Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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Motion Control of Servo Cylinder Using Neural Network

신경회로망을 이용한 서보 실린더의 운동제어

  • 황운규 (홍익대학교 대학원 기계공학과) ;
  • 조승호 (홍익대학교 기계시스템 디자인공학과)
  • Published : 2004.07.01
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Abstract

In this paper, a neural network controller that can be implemented in parallel with a PD controller is suggested for motion control of a hydraulic servo cylinder. By applying a self-excited oscillation method, the system design parameters of open loop transfer function of servo cylinder system are identified. Based on system design parameters, the PD gains are determined for the desired closed loop characteristics. The Neural Network is incorporated with PD control in order to compensate the inherent nonlinearities of hydraulic servo system. As an application example, a motion control using PD-NN has been performed and proved its superior performance by comparing with that of a PD control.

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References

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