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Real-time Approximation of a Hydraulic Servo System Using a Recurrent Neural Network with 2-D Learning Algorithm  

정봉호 (부산대학교 대학원 지능기계공학과)
곽동훈 (부산대학교 지능기계공학과)
이춘태 (부산대학교 대학원 지능기계공학과)
이진걸 (부산대학교 기계공학부)
Publication Information
Journal of the Korean Society for Precision Engineering / v.20, no.8, 2003 , pp. 94-100 More about this Journal
Abstract
This paper presents the experiments on the approximation of a hydraulic servo system using a real time recurrent neural networks (RTRN) with time varying weights. In order to verify the effectiveness of the RTRN algorithm in hydraulic servo system, we design the experimental hydraulic system and implemented the real time approximation of system output. Experimental results show that approximated output of the RTRN well follows the position trajectory of the electro-hydraulic servo system. And also it is verified that the 2-D RNN can be implemented in sampling time even though high sampling frequency experimentally.
Keywords
electro-hydraulic servo system; recurrent neural network; 2-dimensional learning rule;
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1 Narendra, K. S. and Parthasarathy, K., 'Identification and Control of Dynamic Systems using Neural Networks,' IEEE Trans. Neural Networks, Vol. , No. 1, pp. 4-27, 1990   DOI
2 Chow, T. W. S. and Fang, Y., 'A Recurrent Beural Network based Real-Time Learning Control Strategy Applying to Nonlinear Systems with Unknown Dynamics,' IEEE Trans. Ind. Electronics, Vol. 45, No. 1, pp. 151-161, 1998   DOI   ScienceOn
3 Chow, T. W. S., Li, X. D. and Fang, Y., 'A Real-Time Learning Control Approach for Nonlinear Continuous-Time System using Recurrent Neural Networks,' IEEE Trans. Ind. Electronics, Vol. 47, No.2, pp. 478-486, 2000   DOI   ScienceOn
4 Kurek, J. E. and Zaremba, M. B., ·'Iterative Learning Control Synthesis based on 2-D System Theory,' IEEE Trans. Automat. Contr., Vol. 38, pp. 121-125, 1993   DOI   ScienceOn
5 Chow, T. W. S. and Fang, Y., 'An Iterative Learning Control Method for Continuous-Time system based on 2-D System Theory,' IEEE Trans. Circuits Syst. I, Vol. 45, pp. 683-689, 1998   DOI   ScienceOn