arXiv Open Access 2024

Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems

Zhiyi Chen Harshal Maske Devesh Upadhyay Huanyi Shui Xun Huan +1 lainnya

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Abstrak

This paper presents a modeling-control synthesis to address the quality control challenges in multistage manufacturing systems (MMSs). A new feedforward control scheme is developed to minimize the quality variations caused by process disturbances in MMSs. Notably, the control framework leverages a stochastic deep Koopman (SDK) model to capture the quality propagation mechanism in the MMSs, highlighted by its ability to transform the nonlinear propagation dynamics into a linear one. Two roll-to-roll case studies are presented to validate the proposed method and demonstrate its effectiveness. The overall method is suitable for nonlinear MMSs and does not require extensive expert knowledge.

Topik & Kata Kunci

eess.SY cs.LG

Penulis (6)

Zhiyi Chen

Harshal Maske

Devesh Upadhyay

Huanyi Shui

Xun Huan

Jun Ni

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APA MLA BibTeX

Chen, Z., Maske, H., Upadhyay, D., Shui, H., Huan, X., Ni, J. (2024). Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems. https://arxiv.org/abs/2407.16933

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓