Design of High-gain Observer-based High-order Internal Model Disturbance Observer

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Abstract

This paper presents a high-gain observer-based high-order internal model disturbance observer considering a single-frequency sinusoidal disturbance and mth-order polynomial-in-time disturbances. Two Q-filters in the disturbance observer structure serve different roles: one has disturbance compensation capability, and the other performs the implementation of the inverse dynamics. In specific, since the block of the Q-filter with the inverse dynamics has a high-gain observer structure, it is designed as the high-gain observer to facilitate state feedback control design. On the other hand, the disturbance compensation Q-filter incorporates the modeled part of the disturbance to eliminate it completely. Using the singular perturbation theory, it is demonstrated that the overall closed-loop system with the proposed disturbance observer completely compensates for the effect of modeled disturbances and behaves like the nominal closed-loop system. Furthermore, robust stability conditions under model uncertainties are provided. The effectiveness of the proposed disturbance observer is validated through simulation.

Original languageEnglish
Title of host publication2024 24th International Conference on Control, Automation and Systems, ICCAS 2024
PublisherIEEE Computer Society
Pages868-873
Number of pages6
ISBN (Electronic)9788993215380
DOIs
StatePublished - 2024
Event24th International Conference on Control, Automation and Systems, ICCAS 2024 - Jeju, Korea, Republic of
Duration: 29 Oct 20241 Nov 2024

Publication series

NameInternational Conference on Control, Automation and Systems
ISSN (Print)1598-7833

Conference

Conference24th International Conference on Control, Automation and Systems, ICCAS 2024
Country/TerritoryKorea, Republic of
CityJeju
Period29/10/241/11/24

Keywords

  • Disturbance Observer
  • High-gain Observer
  • Internal Model Principle
  • Nominal Performance Recovery

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