• DocumentCode
    2273873
  • Title

    A hierarchical fuzzy controller using line-curvature feature extraction for a single link flexible arm

  • Author

    Akbarzadeh-Totonchi, Mohammad R. ; Jamshidi, Mo ; Vadiee, Nader

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
  • fYear
    1994
  • fDate
    26-29 Jun 1994
  • Firstpage
    524
  • Abstract
    A two-level hierarchical fuzzy controller is developed for a single flexible link. The second level of hierarchy monitors the behavior of the robot arm and extracts features such as straight, oscillatory, gently curved. This is accomplished using a fuzzy feature extraction technique which incorporates line-curvature data computed over a finite number of discrete points along the length of the robot arm. The line-curvature data are computed from measurements of a finite number of strain sensors. The fuzzy features such as straight, oscillatory, gently curved, the angular position measurements of the tip of the robot arm, and the torque of the motor constitute a basis of information for the first level of the hierarchical fuzzy controller
  • Keywords
    feature extraction; fuzzy control; hierarchical systems; manipulators; angular position measurements; discrete points; fuzzy feature extraction; hierarchical fuzzy controller; line-curvature; line-curvature data; motor torque; single link flexible robot arm; strain sensors; Control systems; Data mining; Feature extraction; Fuzzy control; Fuzzy systems; Intelligent robots; Robot control; Robot sensing systems; Service robots; Strain measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1896-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1994.343730
  • Filename
    343730