• DocumentCode
    2958901
  • Title

    Research on Control Method of Two-wheeled Self-balancing Robot

  • Author

    Junfeng, Wu ; Wanying, Zhang

  • Author_Institution
    Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    1
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    476
  • Lastpage
    479
  • Abstract
    Based on Newton dynamics mechanics theory make a study of two-wheeled self-balancing robot, a detailed mathematical model of the modeling process is provided, and then, using the reasonable method, a linear state-space equations is built up. After that, the LQR controller and state-feedback controller based on pole placement theory are both designed. After a number of simulation experiments, we get the best closed-loop poles and Q, R matrix, both of which have good simulation curves at the same disturbance force. The results of experiments prove that both of them have good dynamic performance and robustness, which also prove the system modeling and controller design are reasonable and effective via these methods. The curves from LQR controller have a better dynamic performance compare with pole placement state-feedback controller.
  • Keywords
    closed loop systems; control system synthesis; linear quadratic control; matrix algebra; mobile robots; robot dynamics; robust control; state feedback; state-space methods; LQR controller; Newton dynamics mechanics theory; Q matrix; R matrix; closed loop pole; disturbance force; linear state space equation; mathematical model; modeling process; pole placement state feedback controller; pole placement theory; simulation curve; system controller design; system modeling; two wheeled selfbalancing robot; Control theory; Equations; Mathematical model; Mobile robots; Robot sensing systems; Wheels; Control Theory; LQR; Pole Placement; Two-wheeled Self-balancing Robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.132
  • Filename
    5750658