• DocumentCode
    2892021
  • Title

    Applying a nonlinear observer to solve forward kinematics of a Stewart platform

  • Author

    Chen, Sung-Hua ; Huang, Chin-I ; Fu, Li-Chen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei
  • fYear
    2008
  • fDate
    3-5 Sept. 2008
  • Firstpage
    1183
  • Lastpage
    1188
  • Abstract
    A nonlinear observer based method is proposed to solve the forward kinematics problem of the 6-DOF parallel manipulator (Stewart platform). In this paper, the forward kinematics solution is achieved by using a nonlinear observer designed to estimate the system states including 3-axis translations and rotations. The forward kinematics problem of the Stewart platform is often solved using Newton-Raphson method which is an iterative process to approach the true solution. Another approach is to solve a high-order polynomial via the elimination-based method. Each method is difficult to practice because of the complexity of formulation and computational burden. The nonlinear observer based method avoids the complicated polynomial and iteration such that the calculation time can be greatly saved and the forward kinematics solution can work in real time.
  • Keywords
    Newton-Raphson method; iterative methods; manipulator kinematics; nonlinear control systems; observers; state estimation; 3-axis rotations; 3-axis translations; 6-DOF parallel manipulator; Newton-Raphson method; Stewart platform; elimination-based method; forward kinematics; iterative process; nonlinear observer based method; system state estimation; Control systems; Induction motors; Kinematics; Lyapunov method; Motion estimation; Nonlinear control systems; Nonlinear systems; Observers; Polynomials; State estimation; Forward kinematics; Nonlinear observer; Parallel manipulator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2008. CCA 2008. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    978-1-4244-2222-7
  • Electronic_ISBN
    978-1-4244-2223-4
  • Type

    conf

  • DOI
    10.1109/CCA.2008.4629686
  • Filename
    4629686