• DocumentCode
    569702
  • Title

    Identification of underactuated manipulator based on genetic algorithm

  • Author

    Xu, Wuxiao ; Liu, Jinkun

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ. (BUAA), Beijing, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    653
  • Lastpage
    656
  • Abstract
    This paper deals with the identification of an underactuated manipulator-Pendubot. The method of genetic algorithm can be applied for inertial parameters identification of the underactuated manipulator system after transformations. It is shown that the method is able to directly identify inertial parameters effectively. This method is more effective, when the end of the second link of the manipulator takes an unknown load. Simulations for underactuated manipulator-Pendubot system are presented.
  • Keywords
    genetic algorithms; identification; manipulators; Pendubot; genetic algorithm; inertial parameters identification; underactuated manipulator; Genetic algorithms; Joints; Manipulator dynamics; Parameter estimation; Pollution measurement; Pendubot; genetic algorithm; parameters identification; underactuated manipulator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-0312-5
  • Type

    conf

  • DOI
    10.1109/INDIN.2012.6301233
  • Filename
    6301233