Neuromechanical force-based control of a powered prosthetic foot

被引:9
|
作者
Naseri, Amirreza [1 ]
Grimmer, Martin [2 ]
Seyfarth, Andre [2 ]
Sharbafi, Maziar Ahmad [2 ]
机构
[1] Tarbiat Modares Univ, Islamic Archaeol, Tehran, Iran
[2] Tech Univ Darmstadt, Lauflab Locomot Lab, Inst Sport Sci, Ctr Cognit Sci, Darmstadt, Germany
来源
WEARABLE TECHNOLOGIES | 2020年 / 1卷
关键词
force-based control; neuromechanical template model; neuromuscular model; prosthetic foot; ENERGY-EXPENDITURE; GAIT; WALKING; SPEED; AMPUTEES; FEEDBACK; MODEL;
D O I
10.1017/wtc.2020.6
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
This article presents a novel neuromechanical force-based control strategy called FMCA (force modulated compliant ankle), to control a powered prosthetic foot. FMCA modulates the torque, based on sensory feedback, similar to neuromuscular control approaches. Instead of using a muscle reflex-based approach, FMCA directly exploits the vertical ground reaction force as sensory feedback to modulate the ankle joint impedance. For evaluation, we first demonstrated how FMCA can predict human-like ankle torque for different walking speeds. Second, we implemented the FMCA in a neuromuscular transtibial amputee walking simulation model to validate if the approach can be used to achieve stable walking and to compare the performance to a neuromuscular reflex-based controller that is already used in a powered ankle. Compared to the neuromuscular model-based approach, the FMCA is a simple solution with a sufficient push-off that can provide stable walking. Third, to assess the ability of the FMCA to generate human-like ankle biomechanics during walking at the preferred speed, we implemented this strategy in a powered prosthetic foot and performed experiments with a non-amputee subject. The results confirm that, for this subject, FMCA can be used to mimic the non-amputee reference ankle torque and the reference ankle angle. The findings of this study support the applicability and advantages of a new bioinspired control approach for assisting amputees. Future experiments should investigate the applicability to other walking speeds and the applicability to the target population.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Force-based atomistic/continuum blending for multilattices
    Derek Olson
    Xingjie Li
    Christoph Ortner
    Brian Van Koten
    Numerische Mathematik, 2018, 140 : 703 - 754
  • [42] Force-based interaction for distributed precision assembly
    DeLuca, RT
    Rizzi, AA
    Hollis, RL
    EXPERIMENTAL ROBOTICS VII, 2001, 271 : 141 - 150
  • [43] SINUSOIDAL SYNTHESIS USING A FORCE-BASED ALGORITHM
    Kobayashi, Ryoho
    DAFX-14: 17TH INTERNATIONAL CONFERENCE ON DIGITAL AUDIO EFFECTS, 2014, : 19 - 22
  • [44] Telemanipulation with Force-based Display of Proximity Fields
    Navarro, Stefan Escaida
    Heger, Franz
    Putze, Felix
    Beyl, Tim
    Schultz, Tanja
    Hein, Bjoern
    2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2015, : 4568 - 4574
  • [45] A Study on Force-Based Collaboration in Flying Swarms
    Gabellieri, Chiara
    Tognon, Marco
    Pallottino, Lucia
    Franchi, Antonio
    SWARM INTELLIGENCE (ANTS 2018), 2018, 11172 : 3 - 15
  • [46] A discrete model for force-based elasticity and plasticity
    Dassios, Ioannis
    Tzounas, Georgios
    Milano, Federico
    Jivkov, Andrey
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2024, 444
  • [47] Localization issues in force-based frame elements
    Coleman, J
    Spacone, E
    JOURNAL OF STRUCTURAL ENGINEERING-ASCE, 2001, 127 (11): : 1257 - 1265
  • [48] Force-Based Needle Insertion for Medical Applications
    Love, Lonnie J.
    Jansen, John F.
    Lloyd, Peter D.
    2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 2592 - 2597
  • [49] ACTIVATION FORCE-BASED AIR POLLUTION TRACING
    Zhou, Huanyu
    Zhang, Ni
    Huang, Di
    Ma, Zhanyu
    Hu, Weisong
    Guo, Jun
    PROCEEDINGS OF 2016 5TH IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC 2016), 2016, : 427 - 431
  • [50] Ordinal Regression by a Generalized Force-Based Model
    Fernandez-Navarro, Francisco
    Riccardi, Annalisa
    Carloni, Sante
    IEEE TRANSACTIONS ON CYBERNETICS, 2015, 45 (04) : 844 - 857