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
- Christopher Martin (ORCID: https://orcid.org/0000-0002-8078-8859)
- Enrique Isaza Velásquez
- Soovadeep Bakshi (ORCID: https://orcid.org/0000-0001-7369-0186)
- Qishen Zhao (ORCID: https://orcid.org/0000-0001-6761-761X)
- Wei Li (ORCID: https://orcid.org/0000-0003-2091-8188)
- Dongmei Chen (ORCID: https://orcid.org/0000-0002-3260-9385)
Institutions
- The University of Texas at Austin (US)
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
- National Science Foundation
- Division of Civil, Mechanical and Manufacturing Innovation