<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study advances the field of intelligent manufacturing by integrating automation, information technology, and digitalization into a novel “five horizontal and three vertical” system architecture. We introduce an enhanced model-free adaptive control (MFAC) algorithm that utilizes a dynamic linearization method alongside pseudo-partial derivatives (PPD) for optimizing data transfer within intelligent manufacturing systems. Using CANoe software for simulation, our research demonstrates the improved MFAC algorithm’s superior bus message transmission efficiency by 0.0224 to 0.026 and a significant reduction in the network load factor by 0.2068. These advancements highlight the efficacy of fieldbus technology in reducing network congestion and enhancing real-time performance in intelligent manufacturing environments.</p>
</abstract>

This study advances the field of intelligent manufacturing by integrating automation, information technology, and digitalization into a novel “five horizontal and three vertical” system architecture. We introduce an enhanced model-free adaptive control (MFAC) algorithm that utilizes a dynamic linearization method alongside pseudo-partial derivatives (PPD) for optimizing data transfer within intelligent manufacturing systems. Using CANoe software for simulation, our research demonstrates the improved MFAC algorithm’s superior bus message transmission efficiency by 0.0224 to 0.026 and a significant reduction in the network load factor by 0.2068. These advancements highlight the efficacy of fieldbus technology in reducing network congestion and enhancing real-time performance in intelligent manufacturing environments.

Applications and Challenges of Fieldbus Technology in Intelligent Manufacturing Systems

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study advances the field of intelligent manufacturing by integrating automation, information technology, and digitalization into a novel “five horizontal...

Applications and Challenges of Fieldbus Technology in Intelligent Manufacturing Systems

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 07. Apr. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0900

Schlüsselwörter
Fieldbus technology, MFAC, PPD, Top-level design, Intelligent manufacturing system

© 2024 Li Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Applications and Challenges of Fieldbus Technology in Intelligent Manufacturing Systems

Online veröffentlicht: 03. Mai 2024

Seitenbereich: -

Eingereicht: 07. Apr. 2024

Akzeptiert: 23. Apr. 2024

DOI: https://doi.org/10.2478/amns-2024-0900

SchlüsselwörterFieldbus technology, MFAC, PPD, Top-level design, Intelligent manufacturing system

© 2024 Li Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Fieldbus technology, MFAC, PPD, Top-level design, Intelligent manufacturing system