Optimal Condition Gain Estimation of PID Controller using Neural Networks

신경망을 이용한 PID 제어기의 제어 사양 최적의 이득값 추정

  • 손준혁 (경북대학교 대학원 시스템제어연구실) ;
  • 서보혁 (경북대학교 전자전기공학부)
  • Published : 2003.11.21

Abstract

Recently Neural Network techniques have widely used in adaptive and learning control schemes for production systems. However, generally it costs a lot of time for learning 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 to the PID gains suitably lots of researches have been reported with respect to 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 accident.

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