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Title: A new approach of friction model for tendon-sheath actuated surgical systems : nonlinear modelling and parameter identification
Authors: Do, T. N.
Tjahjowidodo, Tegoeh
Lau, Michael Wai Shing
Phee, Soo Jay
Keywords: DRNTU::Engineering::Mechanical engineering::Mechatronics
Issue Date: 2014
Source: Do, T. N., Tjahjowidodo, T., Lau, M. W. S., & Phee, S. J. (2015). A new approach of friction model for tendon-sheath actuated surgical systems : nonlinear modelling and parameter identification. Mechanism and machine theory, 85, 14-24.
Series/Report no.: Mechanism and machine theory
Abstract: Nonlinear friction in tendon-sheath mechanism (TSM) introduces difficulties in predicting the end-effector force inside the human body during surgical procedures. This brings a critical challenge for surgical robots that need high fidelity in haptic devices. This paper presents a new friction model for a TSM in surgical robots. The model considers the TSM as an element disregarding the tendon sheath curvature and permits an arbitrary configuration of sheath. It allows for the accurate modelling of friction force at both sliding and presliding regimes. Unlike existing approaches in the literature, the model employs not only velocity but also acceleration information. It is also able to capture separate hysteresis branches in the large displacement using a unique differential equation. Transition between the two regimes is smooth. To validate the approach, an experimental setup is developed to measure the tensions at both ends of the TSM. The model parameters are identified and experimentally validated using an optimization method and different types of input signals. It assures an accurate prediction of nonlinear hysteresis behavior of TSM, especially at near zero velocities. This model can be used to provide an estimate of the friction force in a haptic feedback device to the surgeons.
ISSN: 0094-114X
DOI: 10.1016/j.mechmachtheory.2014.11.003
Rights: © 2014 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Mechanism and Machine Theory, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [ 10.1016/j.mechmachtheory.2014.11.003].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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