• DocumentCode
    3018337
  • Title

    Analytical modeling and experimental studies of robotic fish turning

  • Author

    Tan, Xiaobo ; Carpenter, Michael ; Thon, John ; Alequin-Ramos, Freddie

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    102
  • Lastpage
    108
  • Abstract
    Turning is one of the most important maneuvers for biological and robotic fish. In our group´s prior work, an analytical framework was proposed for modeling the steady turning of fish, given asymmetric, periodic body/tail movement or deformation. However, the approach was not illustrated with simulation or validated with experiments. The contributions of the current paper are three fold. First, an extension to the modeling framework is made with a more rigorous formulation of the force balance equation. Second, we have worked out two examples explicitly, one with an oscillating, rigid tail, and the other with a flexible tail having a uniform curvature, and compared their turning behaviors through numerical results. Third, for model validation purposes, a robotic fish prototype has been developed, with the tail shaft controlled precisely by a servo motor. For a rigid tail, experimental results have confirmed the model prediction that, for the tested range, the steady-state turning radius and turning period decrease with an increasing bias in the tail motion, and that the turning period drops with an increasing tail beat frequency. We have also found that, with a flexible fin attached to the tail shaft, the robot can achieve faster turning with a smaller radius than the case of a rigid fin, and modeling within the same framework is underway to understand this phenomenon.
  • Keywords
    force control; mobile robots; motion control; servomotors; biological fish; deformation; flexible tail; force balance equation; periodic body-tail movement; rigid tail; robotic fish; servomotor; tail motion; tail shaft; turning maneuver; Analytical models; Biological system modeling; Deformable models; Equations; Marine animals; Prototypes; Robots; Shafts; Tail; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509488
  • Filename
    5509488