Optimal Control of a Roll-to-Roll Dry Transfer Process With Bounded Dynamics Convexification
Year: 2024
Type: article
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.
DOI: 10.1115/1.4066456
Authors: Christopher Martin, Qishen Zhao, Soovadeep Bakshi, Enrique Velasquez, Wei Li, Dongmei Chen
Institution: The University of Texas at Austin
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Awards: NSF Nanosystems Engineering Research Center for Nanomanufacturing Systems for Mobile Computing and Energy Technologies (NASCENT), G4801646097, Modeling and Control of a Roll-to-Roll Manufacturing Process for Dry Transfer of Two-Dimensional Materials and Printed Electronics, G6397820655, G7656812732
OpenAlex ID: W4402369448