• DocumentCode
    2695758
  • Title

    Two complementary techniques for motion control of power assist system for lifting objects based on human characteristics

  • Author

    Rahman, S. M Mizanoor ; Ikeura, Ryojun ; Nobe, Masaya ; Sawai, Hideki

  • Author_Institution
    Dept. of Mech. Eng., Mie Univ., Tsu, Japan
  • fYear
    2010
  • fDate
    8-10 Sept. 2010
  • Firstpage
    1596
  • Lastpage
    1601
  • Abstract
    A power assist system reduces the weight of an object lifted with it. But, the human operator cannot differentiate between the perceived weight and the actual weight and eventually applies excessive load force. This faulty force programming (excessive load force) results in faulty motions of the power assist system and jeopardizes its maneuverability, ease of use, naturalness, human-friendliness, safety etc. This article presents two complementary techniques for motion control of a power assist system for lifting objects. The first technique controls the motion of the power-assist-lifted object by optimizing the perceived heaviness, haptic and tactile sensations. The second technique controls the motion by applying a novel control strategy based on load force and perceived weight. The two techniques together optimize the motion of the power-assist-lifted object. The findings can be used to develop power assist robot systems for carrying heavy objects in various industries.
  • Keywords
    force control; industrial robots; lifting; motion control; power control; faulty force programming; haptic sensation; human characteristics; load force; motion control; object lifting; perceived heaviness; perceived weight; power assist robot systems; power assist system; tactile sensation; Delay effects; Fasteners; Force; Industries; Load modeling; Servomotors; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2010 IEEE International Conference on
  • Conference_Location
    Yokohama
  • Print_ISBN
    978-1-4244-5362-7
  • Electronic_ISBN
    978-1-4244-5363-4
  • Type

    conf

  • DOI
    10.1109/CCA.2010.5611296
  • Filename
    5611296