Control of a master-slave pneumatic system for teleoperated needle insertion in MRI
File(s)trans_jour0616_accepted.pdf (918.2 KB)
Accepted version
Author(s)
Franco, E
Rea, M
Gedroyc, W
Ristic, M
Type
Journal Article
Abstract
This paper presents the control of a pneumatically actuated master-slave system intended for teleoperated needle insertion in the liver under magnetic resonance imaging (MRI) guidance. It addresses the challenge of achieving accurate needle positioning and force feedback to the operator in the case of pneumatic actuation with significant friction. Using time-delay position control as the basis, we investigate force feedback via impedance control and admittance control. For impedance control, we propose a new adaptive friction compensation algorithm that only requires a single tuning parameter. Experiments on a 1-degree of freedom prototype system using silicone rubber phantoms with distinct densities highlight the differences between impedance control and admittance control, and demonstrate superior performance compared with a traditional impedance control scheme.
Date Issued
2016-10-01
Date Acceptance
2016-05-31
Citation
IEEE-ASME Transactions on Mechatronics, 2016, 21 (5), pp.2595-2600
ISSN
1083-4435
Publisher
Institute of Electrical and Electronics Engineers
Start Page
2595
End Page
2600
Journal / Book Title
IEEE-ASME Transactions on Mechatronics
Volume
21
Issue
5
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
Sponsor
Department of Health
Identifier
https://ieeexplore.ieee.org/document/7486014
Grant Number
II-AR-1109-11011
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Manufacturing
Engineering, Electrical & Electronic
Engineering, Mechanical
Engineering
Adaptive control
force control
medical robotics
pneumatic systems
TISSUE
BIOPSY
ROBOT
Industrial Engineering & Automation
0906 Electrical and Electronic Engineering
0910 Manufacturing Engineering
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2016-06-07