• DocumentCode
    3018634
  • Title

    The LQR Real-time Control for the Inverted Pendulum Based on PSO

  • Author

    Guoping, Liu ; Genfu, Xiao ; Xiaohui, Yang

  • Author_Institution
    Sch. of Mech. & Electr. Eng., Nanchang Univ., Nanchang, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    2363
  • Lastpage
    2366
  • Abstract
    This paper established a mathematical model of the inverted pendulum system and put forward a design method of LQR based on PSO. A LQR is designed by this method according to the computer simulation experiments. The simulation results show that the inverted pendulum system with the LQR has good performance. Then the real-time control of the pendulum has been accomplished successfully based on the real-time control model built in Simulink. The LQR designed in the computer simulation experiments is applied to real-time controls. The real-time control experiments also validated the correctness of the theoretical analysis and the rightness of the computer simulation.
  • Keywords
    control system synthesis; linear quadratic control; nonlinear control systems; particle swarm optimisation; pendulums; inverted pendulum system; linear quadratic regular real time control; particle swarm optimization; Computer simulation; Conferences; Control systems; Digital signal processing; Particle swarm optimization; Real time systems; Robustness; Inverted pendulum; LQR; PSO; Real-time control; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.583
  • Filename
    5631860