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Energy-based control of a passive haptic device

  • Changhyun Cho*
  • , Jae Bok Song
  • , Munsang Kim
  • , Chang Soon Hwang
  • *Corresponding author for this work

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    In this paper, we propose an energy-based control method of a passive haptic device equipped with electric brakes. Unstable behavior is observed in the passive haptic system due to time delay mainly arising from the slow update rate of the virtual environment. From the passive FME (Force Manipulability Ellipsoid) analysis, a so-called direct force control method is proposed in this paper. Its gain is computed by force analysis at the end-effector of a passive haptic device so that the component of a resultant force at the end-effector causing a pullback motion becomes zero. However, this direct force control scheme requires precise measurement of the hand force input by a human operator. We also propose the indirect force control scheme in which the gain in the direct force control scheme is computed using the notion of passivity without resorting to the high precision force sensor. For the experiments a 2-link passive haptic system was developed in this research. Various experiments have been conducted to investigate the validity of both direct and indirect force control schemes proposed in this paper. It is shown that both schemes produce satisfactory performance in the force display for the wall-following task on the virtual wall.

    Original languageEnglish
    Pages (from-to)292-297
    Number of pages6
    JournalProceedings - IEEE International Conference on Robotics and Automation
    Volume2004
    Issue number1
    Publication statusPublished - 2004
    EventProceedings- 2004 IEEE International Conference on Robotics and Automation - New Orleans, LA, United States
    Duration: 2004 Apr 262004 May 1

    Keywords

    • Direct force control
    • Indirect force control
    • Passive haptic device
    • Passivity

    ASJC Scopus subject areas

    • Software
    • Control and Systems Engineering
    • Artificial Intelligence
    • Electrical and Electronic Engineering

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