• DocumentCode
    249676
  • Title

    Modeling of a carangiform-like robotic fish for both forward and backward swimming: Based on the fixed point

  • Author

    Liang Li ; Chen Wang ; Guangming Xie

  • Author_Institution
    Intell. Control Lab., Peking Univ., Beijing, China
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    800
  • Lastpage
    805
  • Abstract
    In this paper, a dynamic model is proposed for a carangiform-like robotic fish swimming both forwards and backwards. The robotic fish, which consists of a streamlined head, a flexible body and a caudal fin, is able to propel itself by generating a traveling propulsive wave traversing its body. We first modify the classical body wave function suggested by Lighthill to fit our robotic fish. Then we naturally define the point on fish´s body which never undulates during swimming straight as “Fixed-point” and prove its existence and uniqueness. Using the property of the Fixed-point, we propose a model for our robotic fish and further investigate how the swimming speed is affected by the position of the unique Fixed-point. It is found that the robotic fish achieves its maximum speed of swimming forwards and backwards when the Fixed-point located on the head and the tail, respectively. Finally, we apply the proposed model combining with a CPG-based locomotion controller to the real robotic fish. Both simulations and experiments show that the proposed model is capable to predict the speed of the robotic fish.
  • Keywords
    marine control; mobile robots; motion control; robot dynamics; velocity control; CPG-based locomotion controller; backward swimming; body wave function; carangiform-like robotic fish; central pattern generator; fixed-point property; forward swimming; propulsive wave; robotic fish dynamic model; swimming speed; Computational modeling; Computers; Joints; Mathematical model; Oscillators; Robots; Wave functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6906946
  • Filename
    6906946