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Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy

Chu, Fei, Zhao, Xu, Yao, Yuan, Chen, Tao and Wang, Fuli (2019) Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy Journal of Process Control, 81. pp. 197-208.

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Abstract

In this study, we investigate a data-driven optimal control for a new batch process. Existing data-driven optimal control methods often ignore an important problem, namely, because of the short operation time of the new batch process, the modeling data in the initial stage can be insufficient. To address this issue, we introduce the idea of transfer learning, i.e., a latent variable process transfer model (LV-PTM) is adopted to transfer sufficient data and process information from similar processes to a new one to assist its modeling and quality optimization control. However, due to fluctuations in raw materials, equipment, etc., differences between similar batch processes are always inevitable, which lead to the serious and complicated mismatch of the necessary condition of optimality (NCO) between the new batch process and the LV-PTM-based optimization problem. In this work, we propose an LV-PTM-based batch-to-batch adaptive optimal control strategy, which consists of three stages, to ensure the best optimization performance during the whole operation lifetime of the new batch process. This adaptive control strategy includes model updating, data removal, and modifier-adaptation methodology using final quality measurements in response. Finally, the feasibility of the proposed method is demonstrated by simulations.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
NameEmailORCID
Chu, Fei
Zhao, Xu
Yao, Yuan
Chen, TaoT.Chen@surrey.ac.uk
Wang, Fuli
Date : September 2019
DOI : 10.1016/j.jprocont.2019.06.010
Copyright Disclaimer : © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : Transfer learning; Data-driven; LV-PTM; Optimal control; Adaptive control strategy
Related URLs :
Depositing User : Clive Harris
Date Deposited : 24 Jun 2019 08:39
Last Modified : 18 Dec 2019 10:57
URI: http://epubs.surrey.ac.uk/id/eprint/852062

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