Robust Internal Model-based Control for Linear-Time-Invariant Systems in Discrete-time Domain

Atabak Azimi*, Stefan Koch, Markus Reichhartinger

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

This paper introduces a new strategy for robustly controlling linear discrete-time systems that experience both periodic disturbances modeled by an uncertain exosystem and bounded matched disturbances. The strategy, called internal model-based sliding mode control, combines the robustness of sliding mode control with the precise tracking capabilities of internal model-based control. This new approach, inspired by implicitly discretized first order sliding mode control, offers superior performance with reduced chattering compared to explicit methods while maintaining simplicity. By effectively suppressing chattering and leveraging the exosystem model incorporated in the internal model-based controller, the proposed method achieves superior disturbance rejection compared with feedback loops relying either on internal model-based control or sliding mode control only. The presented simulation example illustrates the application of the proposed controller and the obtained results show that significant disturbance rejection improvement is achieved.
Originalspracheenglisch
Titel2024 IEEE 63rd Conference on Decision and Control (CDC)
Herausgeber (Verlag)IEEE
Seiten8560-8565
Seitenumfang6
ISBN (Print)979-8-3503-1632-2
PublikationsstatusVeröffentlicht - 2024
Veranstaltung2024 IEEE 63rd Conference on Decision and Control, CDC 2024 - Milano, Italien
Dauer: 16 Dez. 202419 Dez. 2024
https://cdc2024.ieeecss.org/

Konferenz

Konferenz2024 IEEE 63rd Conference on Decision and Control, CDC 2024
KurztitelCDC
Land/GebietItalien
OrtMilano
Zeitraum16/12/2419/12/24
Internetadresse

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