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Cited 2 time in webofscience Cited 6 time in scopus
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A new vibration isolation of a hydraulic system using a heterosynaptic neural network SCIE SCOPUS

Title
A new vibration isolation of a hydraulic system using a heterosynaptic neural network
Authors
Cheong, MSCho, DW
Date Issued
1997-11
Publisher
ACADEMIC PRESS LTD
Abstract
Many hydraulic components have non-linearities to some extent. These non-linearities often cause time delays, thus degrading the performance of hydraulic control systems and making it difficult to model them. This paper proposes a new vibration isolation control algorithm that eliminates the need for sophisticated modeling of a hydraulic system. The algorithm is a hybrid-type control scheme consisting of a linear controller and a heterosynaptic neural network controller. Using this control scheme, simulations and experiments were performed for I and 2 degrees of freedom vibration isolation. The hybrid-type controller can isolate the vibration significantly better than can the linear controller. Also, from the weight values of the heterosynaptic neural network, a second-order equivalent differential model of the hydraulic control system can be obtained, which provides useful information such as the stability and the characteristics of the control system. (C)1997 Academic Press Limited.
URI
https://oasis.postech.ac.kr/handle/2014.oak/21156
DOI
10.1006/mssp.1997.0104
ISSN
0888-3270
Article Type
Article
Citation
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, vol. 11, no. 6, page. 887 - 901, 1997-11
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조동우CHO, DONG WOO
Dept of Mechanical Enginrg
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