Taddese, AZ, Slawinski, P, Obstein, KL et al. (1 more author) (2016) Nonholonomic Closed-loop Velocity Control of a Soft-tethered Magnetic Capsule Endoscope. In: Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 09-14 Oct 2016, Daejeon, Korea. IEEE , pp. 1139-1144. ISBN 978-1-5090-3762-9
Abstract
In this paper, we demonstrate velocity-level closedloop control of a tethered magnetic capsule endoscope that is actuated via serial manipulator with a permanent magnet at its end-effector. Closed-loop control (2 degrees-of-freedom in position, and 2 in orientation) is made possible with the use of a real-time magnetic localization algorithm that utilizes the actuating magnetic field and thus does not require additional hardware. Velocity control is implemented to create smooth motion that is clinically necessary for colorectal cancer diagnostics. Our control algorithm generates a spline that passes through a set of input points that roughly defines the shape of the desired trajectory. The velocity controller acts in the tangential direction to the path, while a secondary position controller enforces a nonholonomic constraint on capsule motion. A soft nonholonomic constraint is naturally imposed by the lumen while we enforce a strict constraint for both more accurate estimation of tether disturbance and hypothesized intuitiveness for a clinician’s teleoperation. An integrating disturbance force estimation control term is introduced to predict the disturbance of the tether. This paper presents the theoretical formulations and experimental validation of our methodology. Results show the system’s ability to achieve a repeatable velocity step response with low steady-state error as well as ability of the tethered capsule to maneuver around a bend.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2016 IEEE. This is an author produced version of a paper published in Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Uploaded in accordance with the publisher’s self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Funding Information: | Funder Grant number Royal Society Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Aug 2016 11:21 |
Last Modified: | 13 Apr 2017 08:08 |
Published Version: | https://doi.org/10.1109/IROS.2016.7759192 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/IROS.2016.7759192 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103684 |