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

The Korean Society of Mechanical Engineers (대한기계학회)
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Adaptive Control Incorporating Neural Network for a Pneumatic Servo Cylinder

공압 서보실린더의 신경회로망 결합형 적응제어

  • 장윤성 (홍익대학교 대학원 정밀기계공학과) ;
  • 조승호 (홍익대학교 기계/시스템디자인공학과)
  • Published : 2005.01.01
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Abstract

This paper presents a design scheme of model reference adaptive control incorporating a Neural Network for a pneumatic servo system. The parameters of discrete-time model of plant are estimated by using the recursive least square method. Neural Network is utilized in order to compensate the nonlinear nature of plant such as compressibility of air and frictions present in cylinder. The experiment of a trajectory tracking control using the proposed control scheme has been performed and its effectiveness has been proved by comparing with the results of a model reference adaptive control.

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References

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