• DocumentCode
    1595047
  • Title

    General Control Model for Bionic Inchworm Robot Moving Modes Based on Discrete Hopfield Neural Network

  • Author

    Yu Lianzhi ; Chen Jian

  • Author_Institution
    Coll. of Optoelectric & Electr. Inf. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • fYear
    2012
  • Firstpage
    687
  • Lastpage
    690
  • Abstract
    In this paper, Based on the principle of discrete Hop field neural network, a general Hop field neural network control model is proposed and applied in an bionic inchworm 3-DOF micro robot moving modes process. The structure and the moving modes in one step cycle of the inchworm robot system were described, and according to orderly continuous moving modes, a three-node Hop field neural network with two groups of connecting weight coefficients and thresholds was designed, which could be used to control the orderly continuous convergence inchworm robot moving states of space 3-DOF direction in one step moving cycle. Results prove the Hop field neural network controller is suitable for the inchworm robot moving process control.
  • Keywords
    Hopfield neural nets; mobile robots; Hop field neural network controller; bionic inchworm 3-DOF microrobot; bionic inchworm robot; discrete Hopfield neural network; general control model; weight coefficients; Actuators; Hopfield neural networks; Joining processes; Neurons; Pneumatic systems; Robots; Hopfield Neural network; general control model; inchworm robot; moving State;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.580
  • Filename
    6173299