• DocumentCode
    3332411
  • Title

    Design of fuzzy logic controller for two-wheeled self-balancing robot

  • Author

    Junfeng Wu ; Wanying Zhang

  • Author_Institution
    Coll. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    2
  • fYear
    2011
  • fDate
    22-24 Aug. 2011
  • Firstpage
    1266
  • Lastpage
    1270
  • Abstract
    Two-wheeled self-balancing robot is a high order, multiple-variables, non-linear, strong coupling, and instability system. On the basis of building up the system structure model, kinetic equation is built up by using Newton dynamics mechanics theory. After that, the pole placement state-feedback controller and fuzzy logic controller are both designed, both of which have good simulation curves at the same disturbance force. Finally, some simulation experiments be done in the undisturbed and disturbed environment respectively. The simulation results indicate that the fuzzy logic control algorithm can realize the self-balance control of the two-wheeled robot successfully and restrain the robot from falling down, so as to satisfy the anticipated control goals of the robot and obtain the better dynamic performance, so it has the better theory value and the applied research value.
  • Keywords
    fuzzy control; mobile robots; pole assignment; robot dynamics; self-adjusting systems; stability; state feedback; wheels; Newton dynamics mechanics theory; fuzzy logic controller design; kinetic equation; pole placement state-feedback controller; two-wheeled self-balancing robot; Digital signal processing; Robots; Robustness; control theory; fuzzy control; pole placement; two-wheeled self-balancing robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2011 6th International Forum on
  • Conference_Location
    Harbin, Heilongjiang
  • Print_ISBN
    978-1-4577-0398-0
  • Type

    conf

  • DOI
    10.1109/IFOST.2011.6021250
  • Filename
    6021250