luis; Marques, Edoardo; Sousa, Joao; Martins, Ricardo; Pinto, José; Diemer, Sébastien; Tinka, Andrew; Saint-Pierre, Patrick (2009), Viability-based computation of spatially constrained minimum time trajectories for an autonomous underwater vehicle: implementation and experiments, American Control Conference, 2009. ACC '09., IEEE, p. 3603-3610. http://dx.doi.org/10.1109/ACC.2009.5160166
TypeCommunication / Conférence
Conference title2009 American Control Conference - ACC2009
Book titleAmerican Control Conference, 2009. ACC '09.
MetadataShow full item record
Author(s)Bayen, Alexandre M.
Silva, Jorge Estrela
Abstract (EN)A viability algorithm is developed to compute the constrained minimum time function for general dynamical systems. The algorithm is instantiated for a speciﬁc dynamics(Dubin’s vehicle forced by a ﬂow ﬁeld) in order to numerically solve the minimum time problem. With the speciﬁc dynamics considered, the framework of hybrid systems enables us to solve the problem efﬁciently. The algorithm is implemented in C using epigraphical techniques to reduce the dimension of the problem. The feasibility of this optimal trajectory algorithm is tested in an experiment with a Light Autonomous Underwater Vehicle (LAUV) system. The hydrodynamics of the LAUV are analyzed in order to develop a low-dimension vehicle model. Deployment results from experiments performed in the Sacramento River in California are presented, which show good performance of the algorithm.
Subjects / Keywordstrajectories; underwater vehicle; viability algorithm; hybrid systems; implementation
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