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Control of a Electro-hydraulic Servo System Using Recurrent Neural Network based 2-Dimensional Iterative Learning Algorithm in Discrete System  

곽동훈 (부산대학교 지능기계학과)
조규승 (부산대학교 대학원 기계설계공학과)
정봉호 (부산대학교 대학원 지능기계공학과)
이진걸 (부산대학교 기계공학부)
Publication Information
Journal of the Korean Society for Precision Engineering / v.20, no.6, 2003 , pp. 62-70 More about this Journal
Abstract
This paper deals with a approximation and tracking control of hydraulic servo system using a real time recurrent neural networks (RTRN) with 2-dimensional iterative learning rule. And it was driven that 2-dimensional iterative learning rule in discrete time. In order to control the trajectory of position, two RTRN with same network architecture were used. Simulation results show that two RTRN using 2-D learning algorithm is able to approximate the plant output and desired trajectory to a very high degree of a accuracy respectively and the control algorithm using two same RTRN was very effective to control trajectory tracking of electro-hydraulic servo system.
Keywords
Approximation; Recurrent neural network; Hydraulic servo system;
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Times Cited By KSCI : 1  (Citation Analysis)
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