Optimal Gain Estimation of PID Controller Using Neural Networks

신경망을 이용한 PID 제어기의 최적 이득값 추정

  • 박성욱 (구미1대학 전기과) ;
  • 손준혁 (경북대 공과대학 전기공학과) ;
  • 서보혁 (경북대 공과대학 전기전자공학과)
  • Received : 2004.08.06
  • Accepted : 2004.08.26
  • Published : 2004.09.01

Abstract

Recently, neural network techniques are widely used in adaptive and learning control schemes for production systems. However, in general it takes up a lot of time to learn in the case applied in control system. Furthermore, the physical meaning of neural networks constructed as a result is not obvious. And in practice since it is difficult for the PID gains suitably, lots of researches have been reported with respect of turning schemes of PID gains. A neural network-based PID control scheme is proposed, which extracts skills of human experts as PID gains. This controller is designed by using three-layered neural networks. The effectiveness of the proposed neural network-based PID control scheme is investigated through an application for a production control system. This control method can enable a plant to operate smoothy and obviously as the plant condition varies with any unexpected accidents.

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