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Proceedings Paper

Control of a two-link flexible manipulator using neural networks
Author(s): Minoru Sasaki; Haruki Murasawa; Satoshi Ito
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Paper Abstract

In this paper, control of a two-link flexible manipulator using neural networks is presented. The neural networks are trained so as to make the error between the root strain and the desired root strain and the error between the joint angles and the desired joint angles almost zero. In the process, the neural networks learn the inverse dynamics of the system. Also we compared the learning algorithms between conventional back propagation method and adaptive learning method. The numerical results and experimental results show that this NN control system can suppress the vibrations of the flexible manipulator within a short time in comparison with no feedback. Numerical and experimental results for the vibration control of a two-link flexible manipulator are presented and verify that the proposed NN control system is effective at controlling flexible dynamical systems.

Paper Details

Date Published: 9 January 2008
PDF: 6 pages
Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67942Y (9 January 2008); doi: 10.1117/12.784510
Show Author Affiliations
Minoru Sasaki, Gifu Univ. (Japan)
Haruki Murasawa, Gifu Univ. (Japan)
Satoshi Ito, Gifu Univ. (Japan)


Published in SPIE Proceedings Vol. 6794:
ICMIT 2007: Mechatronics, MEMS, and Smart Materials

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