Pressure Control of a Pneumatic Artificial Muscle Including Pneumatic Circuit Model

被引:11
|
作者
Tagami, Toshihiro [1 ]
Miyazaki, Tetsuro [1 ]
Kawase, Toshihiro [1 ,2 ]
Kanno, Takahiro [1 ]
Kawashima, Kenji [1 ]
机构
[1] Tokyo Med & Dent Univ, Inst Biomat & Bioengn, Dept Biomech, Tokyo 1010062, Japan
[2] Tokyo Inst Technol, Inst Innovat Res, Yokohama, Kanagawa 2268503, Japan
关键词
Pipeline; pneumatic artificial muscle; pneumatic circuit model; pneumatic control; power assist robot; SYSTEM; DESIGN; MANIPULATOR; ACTUATORS; CYLINDER; TRACKING;
D O I
10.1109/ACCESS.2020.2983602
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Various applications using pneumatic artificial muscles (PAMs) have been developed in recent years. When the pressure of the PAM is controlled, it is desirable to position a pressure sensor at the control port of a servo valve through a pipeline for improvement in usability, environment resistance, and elimination of mechanical complexity. However, the responsiveness of the pressure control worsens due to the volume and pressure losses through the pipeline. In this paper, we propose a pneumatic circuit model to compensate for such losses through the pipeline and a method to estimate the pressure at the PAM inlet. The proposed method improves the responsiveness of the pressure control by positioning a pressure sensor at the control port of the servo valve. We developed an experimental apparatus that simulates the mechanism of our power assist robot, and it was used for performance evaluation experiments of the conventional and proposed pressure control methods. When a sinusoidal pressure target value with a frequency of 1.5 Hz and load mass of 8 kg was fed as input, the errors between the measured and target values in the conventional and proposed control were approximately 45 and 20 kPa, respectively. The reduced error confirmed that the responsiveness of the pressure control was improved by the proposed method.
引用
收藏
页码:60526 / 60538
页数:13
相关论文
共 50 条
  • [31] Active Model-Based Hysteresis Compensation and Tracking Control of Pneumatic Artificial Muscle
    Qin, Yanding
    Zhang, Haoqi
    Wang, Xiangyu
    Han, Jianda
    SENSORS, 2022, 22 (01)
  • [32] 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
  • [33] Active Modeling for Pneumatic Artificial Muscle
    Zhang, Daohui
    Zhao, Xingang
    Han, Jianda
    2016 IEEE 14TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL (AMC), 2016, : 44 - 50
  • [34] Pneumatic artificial muscle in biomedical applications
    Ramasamy, Ramesh
    Juhari, Mohamed Rizon
    Sugisaka, Masanori
    Osman, Noor Azuan
    3RD KUALA LUMPUR INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING 2006, 2007, 15 : 219 - +
  • [35] Modeling and control of a pneumatic artificial muscle manipulator joint - Part I: Modeling of a pneumatic artificial muscle manipulator joint with accounting for creep effect
    Tri Vo Minh
    Kamers, Bram
    Ramon, Herman
    Van Brussel, Hendrik
    MECHATRONICS, 2012, 22 (07) : 923 - 933
  • [36] Novel Compliant Control of a Pneumatic Artificial Muscle Driven by Hydrogen Pressure Under a Varying Environment
    Nuchkrua, Thanana
    Leephakpreeda, Thananchai
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (07) : 7120 - 7129
  • [37] Mathematical model of pneumatic artificial muscle reinforced by straight fibers
    Saga, Norihiko
    Nakamura, Taro
    Yaegashii, Kenji
    JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2007, 18 (02) : 175 - 180
  • [38] Pneumatic Artificial Muscle Actuation and Modeling
    Leephakpreeda, Thananchai
    Wickramatunge, Kanchana C.
    IAENG TRANSACTIONS ON ENGINEERING TECHNOLOGIES, VOL 3, 2009, 1174 : 282 - 296
  • [39] Hysteresis Characteristics of Pneumatic Artificial Muscle
    Cui Tingqiong
    Liang Shuang
    Luo TianHong
    Huang YaTing
    Fu Qiang
    Ma XiangYu
    Huang Yi
    Wu XiaoKai
    2024 8TH INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND AUTOMATION, ICRCA 2024, 2024, : 334 - 337
  • [40] APAM: Antagonistic Pneumatic Artificial Muscle
    Usevitch, Nathan S.
    Okamura, Allison M.
    Hawkes, Elliot W.
    2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2018, : 1539 - 1546