Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Tracking Control of a Electro-hydraulic Servo System Using 2-Dimensional Real-Time Iterative Learning Algorithm

실시간 2차원 학습 신경망을 이용한 전기.유압 서보시스템의 추적제어

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

This paper addresses that an approximation and tracking control of realtime recurrent neural networks(RTRN) using two-dimensional iterative teaming algorithm for an electro-hydraulic servo system. Two dimensional learning rule is driven in the discrete system which consists of nonlinear output fuction and linear input. In order to control the trajectory of position, two RTRN with the same network architecture were used. Simulation results show that two RTRN using 2-D learning algorithm are able to approximate the plant output and desired trajectory to a very high degree of a accuracy respectively and the control algorithm using two identical RTRN was very effective to trajectory tracking of the electro-hydraulic servo system.

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References

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