Trimming of Target Value Response Characteristics Using FRIT for ILQ Servo System

Mass-produced control systems allow tolerances for each component. Therefore, the model parameters of the controlled object also have a certain tolerance, and the controller design is generally designed based on the nominal value considering the perturbation. As a result, the target value response characteristics also have a certain range of variation. The structure uses an ILQ controller and a precompensator, and the experimental data obtained in the inspection process etc. A design method that adjusts the controller using the FRIT method and restores it to the nominal target value response characteristic (this paper refers to this as trimming) is proposed. We propose this method and demonstrate its effectiveness using a numerical example.

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Publication Details

Journal
Transactions of the Institute of Systems Control and Information Engineers
Published
2024-10-15
DOI
https://doi.org/10.5687/iscie.37.265
Citations
1
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

Trimming of Target Value Response Characteristics Using FRIT for ILQ Servo System

Osamu Kaneko, Takaaki Tokura
1 citations
Transactions of the Institute of Systems Control and Information Engineers
Iterative Learning Control Systems
0.33
article

Trimming of Target Value Response Characteristics Using FRIT for ILQ Servo System

Osamu Kaneko, Takaaki Tokura
article en
1 citations

Abstract

Mass-produced control systems allow tolerances for each component. Therefore, the model parameters of the controlled object also have a certain tolerance, and the controller design is generally designed based on the nominal value considering the perturbation. As a result, the target value response characteristics also have a certain range of variation. The structure uses an ILQ controller and a precompensator, and the experimental data obtained in the inspection process etc. A design method that adjusts the controller using the FRIT method and restores it to the nominal target value response characteristic (this paper refers to this as trimming) is proposed. We propose this method and demonstrate its effectiveness using a numerical example.

Transactions of the Institute of Systems Control and Information EngineersVol. 37(10)
Openalex Percentile: Top 37%
Iterative Learning Control Systems
0.33
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