• DocumentCode
    1768607
  • Title

    Organ rupture detection algorithm of surgical robot

  • Author

    Ju Seok Kang ; Rahman, Nayem ; Sung Min Yoon ; Cha, Gm Gang ; Min Cheol Lee

  • Author_Institution
    Sch. of Mech. Eng., Pusan Nat. Univ., Busan, South Korea
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    778
  • Lastpage
    781
  • Abstract
    Reaction force estimation is the major challenge of surgical robotic procedures. In previous research, sliding mode control with sliding perturbation observer (SMCSPO) is used to estimate the reaction force in the sensor-less system. Moreover, a fuzzy-SPO method is also proposed to separate actual reaction force in presence of dynamic disturbances. However, in both those research, some physical constraints determined the SMCSPO parameters, which play a vital role in the force estimation sensitivity. The force sensitivity of the algorithm is equally important because extra force can cause organ impairment, rupture during surgery. Therefore, in this study, the force resolutions of the SPO and fuzzy-SPO for a robotic model have studied by Matlab simulation and it has seen that fuzzy-SPO performs better than classical SPO.
  • Keywords
    force control; fuzzy control; medical robotics; observers; surgery; variable structure systems; Matlab simulation; SMCSPO; force sensitivity; fuzzy-SPO method; organ rupture detection algorithm; reaction force estimation; sliding mode control; sliding perturbation observer; surgical robot; Equations; Force; MATLAB; Mathematical model; Haptics; reaction force; sliding mode control with sliding perturbation observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2014 14th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2093-7121
  • Print_ISBN
    978-8-9932-1506-9
  • Type

    conf

  • DOI
    10.1109/ICCAS.2014.6987884
  • Filename
    6987884