• DocumentCode
    2719792
  • Title

    Modeling of force sensing and validation of disturbance observer for force control

  • Author

    Katsura, Seiichiro ; Matsumoto, Yuichi ; Ohnishi, Kouhei

  • Author_Institution
    Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
  • Volume
    1
  • fYear
    2003
  • fDate
    2-6 Nov. 2003
  • Firstpage
    291
  • Abstract
    Controlling robots in contact with environment is the important problem in industry applications. In order to solve the instability in force control, the velocity feedback gain is enlarged. The system becomes unstable with small velocity feedback gain, and robot´s response becomes slow with large one. Since there is trade-off between stability and responsivity, it is thought that force control by robots is difficult. In the conventional force control, great many researches have paid attention to develop novel force control systems and implemented force sensors to detect external force. This paper shows that feedback of the value of force sensor makes attainment of force control difficult. The novel analysis technique of force control that force sensor is modeled by 2 mass resonant system is shown. Force control is attainable with the construction of the easiest force control system by feedback the value of reaction torque observer. Sensor-less force control is the one of the fundamental techniques for evolution of human-cooperating robot, tele-robotics, robotic virtual reality and so on. The numerical and experimental results show viability of the proposed method.
  • Keywords
    feedback; force control; force sensors; haptic interfaces; manipulators; motion control; observers; virtual reality; 2 mass resonant system; disturbance observer; force control; force sensing; force sensors; human cooperating robot; instability; motion control; reaction torque observer; robot control; robotic virtual reality; telerobotics; velocity feedback gain; Force control; Force feedback; Force sensors; Industry applications; Resonance; Robot control; Robot sensing systems; Service robots; Stability; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
  • Print_ISBN
    0-7803-7906-3
  • Type

    conf

  • DOI
    10.1109/IECON.2003.1279994
  • Filename
    1279994