• DocumentCode
    1843837
  • Title

    Intelligent reconfigurable control of robot manipulators

  • Author

    Chung, Jae H. ; Velinsky, Steven A.

  • Author_Institution
    Dept. of Mech. & Aeronaut. Eng., California Univ., Davis, CA, USA
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1994
  • Abstract
    One approach towards improving the reliability of high-performance robotic systems is to allow for the automatic reconfiguration of the robot´s control system to accommodate actuator failure and/or damage. The new concept of the extended plant and its identification in closed loop is introduced for developing a reconfigurable robot manipulator controller. It is made possible through the use of artificial neural networks. A simulation study demonstrates the effectiveness of the developed control algorithm
  • Keywords
    closed loop systems; feedback; identification; intelligent control; manipulator dynamics; motion control; neurocontrollers; robust control; closed loop systems; feedback; identification; intelligent control; motion control; neural networks; neurocontrol; reconfigurable control; robot manipulators; robust control; Automatic control; Control systems; Fuzzy systems; Intelligent control; Intelligent robots; Manipulators; Neural networks; Open loop systems; Robot control; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.832690
  • Filename
    832690