• DocumentCode
    3586787
  • Title

    Stability analysis of underwater snake robot locomotion based on averaging theory

  • Author

    Kelasidi, E. ; Pettersen, K.Y. ; Gravdahl, J.T.

  • Author_Institution
    Dept. of Eng. Cybern., NTNU, Trondheim, Norway
  • fYear
    2014
  • Firstpage
    574
  • Lastpage
    581
  • Abstract
    This paper presents an averaged model of the velocity dynamics of an underwater snake robot, suited for stability analysis and motion planning purposes for general sinusoidal motion gait patterns. Averaging theory is applied in order to derive a model of the average velocity for a control-oriented model of an underwater snake robot that is influenced by added mass effects (reactive fluid forces) and linear drag forces (resistive fluid forces). Based on this model we show that the average velocity of an underwater snake robot during sinusoidal motion patterns converges exponentially to a steady-state velocity. An explicit analytical relation is given between the steady state velocity and the amplitude, the frequency, the phase shift and the offset of the joint motion for the case of a sinusoidal gait pattern. The results of the paper are general and constitute a powerful tool for achieving faster forward motion by selecting the most appropriate motion pattern and the best combination of the gait parameters. Simulation results are presented both for lateral undulation and eel-like motion.
  • Keywords
    mobile robots; motion control; motion estimation; stability; average velocity dynamics; averaged model; averaging theory; control-oriented model; eel-like motion; general sinusoidal motion gait patterns; lateral undulation; linear drag forces; motion planning; sinusoidal gait pattern; sinusoidal motion patterns; stability analysis; steady state velocity; underwater snake robot locomotion; Analytical models; Dynamics; Joints; Robot kinematics; Stability analysis; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2014.7090392
  • Filename
    7090392