• DocumentCode
    177246
  • Title

    LQR controller design for two-wheeled robot with a movable seat

  • Author

    Wenzeng Guo ; Xueshan Gao ; Shigong Jiang ; Chengguo Zong ; Fuquan Dai

  • Author_Institution
    Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    5248
  • Lastpage
    5253
  • Abstract
    A two-wheeled robot with a movable seat is proposed in this paper, which can turn with zero-radius and whose seat can move up and down, front and back. Firstly, the overall structure and the control system of the robot is introduced; secondly, a new filtering method called RC and Kalman filtering method is designed to get the posture of the robot; then, the robot´s dynamics model is established by Lagrange´s function method and locally linearized; finally, the LQR controller is developed to make the robot walk straight on the flat ground and verified in MATLAB/Simulink. Simulation results show that the dynamic model and the LQR controller are effective.
  • Keywords
    Kalman filters; control system synthesis; linear quadratic control; mobile robots; robot dynamics; seats; wheels; Kalman filtering method; LQR controller design; Lagrange function method; MATLAB/Simulink; RC filtering method; control system; flat ground; movable seat; robot dynamics model; two-wheeled robot; DC motors; Legged locomotion; Mathematical model; Micromechanical devices; Robot sensing systems; Wheels; LQR controller; RC-Kalman filter; movable seat; two-wheeled robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6853117
  • Filename
    6853117