Continuous instinct control for powered knee-ankle prostheses

In order to improve the life quality of lower extremity amputees, many researchers have studied the powered knee-ankle prosthesis. Various parameters must necessarily be adjusted for the finite state machine impedance model method. Hybrid zero-dynamic (HZD) assumptions are ideal, and with this metho...

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Main Authors: Shen Kaixin, Wei Qing, Huang Yongshang, Ma Hongxu
Format: Article
Language:English
Published: EDP Sciences 2020-01-01
Series:MATEC Web of Conferences
Subjects:
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_04011.pdf
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spelling doaj-890c934233f64d8481a61840257132542021-08-05T13:49:42ZengEDP SciencesMATEC Web of Conferences2261-236X2020-01-013090401110.1051/matecconf/202030904011matecconf_cscns2020_04011Continuous instinct control for powered knee-ankle prosthesesShen Kaixin0Wei Qing1Huang Yongshang2Ma Hongxu3Robotics Research Center, College of Intelligence Science and Technology, National University of Defense TechnologyRobotics Research Center, College of Intelligence Science and Technology, National University of Defense TechnologyRobotics Research Center, College of Intelligence Science and Technology, National University of Defense TechnologyRobotics Research Center, College of Intelligence Science and Technology, National University of Defense TechnologyIn order to improve the life quality of lower extremity amputees, many researchers have studied the powered knee-ankle prosthesis. Various parameters must necessarily be adjusted for the finite state machine impedance model method. Hybrid zero-dynamic (HZD) assumptions are ideal, and with this method measurement information of existing sensors can be limited. The virtual constraint method offers better comprehensive performance at present and can realize the continuous control for the whole gait cycle. The problem with virtual constraint is mainly the selection of phase variables. The joint trajectory of the virtual constraint is derived from a healthy individual, but the joint trajectory of the amputee’s normal walking is difficult to obtain. In response to the above problems, this paper proposes an instinctive human joint trajectory, selecting the phase variable associated with the hip joint angle and angular velocity. The Fourier transform solves the expression of the joint trajectory, and the virtual constraint unifies the control method of the entire gait cycle. The simulation results prove the feasibility of the scheme.https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_04011.pdfpowered knee-ankle prosthesesvirtual constraintphase variableinstinctcontinuous
collection DOAJ
language English
format Article
sources DOAJ
author Shen Kaixin
Wei Qing
Huang Yongshang
Ma Hongxu
spellingShingle Shen Kaixin
Wei Qing
Huang Yongshang
Ma Hongxu
Continuous instinct control for powered knee-ankle prostheses
MATEC Web of Conferences
powered knee-ankle prostheses
virtual constraint
phase variable
instinct
continuous
author_facet Shen Kaixin
Wei Qing
Huang Yongshang
Ma Hongxu
author_sort Shen Kaixin
title Continuous instinct control for powered knee-ankle prostheses
title_short Continuous instinct control for powered knee-ankle prostheses
title_full Continuous instinct control for powered knee-ankle prostheses
title_fullStr Continuous instinct control for powered knee-ankle prostheses
title_full_unstemmed Continuous instinct control for powered knee-ankle prostheses
title_sort continuous instinct control for powered knee-ankle prostheses
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2020-01-01
description In order to improve the life quality of lower extremity amputees, many researchers have studied the powered knee-ankle prosthesis. Various parameters must necessarily be adjusted for the finite state machine impedance model method. Hybrid zero-dynamic (HZD) assumptions are ideal, and with this method measurement information of existing sensors can be limited. The virtual constraint method offers better comprehensive performance at present and can realize the continuous control for the whole gait cycle. The problem with virtual constraint is mainly the selection of phase variables. The joint trajectory of the virtual constraint is derived from a healthy individual, but the joint trajectory of the amputee’s normal walking is difficult to obtain. In response to the above problems, this paper proposes an instinctive human joint trajectory, selecting the phase variable associated with the hip joint angle and angular velocity. The Fourier transform solves the expression of the joint trajectory, and the virtual constraint unifies the control method of the entire gait cycle. The simulation results prove the feasibility of the scheme.
topic powered knee-ankle prostheses
virtual constraint
phase variable
instinct
continuous
url https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_04011.pdf
work_keys_str_mv AT shenkaixin continuousinstinctcontrolforpoweredkneeankleprostheses
AT weiqing continuousinstinctcontrolforpoweredkneeankleprostheses
AT huangyongshang continuousinstinctcontrolforpoweredkneeankleprostheses
AT mahongxu continuousinstinctcontrolforpoweredkneeankleprostheses
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