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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Voltage Control of Generator using Neural Network Self Adaptative Control

신경망 자율 적응제어를 이용한 발전기의 전압제어

  • 박왈서 (원광대학교 전기전자 및 정보공학부) ;
  • 오훈 (원광대학교 전기전자 및 정보공학부) ;
  • 유석주 (한국농촌공사 익산지사) ;
  • 라성훈 (원광대학교 전기전자 및 정보공학부)
  • Published : 2009.02.28
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Abstract

PI controller is widely used as voltage control system of generator. However when a generator system has various characters of continuance, a new PI parameter decision for accurate control is a hard task as method of solving this problem, in this paper, the method to generator voltage control using Neural Network self adaptive control is presented. A property continuous feedback control gain of voltage control system is decided by a rule of delta learning. The function of proposed control method is verified by voltage control experiment results of DC generator.

PI제어기는 발전기의 전압제어 시스템에 널리 쓰이고 있다. 하지만 발전 시스템의 특성이 연속적으로 변화할 때, 새로운 PI매개변수를 결정하는 것이 쉽지 않다. 이를 해결하기 위하여 본 논문에서는 발전기의 전압제어에 신경망자율 적응 제어를 이용하는 제어 방법을 제안하였다. 전압제어 시스템의 적절한 연속적인 궤환 제어 이득은 델타학습 규칙에 의해서 결정된다. 제안된 제어 방법의 기능은 직류 발전기 전압제어 실험에 의해 확인하였다.

Keywords

References

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