Empirical Modeling of Pneumatic Artificial Muscle

被引:0
|
作者
Wickramatunge, K. C. [1 ]
Leephakpreeda, T. [1 ]
机构
[1] Thammasat Univ, Sirindhorn Int Inst Technol, Pathum Thani 12121, Thailand
关键词
Empirical modeling; mechanical spring system; pneumatic artificial muscle; stiffness parameter;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Pneumatic Artificial Muscle (PAM) yields natural muscle-like actuator with high force to weight ratio, soft and flexible structure, and adaptable compliance for rehabilitation and prosthetic appliances to the disabled. To obtain optimum design and usage, there is significance to understand mechanical behavior of the PAM. In this study, experimental results reveal empirical modeling for relations of physical variables in contraction and air-pressure of the PAM to mechanical characteristics, that is stiffness and force of the PAM available in market.
引用
收藏
页码:1726 / 1730
页数:5
相关论文
共 50 条
  • [21] Pulse width modulation modeling for efficient pneumatic artificial muscle control
    Rimar, Miroslav
    Fedak, Marcel
    Corny, Ivan
    Kulikov, Andrii
    Kuna, Stefan
    Kulikova, Olha
    Vahovsky, Jakub
    ADVANCES IN MECHANICAL ENGINEERING, 2019, 11 (12)
  • [22] Modeling, Analysis and Verification of Transient Dynamics of Pneumatic Bending Artificial Muscle
    Du H.
    Xu X.
    Shao R.
    Xiong W.
    Wang H.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2023, 59 (21): : 199 - 208
  • [23] An Application of Finite Element Modeling to Pneumatic Artificial Muscle from FESTO
    Visan, Alexandra Liana
    Alexandrescu, Nicolae
    Nita, Ionel
    ADVANCED MATERIALS RESEARCH II, PTS 1 AND 2, 2012, 463-464 : 818 - +
  • [24] Modeling and Precise Control of a Pneumatic Artificial Muscle based on Deep Learning
    Lee, Jae Seung
    Kim, Kyeong Mo
    Kang, Bong Soo
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2021, 45 (01) : 35 - 42
  • [25] Modeling of Pneumatic Artificial Muscle with Kinetic Friction and Sliding Mode Control
    Slightam, Jonathon E.
    Nagurka, Mark L.
    2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 3342 - 3347
  • [26] Dynamic Modeling and Analysis for Dual Pneumatic Artificial Muscle Actuated Manipulators
    Liang, Dingkun
    Sun, Ning
    Wu, Yiming
    Chen, Yiheng
    Fang, Yongchun
    2019 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2019, : 691 - 696
  • [27] Piecewise Affine Modeling and Constrained Optimal Control for a Pneumatic Artificial Muscle
    Andrikopoulos, George
    Nikolakopoulos, George
    Arvanitakis, Ioannis
    Manesis, Stamatis
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 61 (02) : 904 - 916
  • [28] Modeling and analysis of bending pneumatic artificial muscle with multi-degree of freedom
    Xiao, Wei
    Hu, Dean
    Chen, Weixiong
    Yang, Gang
    Han, Xu
    SMART MATERIALS AND STRUCTURES, 2021, 30 (09)
  • [29] Modeling and Analysis of a High-Displacement Pneumatic Artificial Muscle With Integrated Sensing
    Yang, Hee Doo
    Greczek, Brandyn T.
    Asbeck, Alan T.
    FRONTIERS IN ROBOTICS AND AI, 2019, 5
  • [30] EPAM: Eversive Pneumatic Artificial Muscle
    Abrar, T.
    Putzu, F.
    Konstantinova, J.
    Althoefer, K.
    2019 2ND IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT 2019), 2019, : 19 - 24