• DocumentCode
    2042981
  • Title

    Adaptive force control for position-controlled robot manipulators

  • Author

    Xiao Jizhong ; Zeng Xiangqiu ; Huang Yalou ; Lu Guizhang

  • Author_Institution
    Dept. of Autom. Control, East China Inst. of Technol., Nanjing, China
  • Volume
    4
  • fYear
    1993
  • fDate
    19-21 Oct. 1993
  • Firstpage
    94
  • Abstract
    This paper presents an adaptive force control method for robot manipulators based on Popov´s hyperstability criterion. As many researchers have found, one of the difficulties of the control problem is that the stability of the robot force control system is sensitive to the changes of the stiffness of the environment on which the force is exerted. To solve the problem, model reference adaptive control theory is used to identify the environment stiffness, and to determine an adaptive force feedback gain corresponding to the contacted environment. The theoretic analysis and experimental results show that this method can realize a stable force control when the environment stiffness changes to a sufficiently large extent.<>
  • Keywords
    Popov criterion; adaptive control; feedback; force control; manipulators; model reference adaptive control systems; position control; stability; Popov´s hyperstability criterion; adaptive force control method; adaptive force feedback gain; environment stiffness; model reference adaptive control theory; position-controlled robot manipulators; stability; Adaptive control; Bandwidth; Force control; Gears; Kinematics; Manipulators; Motion control; Programmable control; Robots; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-1233-3
  • Type

    conf

  • DOI
    10.1109/TENCON.1993.320442
  • Filename
    320442