A Study on the Force Distribution for Artificial Antagonistic Muscles

Abstract:

The muscle of the body’s joint always appears in the form of a pair of antagonistic muscles. Based on the establishment of the humanoid elbow joint’s mathematical model and focused on the force distribution of the antagonistic muscles, a force distribution system consisted of a fuzzy controller and a force distribution planner is proposed. The fuzzy controller is used to ensure the control performance of the whole system and the force distribution planner to implement the force distribution of the flexor and extensor. The simulation show that in the case of confirming the good control performance, the system can get different force distribution results through regulating the algorithm and parameters of the force distribution planner. Among these,we can find a more suitable and energy-efficient way to distribute the force.

• Periodical: Applied Mechanics and Materials (Volumes 278-280)
• Pages: 105-110
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.278-280.105
• Online since: January 2013
• Authors: Hou Zhong Yang, Xiao Gang Duan, Hua Deng
• Keywords: Antagonistic Muscles, Elbow Joint, Energy Efficient, Force Distribution Planner, Fuzzy Controller

References

[1] Bong-Soo Kang, Curt S. Kothera, Benjamin K. S. Woods and Norman M. Wereley: IEEE International Conference on Robotics and Automation(2009), pp.182-187.

DOI: 10.1109/robot.2009.5152280

[2] Zhong Luo, Shuxian Yang, Dongyang Xue, Lina Hao and Hongyi Liu: 2nd International Conference on Advanced Computer Control, Vol. 3(2010), pp.48-51.

DOI: 10.1109/icacc.2010.5486739

[3] P. L. Gribble, L. I. Mullin, N. Cothros and A. Matter: Journal of Neurophysiology, Vol. 89(2003), pp.2396-2405.

[4] Dongjun Shin, Xiyang Yeh and Oussama Khatib: IEEE/RSJ International Conference on Intelligent Robots and Systems(2011), pp.1830-1835.

[5] Yuki Honda, Fumio Miyazaki and Atsushi Nishikawa: IEEE International Conference on Robotics and Biomimetics(2010), pp.1722-1727.

[6] Ning Lan, Yong Li and F.S. Yang: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 13(2005), pp.60-71.

[7] Michele Folgheraiter and Giuseppina Gini: BioSystems, Vol. 76(2004), pp.65-74.

[8] G. E Loeb and W.B. Marks: Proceedings of tne International Symposium: The Muscle Spindle(1985), pp.409-415.

[9] H.X. Li, H.B. Gatland and A.W. Green: IEEE Transactions on Systems, Man and Cybernetics-PART B: CYBERNETICS, Vol. 27(1997), pp.306-312.

DOI: 10.1109/3477.558824

[10] H.X. Li and S.K. Tso: International Journal of Systems Science, Vol. 31(2000), pp.545-553.

[11] Xiaogang Duan, Hanxiong Li and Hua Deng: Journal of Process control, Vol. 22(2012), pp.470-476.