Journal of the Korean Institute of Illuminating and Electrical Installation Engineers (조명전기설비학회논문지)

The Korean Institute of IIIuminating and Electrical Installation Engineers (한국조명전기설비학회)
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An Auto-tuning of PID Controller using Fuzzy Performance Measure and Neural Network for Equipment System

전력설비시스템을 위한 퍼지 평가함수와 신경회로망을 사용한 PID제어기의 자동동조

  • 이수흠 (정회원, 경남대학교 전기공학과) ;
  • 박현태 (정회원, 영진전문대학 전기계역) ;
  • 이내일 (정회원, 경남대학교 전기공학과)
  • Published : 1999.05.01
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Abstract

This paper is proposed a new method to deal with the optimized auto-tuning for the Pill controller which is used to the process-control in various fields. First of all, in this method, 1st order delay system with dead time which is modelled from the unit step response of the system is Pade-approximated, then initial values are determined by the Ziegler-Nichols method. So we can find the parameters of Pill controller so as to minimize the fuzzy criterion function which includes the maximum overshoot, damping ratio, rising time and settling time. Finally, after studying the parameters of Pill controller by Backpropagation of Neural-Network, when we give new K, L, T values to Neural-Network, the optimized parameter of Pill controller is found by Neural-Network Program.rogram.

본 논문은 여러 설비시스템의 프로세스 제어에 사용되는 PID제어기의 최적 자동동조에 관한 새로운 방법을 제안하고자 한다. 이 방법은 먼저. 제어대상의 계단응답으로부터 모델링 된 1차 지연계를 Pad 근사화하고, Ziefler-Nichols의 한계감도법으로 초기값을 정한 후, 최대 오버슈트, 감쇠비, 상승시간, 정정시간에 대한 퍼지 평가함수를 초대로 하는 최적화되 PID 계수를 목표치로 하여 신경회로망의 역전파 알고리즘을 통해 충분히 반복, 학습시켜 새로운 K, L, T값을 입력하였을 때 근사적으로 최적화된 PID 계수를 구함으로써 퍼지추론에 의한 제어 규칙이 불필요하여 자동 동조시간이 짧다는 장점을 가지고 있다.

Keywords

References

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