Shaping of molecular weight distribution using self-optimizing control based on moments

Su, H. ORCID: https://orcid.org/0000-0003-2473-3156, Zhou, C. ORCID: https://orcid.org/0000-0003-2993-8353, Tang, X. ORCID: https://orcid.org/0000-0001-8794-1820, Cao, Y., Pan, F., Yang, K. and Yang, S.-H. ORCID: https://orcid.org/0000-0003-0717-5009 (2024) Shaping of molecular weight distribution using self-optimizing control based on moments. Industrial & Engineering Chemistry Research, 63 (44). pp. 19076-19090. ISSN 1520-5045 doi: 10.1021/acs.iecr.4c02412

Abstract/Summary

It is important but also challenging to control the full shape of the molecular weight distribution in polymerization processes, since it is an infinite dimensional probability density function (PDF). In this work, a self-optimizing control (SOC) strategy is adopted to achieve the aim of PDF shaping by maintaining some elaborately selected controlled variables (CVs) at constant set points through online feedback control, even in the presence of uncertainties. To find optimal CVs, finite moments rather than the full shape, which corresponds to an infinite-dimensional space, of the PDF are adopted as elements to parametrize CVs, while the optimization problem is to minimize the distance between the actual PDF and the target PDF. The proposed SOC-PDF method is demonstrated more effective than the existing stochastic distribution control method through a pilot semibatch styrene polymerization case study.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/119259
Identification Number/DOI	10.1021/acs.iecr.4c02412
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Publisher	American Chemical Society (ACS)
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