Qian, K, Zhang, Z orcid.org/0000-0003-0204-3867, Chakrabarty, S orcid.org/0000-0002-4389-8290 et al. (1 more author) (2021) Iterative Impedance Learning Control for Ankle Rehabilitation. In: 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP). 2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 26-28 Nov 2021, Shanghai, China. IEEE , pp. 492-497. ISBN 978-1-6654-3154-5
Abstract
In this paper, impedance learning control is investigated for conducting robot-aided ankle rehabilitation. Under repetitive interaction tasks, the ankle dynamic is described as a time-varying iterative system with unknown mechanical impedance parameters. The gradient following approach and iterative learning algorithm are employed to obtain a desired impedance model. With learned parameters, an inner torque controller with robot dynamic compensation is implemented for tracking the modified trajectory. Experimental results with an ankle rehabilitation robot prototype validate the efficacy of proposed method.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 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. |
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) > Robotics, Autonomous Systems & Sensing (Leeds) The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/S019219/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Mar 2022 11:28 |
Last Modified: | 15 Mar 2022 11:28 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/m2vip49856.2021.9665027 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:184751 |