Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Control of a Electro-hydraulic Servo System Using Recurrent Neural Network based 2-Dimensional Iterative Learning Algorithm in Discrete System

이산시간 2차원 학습 신경망 알고리즘을 이용한 전기$\cdot$유압 서보시스팀의 제어

  • 곽동훈 (부산대학교 지능기계학과) ;
  • 조규승 (부산대학교 대학원 기계설계공학과) ;
  • 정봉호 (부산대학교 대학원 지능기계공학과) ;
  • 이진걸 (부산대학교 기계공학부)
  • Published : 2003.06.01
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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

References

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