• DocumentCode
    506695
  • Title

    Balancing control of Two-Wheeled Upstanding Robot using adaptive fuzzy control method

  • Author

    Ruan, Xiaogang ; Chen, Jing ; Cai, Jianxian ; Dai, Lizhen

  • Author_Institution
    Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    95
  • Lastpage
    98
  • Abstract
    A method based on direct adaptive fuzzy control was proposed according to upstanding-balancing control problem for two-wheeled upstanding robot. Different from the fuzzy control, it didn´t need to design the fuzzy rules in the beginning. And there was not strict limit to the constant before input. Experiments showed that the constant could be positive and negative, and could be a function in an interval with the same sign. The control result was almost the same. The simulation showed that the method had a better control result of upstanding and balancing for the robot even though the initial angle was larger. In contrast to the traditional fuzzy control, the scheme improved the stability effectively, and it was implemented that the stable control process for the two-wheeled upstanding robot from almost recumbent state to upstanding and balancing state.
  • Keywords
    adaptive control; fuzzy control; mobile robots; stability; direct adaptive fuzzy control; stable control process; two-wheeled upstanding robot; upstanding-balancing control problem; Adaptive control; Control engineering; Control systems; Fuzzy control; Fuzzy systems; Mobile robots; Process control; Programmable control; Stability; Wheels; Two-Wheeled Upstanding Robot; adaptive fuzzy control; fuzzy control; upstanding-balancing control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358152
  • Filename
    5358152