Study on Model Error Compensator Design based on Generalized Minimum Variance Control

Model-Based Development (MBD) has been widely used as an efficient product development method in the industrial world. In MBD, actual plant characteristics should match the ideal plant model’s characteristics which are pre-designed. However, if model errors occur between the ideal plant model and the actual plant due to various factors, it may not be possible to achieve the desired performance. A control system design method that suppresses such model errors is known as a model error compensator (MEC). This paper proposes a design method of a MEC based on Generalized Minimum Variance Control (GMVC). The effectiveness of the proposed method is verified by a numerical simulation and an experiment using the slider-crank system that simulates a toggle-type clamping mechanism of an injection molding machine.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905920
Citations
1
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
0.33
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Study on Model Error Compensator Design based on Generalized Minimum Variance Control

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article

Study on Model Error Compensator Design based on Generalized Minimum Variance Control

Hideki Tomiyama, Toru Yamamoto, Shin Wakitani, Takashi Ochiiwa, Takahiro Sugahara
article en
1 citations

Abstract

Model-Based Development (MBD) has been widely used as an efficient product development method in the industrial world. In MBD, actual plant characteristics should match the ideal plant model’s characteristics which are pre-designed. However, if model errors occur between the ideal plant model and the actual plant due to various factors, it may not be possible to achieve the desired performance. A control system design method that suppresses such model errors is known as a model error compensator (MEC). This paper proposes a design method of a MEC based on Generalized Minimum Variance Control (GMVC). The effectiveness of the proposed method is verified by a numerical simulation and an experiment using the slider-crank system that simulates a toggle-type clamping mechanism of an injection molding machine.

Hiroshima University (JP), Japan Steel Works (Japan) (JP)
Openalex Percentile: Top 36%
Industrial Technology and Control Systems
0.33
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