점근적 외란 제거를 위한 내부 모델 기반 외란 관측기 설계

Design of Internal-model-based Disturbance Observers for Achieving Asymptotic Disturbance Rejection
Citations

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0

초록

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

disturbance observersdisturbance rejectioninternal model principleoutput regulationrobust control
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
주영준김홍근
DOI
10.5302/J.ICROS.2026.26.0054
발행일
2026-07
유형
Article
저널명
제어.로봇.시스템학회 논문지
32
7
페이지
926 ~ 932