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점근적 외란 제거를 위한 내부 모델 기반 외란 관측기 설계
- 주영준;
- 김홍근
SCOPUS
0초록
This paper presents a design method for internal-model-based disturbance observers for first-order uncertain linear plants to achieve asymptotic disturbance rejection. Conventional disturbance observers typically attenuate the effect of disturbances on the closed-loop system, but do not guarantee asymptotic rejection of disturbances. By contrast, inspired by the internal model principle, we explicitly embed a disturbance model into the disturbance observer structure, thereby enabling asymptotic disturbance rejection. The disturbance is assumed to be generated by the output of a second-order linear exosystem that may include unstable modes. Accordingly, it can be sinusoid or polynomial-in-time of degree less than two. A robust stability condition for the resulting closed-loop system is also derived, based on singular perturbation theory. Finally, simulation results for motor control system are provided to validate the effectiveness of the proposed disturbance observer design.
키워드
- 제목
- 점근적 외란 제거를 위한 내부 모델 기반 외란 관측기 설계
- 제목 (타언어)
- Design of Internal-model-based Disturbance Observers for Achieving Asymptotic Disturbance Rejection
- 저자
- 주영준; 김홍근
- 발행일
- 2026-07
- 유형
- Article
- 저널명
- 제어.로봇.시스템학회 논문지
- 권
- 32
- 호
- 7
- 페이지
- 926 ~ 932
- 언어
- KOR
- 출판사
- 제어·로봇·시스템학회
- 발행국가
- 대한민국
- 분량
- 7 페이지
- ISSN
- E 2233-4335
P 1976-5622