• DocumentCode
    2797698
  • Title

    Robust Control Method Applied in Self-Balancing Two-Wheeled Robot

  • Author

    Yau, Her-Terng ; Wang, Cheng-Chi ; Pai, Neng-Sheng ; Jang, Ming-Jyi

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
  • Volume
    1
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    268
  • Lastpage
    271
  • Abstract
    Since the beginning of the new millennium, the self-balancing two-wheeled robot (SBTWR) has become more and more popular due to its responsive yet precise movement and pollution-free. This paper is devoted to investigating both the dynamics analysis and the balance control for a SBTWR which is inherently unstable. In this dissertation, we present a robust control algorithm to stabilize the unstable SBTWR. By the Lyapunov stability theory with control term, a suitable sliding surface is proposed to ensure the stability of the controlled closed-loop system in sliding mode. Then, a sliding mode controller is designed to guarantee the hitting of the sliding surface even when the system contains system uncertainties and external disturbances. A computer simulation demonstrates the feasibility of the proposed control schemes.
  • Keywords
    Lyapunov methods; closed loop systems; control system synthesis; digital simulation; mechanical stability; mobile robots; robot dynamics; robust control; variable structure systems; Lyapunov stability theory; balance control; closed loop system; computer simulation; dynamics analysis; precise movement; robust control algorithm; self balancing two-wheeled robot; sliding mode controller; sliding surface; Computer simulation; Control systems; Lyapunov method; Pollution; Robots; Robust control; Sliding mode control; Stability; Surface contamination; Uncertainty; Lyapunov stability theory; balance control; robot; robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.234
  • Filename
    5362205