On the Design and Analysis of Discrete-Time Plug- in Repetitive Controller with Three Different Internal Models

This paper presents a design strategy for a discrete-time plug-in repetitive control (RC) method using three different internal models for a class of linear minimum phase systems. The internal models are the modified internal model, the odd-harmonics internal model, and the multi-periods internal model. The RC design includes an RC internal model, which generates periodic signals, and an RC compensator, which serves as a stabilizing controller. Simulations on a servo motor plant model are conducted to evaluate the performance of the designed RCs. The results demonstrate that the modified internal model offers an excellent tracking accuracy, the odd-harmonics internal model achieves the fastest convergence, and the multi-periods internal model excels in handling complex multi-frequency references. Overall, the results show that the plug-in RC method with the three different internal models demonstrates an optimal response, each with its own advantages and disadvantages.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/eeccis62037.2024.10840060
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

On the Design and Analysis of Discrete-Time Plug- in Repetitive Controller with Three Different Internal Models

Edi Kurniawan, Muhammad Aziz Muslim, Rahmadwati Rahmadwati, Ronald Edward
1 citations
Iterative Learning Control Systems
0.33
article

On the Design and Analysis of Discrete-Time Plug- in Repetitive Controller with Three Different Internal Models

Edi Kurniawan, Muhammad Aziz Muslim, Rahmadwati Rahmadwati, Ronald Edward
article en
1 citations

Abstract

This paper presents a design strategy for a discrete-time plug-in repetitive control (RC) method using three different internal models for a class of linear minimum phase systems. The internal models are the modified internal model, the odd-harmonics internal model, and the multi-periods internal model. The RC design includes an RC internal model, which generates periodic signals, and an RC compensator, which serves as a stabilizing controller. Simulations on a servo motor plant model are conducted to evaluate the performance of the designed RCs. The results demonstrate that the modified internal model offers an excellent tracking accuracy, the odd-harmonics internal model achieves the fastest convergence, and the multi-periods internal model excels in handling complex multi-frequency references. Overall, the results show that the plug-in RC method with the three different internal models demonstrates an optimal response, each with its own advantages and disadvantages.

University of Brawijaya (ID)
Affordable and clean energy
Openalex Percentile: Top 37%
Iterative Learning Control Systems
0.33
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