Characterization of Pneumatic Artificial Muscle System in an Opposing Pair Configuration

Authors

  • T.F. Tang Motion Control Research Laboratory, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka
  • S.H. Chong Motion Control Research Laboratory, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka
  • M.H. Tan Motion Control Research Laboratory, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka
  • C.Y. Chan Motion Control Research Laboratory, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka
  • K. Sato Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan

Abstract

Pneumatic artificial muscle (PAM) is a pneumatic actuator that commonly used in the biomimetic robotic devices in rehabilitation applications due to its advantageous in high powerto-weight ratio and high degree of safety in use characteristics. Several techniques exist in the literature for the PAM system modeling, and these include theoretical modeling, phenomenological modeling and empirical modeling. This paper focuses on explaining the experimental setup of an opposing pair configuration of PAM system, and gives an analysis of the pneumatic muscle system dynamic in the theoretical modeling. The simulated dynamic model is compared with the actual PAM system for the validation in the open-loop step and sinusoidal positioning responses and pressures. It is concluded that the simulation result is verified and agreed with the actual system.

References

S. Wang, K. Sato, and T. Kagawa, “Precise positioning of pneumatic artificial muscle systems”, Journal of Flow Control, Measurement & Visualization, 2014, 2:138-153.

Z. Wong, C. Teng, and Y. Z. Chong, Power assisted pnumatic-based knee-ankle-foot-orthosis for rehabilitation. IEEE-EMBS Conference on Biomedical Engineering and Sciences, 2012, 300-304.

S. Balasubramanian, J. Ward, T. Sugar, and J. He, “Characterization of the dynamic properties of pneumatic muscle actuators” IEEE 10th International Conference on Rehabilitation Robotics, 2007, 764-770.

T. G. Sugar, Jiping He, E. J. Koeneman, J. B. Koeneman, R. Herman, H. Huang, R. S. Schultz, D. E. Herring, J. Wanberg, S. Balasubramanian, P. Swenson, and J. A. Ward, “Design and control of RUPERT: a device for robotic upper extremity repetitive therapy”, IEEE transactions on Neural Systems and Rehabilitation Engineering, 2007, 15(3):336-346.

T. Noritsugu, M. Takaiwa, and D. Sasaki, “Pneumatic rubber artificial muscles and application to welfare robotics”, Next-Generation Actuators Leading Breakthroughs, 2010, 255-266.

S. Hussain, S. Q. Xie, and P. K. Jamwal, “Robust nonlinear control of an intrinsically compliant robotic gait training orthosis”, IEEE Transactions Systems, Man, Cybernetics: Systems, 2013, 43(3):655-665.

Ching-Ping Chou, and B. Hannaford, “Measurement and modeling of McKibben pneumatic artificial muscles”, IEEE Transactions on Robotics and Automation, 1996, 12(1):90-102.

B. Tondu, and P. Lopez, “Modeling and control of McKibben artificial muscle robot actuators”, IEEE Control Systems Magazine, 2000, 20(2):15-38.

M. Doumit, A. Fahim, and M. Munro, “Analytical modeling and experimental validation of the braided pneumatic muscle”, IEEE Transactions on Robotics, 2009, 25(6):1282-1291.

D. B. Reynolds, D. W. Repperger, C. A. Phillips, and G. Bandry,“Modeling the dynamic characteristics of pneumatic muscle”, Annals of Biomedical Engineering, 2003, 31(3):310-317.

H. Li, K. Kawashima, K. Tadano, S. Ganguly, and S. Nakano, “Achieving haptic perception in forceps manipulator using pneumatic artificial muscle”, IEEE/ASME Transactions on Mechatronics, 2013,

(1):74-85.

V. Jouppila, S. Andrew Gadsden, and A. Ellman, “Experimental comparisons of sliding mode controlled pneumatic muscle and cylinder actuators”, Journal of Dynamic Systems, Measurement, and Control, 2014, 136(4):044503-1-10.

X. Shen, “Nonlinear model-based control of pneumatic artificial muscle servo systems”, Control Engineering Practice, 2010, 18(3):311-317.

S. Ganguly, A. Garg, A. Pasricha, and S. K. Dwivedy, “Control of pneumatic artificial muscle system through experimental modeling”,Mechatronics, 2012, 22(8):1135-1147.

Downloads

Published

2016-05-01

How to Cite

Tang, T., Chong, S., Tan, M., Chan, C., & Sato, K. (2016). Characterization of Pneumatic Artificial Muscle System in an Opposing Pair Configuration. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(2), 73–77. Retrieved from https://jtec.utem.edu.my/jtec/article/view/960