Cooperative motion control of multiple autonomous marine vehicles: Collision avoidance in dynamic environments

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

Carvalhosa, S (Autor) Outra; Aguiar, AP (Autor) Outra; Pascoal, A (Autor) Outra

Ata de Conferência Internacional

Título: IFAC Proceedings Volumes (IFAC-PapersOnline)

Páginas: 395-400

7th IFAC Symposium on Intelligent Autonomous Vehicles, IAV 2010

Lecce, 6 September 2010 through 8 September 2010

Indexação

ISI Web of Knowledge

Scopus - 7 Citações

Outras Informações

ID Authenticus: P-007-ZT8

Abstract (EN): This paper addresses the problem of cooperative motion control (CMC) of multiple autonomous marine vehicles, taking explicitly into account collision avoidance in dynamic environments. A Collision Avoidance System (CAS) for a CMC architecture is proposed that consists of two subsystems: Collision Prediction and Collision Avoidance. Collision Prediction aims at estimating the most probable trajectory of a given obstacle. To this effect, a bank of Kalman filters are run in parallel, with each filter using a different plausible model for obstacle motion. The most probable model is chosen according to a decision algorithm. Each of the vehicle trajectories is then checked for possible collision with the obstacle. Should the possibility of a collision occur, Collision Avoidance is achieved either by controlling the speed of each vehicle along its assigned path or through path re-planing using harmonic potential fields. Because group coordination must be taken into consideration, collision avoidance is implemented using a decentralized system that is suited for multiple heterogeneous vehicles. The paper summarizes the key concepts and the methodology used to implement a Collision Avoidance System for teams of vehicles. The efficacy of the system is assessed in simulation with dynamic models of a group of marine surface craft using NetMarSys, a Cooperative Motion Control Simulator developed at ISR/IST.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6