• DocumentCode
    2643191
  • Title

    Neuro-fuzzy control of a power assist Omni-directional Wheelchair to enhance maneuverability

  • Author

    Urbano, Juan ; Terashima, Kazuhiko ; Kitagawa, Hideo

  • Author_Institution
    Dept. of Production Syst. Eng., Toyohashi Univ. of Technol.
  • fYear
    2006
  • fDate
    4-6 Oct. 2006
  • Firstpage
    939
  • Lastpage
    946
  • Abstract
    For helping attendants of handicapped people and elderly people, a power assist system has been added to an omni-directional wheelchair (OMW). With this addition it is possible for the attendants to deal with heavy loads, but there is a problem of operability when the attendants want to move the OMW laterally or rotate around OMW´s gravity center (CG). In this paper, for solving this problem, a fuzzy reasoning method has been proposed for estimating the navigation direction according to the force added by the attendants to the handgrips of the handle of the OMW. A neuro-fuzzy system (ANFIS) is used for the tuning of the membership functions of the fuzzy system according to each attendant´s characteristics, by using the input data of the attendants
  • Keywords
    biomedical equipment; fuzzy control; fuzzy reasoning; handicapped aids; medical control systems; motion control; neurocontrollers; path planning; elderly people; fuzzy reasoning; handicapped people; maneuverability; navigation direction estimation; neurofuzzy control; power assist omnidirectional wheelchair; Arm; Character generation; Control systems; Force sensors; Fuzzy reasoning; Fuzzy systems; Gravity; Navigation; Senior citizens; Wheelchairs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
  • Conference_Location
    Munich
  • Print_ISBN
    0-7803-9797-5
  • Electronic_ISBN
    0-7803-9797-5
  • Type

    conf

  • DOI
    10.1109/CACSD-CCA-ISIC.2006.4776771
  • Filename
    4776771