Optimal Control of a Roll-to-Roll Dry Transfer Process With Bounded Dynamics Convexification

Abstract For efficient roll-to-roll (R2R) production of flexible electronic components, a precise R2R transfer peeling process is essential, requiring accurate modeling and control. This paper introduces a novel approach to confining the dynamics of a nonlinear R2R mechanical peeling system within a convex set known as a norm-bounded linear differential inclusion (NLDI). This method utilizes constraints on uncertain system variables to create a tighter NLDI representation compared to other convexification techniques. Moreover, it offers drastically reduced computational cost compared to previous methods applied to convexify the R2R peeling system. The NLDI is employed to generate an H∞-optimal controller for the R2R peeling system, and both simulations and experiments demonstrate better dynamic performance compared to other controllers for R2R transfer.

Authors

Institutions

Publication Details

Journal
Journal of Dynamic Systems Measurement and Control
Published
2024-09-09
DOI
https://doi.org/10.1115/1.4066456
Citations
3
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.98

Funders

Controls
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article

Optimal Control of a Roll-to-Roll Dry Transfer Process With Bounded Dynamics Convexification

Christopher Martin, Enrique Isaza Velásquez, Soovadeep Bakshi, Qishen Zhao et al.
3 citations
Journal of Dynamic Systems Measurement and Control
Advanced Control Systems Optimization
0.98
article

Optimal Control of a Roll-to-Roll Dry Transfer Process With Bounded Dynamics Convexification

Christopher Martin, Enrique Isaza Velásquez, Soovadeep Bakshi, Qishen Zhao, Wei Li, Dongmei Chen
article en
3 citations

Abstract

Abstract For efficient roll-to-roll (R2R) production of flexible electronic components, a precise R2R transfer peeling process is essential, requiring accurate modeling and control. This paper introduces a novel approach to confining the dynamics of a nonlinear R2R mechanical peeling system within a convex set known as a norm-bounded linear differential inclusion (NLDI). This method utilizes constraints on uncertain system variables to create a tighter NLDI representation compared to other convexification techniques. Moreover, it offers drastically reduced computational cost compared to previous methods applied to convexify the R2R peeling system. The NLDI is employed to generate an H∞-optimal controller for the R2R peeling system, and both simulations and experiments demonstrate better dynamic performance compared to other controllers for R2R transfer.

Journal of Dynamic Systems Measurement and ControlVol. 147(3)
The University of Texas at Austin (US)
National Science Foundation, Division of Civil, Mechanical and Manufacturing Innovation
Openalex Percentile: Top 24%
Advanced Control Systems Optimization
0.98
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Optimal Control of a Roll-to-Roll Dry Transfer Process With Bounded Dynamics Convexification — Christopher Martin, Enrique Isaza Velásquez, et al. · Journal of Dynamic Systems Measurement and Control (2024) | TGRS Research Map | TGRS