• Medientyp: E-Artikel
  • Titel: Design of a Labriform-Steering Underwater Robot Using a Multiphysics Simulation Environment
  • Beteiligte: Costa, Daniele; Scoccia, Cecilia; Palpacelli, Matteo; Callegari, Massimo; Scaradozzi, David
  • Erschienen: MDPI AG, 2022
  • Erschienen in: Robotics
  • Sprache: Englisch
  • DOI: 10.3390/robotics11010011
  • ISSN: 2218-6581
  • Schlagwörter: Artificial Intelligence ; Control and Optimization ; Mechanical Engineering
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  • Beschreibung: <jats:p>Bio-inspired solutions devised for Autonomous Underwater Robots are currently investigated by researchers as a source of propulsive improvement. To address this ambitious objective, the authors have designed a carangiform swimming robot, which represents a compromise in terms of efficiency and maximum velocity. The requirements of stabilizing a course and performing turns were not met in their previous works. Therefore, the aim of this paper is to improve the vehicle maneuvering capabilities by means of a novel transmission system capable of transforming the constant angular velocity of a single rotary actuator into the pitching–yawing rotation of fish pectoral fins. Here, the biomimetic thrusters exploit the drag-based momentum transfer mechanism of labriform swimmers to generate the necessary steering torque. Aside from inertia and encumbrance reduction, the main improvement of this solution is the inherent synchronization of the system granted by the mechanism’s kinematics. The system was sized by using the experimental results collected by biologists and then integrated in a multiphysics simulation environment to predict the resulting maneuvering performance.</jats:p>
  • Zugangsstatus: Freier Zugang