Performance Improvement of Servo System in the Low Speed Operation Region Using RBFN Disturbance Observer

방사형 기저 함수망 외란관측기를 이용한 서보시스템의 저속응답 성능개선

  • Published : 2004.10.01

Abstract

A new scheme to estimate the moment of inertia in the servo motor drive system in very low speed is proposed in this paper. The typical speed estimation scheme in most servo system for low speed operation is sensitive to the variation of machine parameters, especially the moment of inertia. To estimate the motor inertia value, the observer using the Radial Basis Function Networks(RBFN) is applied. The effectiveness of the proposed inertia estimation method is verified by experiments. It is concluded that the speed control performance in the low speed region is improved with the proposed disturbance observer using RBFN.

본 논문에서는 극저속 영역에서 서보 전동기 구동 장치의 관성을 추정하는 기법을 제안한다. 대개의 서보 시스템에서 저속 영역의 성능 향상을 위해 사용되는 순시 속도 관측기는 관성계수와 같은 기계계 파라미터의 변동에 민감하다. 이와 같은 문제를 해결하기 위해 방사형 기저 함수망(Radial Basis Function Networks)을 이용하는 전동기관성을 추정기법을 제안한다. 실험을 통하여 제안한 추정기법의 타당성을 검증한다.

Keywords

References

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