• DocumentCode
    3483646
  • Title

    Obstacle Avoidance of Snake Robot Moving with A Novel Gait Using Two-Level PID Controller

  • Author

    Hasanzadeh, Sh. ; Tootoonchi, A. Akbarzadeh

  • Author_Institution
    Mech. Eng. Dept., Ferdowsi Univ. of Mashhad, Mashhad
  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    427
  • Lastpage
    432
  • Abstract
    In this paper, we introduce a novel locomotion mode (gait) for 2D snake robots. The idea behind this new gait is to control orientation of snake robot by head link and use other links as a means of driving the robot. When snake robot moves using this gait, head link always looks at direction of motion and can therefore receive much better information of target and obstacles in the direction of motion. This will significantly improve the ease of robot control which is critical in the case of search and rescue operations. Finding the proposed gait parameters is an optimization problem that we solve it using genetic algorithm (GA). We then propose a two-level PID controller to guide snake robot to target while avoiding obstacles. The lower level PID controller controls actuators input torque while the higher level PID controller controls orientation of the head link. Simulation results confirm the effectiveness of the proposed method.
  • Keywords
    actuators; collision avoidance; genetic algorithms; mobile robots; motion control; three-term control; 2D snake robots; actuators input torque control; gait parameters; genetic algorithm; locomotion mode; obstacle avoidance; optimization problem; orientation control; search and rescue operations; two-level PID controller; Control systems; Friction; Genetic algorithms; Mechanical engineering; Mobile robots; Open loop systems; Robot control; Robot kinematics; Three-term control; Torque control; control; gait; genetic algorithm; snake robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics, 2008 IEEE Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1675-2
  • Electronic_ISBN
    978-1-4244-1676-9
  • Type

    conf

  • DOI
    10.1109/RAMECH.2008.4681402
  • Filename
    4681402