Characteristics Evaluation of Stretchable Strain Sensor for Control of Pneumatic Artificial Muscle

被引：0

作者：

Nakamoto, Hiroyuki ^{[1
]}

Oida, Soushi ^{[1
]}

Ootaka, Hideo ^{[2
]}

Tada, Mitsunori ^{[3
]}

Hirata, Ichiro ^{[4
]}

Kobayashi, Futoshi ^{[1
]}

Kojima, Fumio ^{[1
]}

机构：

[1] Kobe Univ, Grad Sch Sysmtem Informat, Nada Ku, 1-1 Rokkodaicho, Kobe, Hyogo 6578501, Japan

[2] Bando Chem Ind, Chuo Ku, Kobe, Hyogo 6500047, Japan

[3] Natl Inst Adv Ind Sci & Technol, Digital Human Res Ctr, Koto Ku, Tokyo 1350064, Japan

[4] Hyogo Prefectural Inst Technol, Suma Ku, Kobe, Hyogo 6540037, Japan

来源：

2015 10TH ASIAN CONTROL CONFERENCE (ASCC) | 2015年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Precise measurement of stretching and contration of pneumatic artificial muscles is required to realize applications such as human friendly robotic systems or nursing care support systems because the artificial muscles which are mainly made from elastic materials have non-linear characteristics. To measure the length of the artificial muscles directly, we propose a stretchable strain sensor. The strain sensor has a simple and three-layer structure. The thinness of the strain sensor makes its low modulus of elasticity. In addition, the strain sensor is a light weight. In this paper, the principle of the sensor is described. Some fundamental experiments evaluate the effectiveness of the strain sensor. The strain sensor produces contraction and stretching of the artificial muscle based on a periodic wave input. Therefore, we confirm that the strain sensor has an ability to control the artificial muscle.

引用

页数：6

共 50 条

[41] Stretchable Strain Sensor: Characterization And Applications
Longo, Giuseppe
Liguori, Rosalba
Di Benedetto, Luigi
Licciardo, Gian Domenico
Rubino, Alfredo
2024 IEEE INTERNATIONAL CONFERENCE ON FLEXIBLE AND PRINTABLE SENSORS AND SYSTEMS, FLEPS 2024, 2024,
[42] A neuroadaptive control method for pneumatic artificial muscle systems with hardware experiments
Chen, Yiheng
Sun, Ning
Liang, Dingkun
Qin, Yanding
Fang, Yongchun
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 146
[43] Overview of control methods for pneumatic artificial muscle-actuated robots
Liang D.-K.
Chen Y.-H.
Sun N.
Wu Y.-M.
Liu L.-Q.
Fang Y.
Kongzhi yu Juece/Control and Decision, 2021, 36 (01): : 27 - 41
[44] Bio-inspired Modeling and Position Control for Pneumatic Artificial Muscle
Fu, Hang
Liu, Yang
Chen, Jiahao
2020 35TH YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2020, : 697 - 701
[45] Fabrication, Characterization and Control of Knit-Covered Pneumatic Artificial Muscle
Jamil, Babar
Lee, Seulah
Choi, Youngjin
IEEE ACCESS, 2019, 7 : 84770 - 84783
[46] Control of robot arm using pneumatic artificial muscle with spherical joint
Yaegashi, Kenji
Saga, Norihiko
Satoh, Toshiyuki
2005 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATIONS, VOLS 1-4, CONFERENCE PROCEEDINGS, 2005, : 1093 - 1098
[47] Adaptive inverse compensation control of the vertical pneumatic artificial muscle system
Xiao H.
Meng Q.-X.
Yan Z.
Zhao S.-Y.
Lai X.-Z.
Wu M.
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2023, 40 (10): : 1703 - 1712
[48] Fuzzy PID Control of Parallel Platform Actuated by Pneumatic Artificial Muscle
Li F.
Chen Q.
Liu K.
Wu Y.
Chen Y.
Wang M.
Yao J.
Liu, Kai (liukai@nuaa.edu.cn), 1600, Chinese Academy of Sciences (43): : 140 - 147
[49] 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
[50] 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)

← 1 2 3 4 5 →