• DocumentCode
    510013
  • Title

    Dynamic Analysis and Optimization of Parallel Manipulator

  • Author

    Wu Jianxin ; Yang Xiaojun

  • Author_Institution
    Coll. of Mech. Eng., Inner Mongolia Univ. of Technol., Hohhot, China
  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    199
  • Lastpage
    203
  • Abstract
    Electromechanical coupling dynamic model of parallel manipulator is a kind of a complicated electromechanical system which is multi-input, multi-output, nonlinear and strong coupling. There is not a perfect method to calculate dynamic modeling and simulation of parallel manipulator at present. 6UPS-parallel manipulator dynamic model was set up by Lagrange method; PID position controller was designed; the controller parameters were optimized by inertia weight adaptive particle swarm optimization in the article. It was proved that the modeling of electromechanical coupling dynamic model was right and the manipulator was controlled well by the controller through the simulation result of computer.
  • Keywords
    MIMO systems; control system synthesis; manipulator dynamics; nonlinear control systems; particle swarm optimisation; position control; three-term control; Lagrange method; PID position controller; complicated electromechanical system; computer simulation; dynamic modeling; electromechanical coupling dynamic model; inertia weight adaptive particle swarm optimization; multi input multi output nonlinear system; parallel manipulator; Adaptive control; Couplings; Design optimization; Electromechanical systems; Lagrangian functions; Manipulator dynamics; Nonlinear dynamical systems; Particle swarm optimization; Programmable control; Three-term control; dynamics; optimization; parallel manipulator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.10
  • Filename
    5375740