中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 智能化团队
Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy

文献类型：期刊论文

作者Chu, Fei1,2; Zhao, Xu1; Yao, Yuan3; Chen, Tao4; Wang, Fuli5
刊名JOURNAL OF PROCESS CONTROL
出版日期2019-09-01
卷号81页码:197-208
ISSN号0959-1524
关键词Transfer learning Data-driven LV-PTM Optimal control Adaptive control strategy
DOI10.1016/j.jprocont.2019.06.010
通讯作者Chu, Fei(chufeizhufei@sina.com)
英文摘要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 process 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. (C) 2019 Published by Elsevier Ltd.
WOS关键词PARTICLE-SIZE DISTRIBUTION ; PRODUCT TRANSFER ; OPTIMIZATION ; MODEL ; IDENTIFICATION ; QUALITY
资助项目National Natural Science Foundation of China[61503384] ; National Natural Science Foundation of China[61873049] ; Open Fund of National Engineering Research Center of Coal Preparation and Purification[2018NERCCPP-B03] ; Selection and Training Project of High-level Talents in the Sixteenth Six Talent Peaks of Jiangsu Province[DZXX-045] ; Open Subject of State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences[20190105] ; Frontier Scientific Research Projects of China University of Mining and Technology[2019XKQYMS64] ; Postgraduate Research & Practice Innovation Program of Jiangsu Province[SJCX18-0662]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000486096900017
资助机构National Natural Science Foundation of China ; Open Fund of National Engineering Research Center of Coal Preparation and Purification ; Selection and Training Project of High-level Talents in the Sixteenth Six Talent Peaks of Jiangsu Province ; Open Subject of State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences ; Frontier Scientific Research Projects of China University of Mining and Technology ; Postgraduate Research & Practice Innovation Program of Jiangsu Province
源URL[http://ir.ia.ac.cn/handle/173211/27238]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
通讯作者Chu, Fei
作者单位1.China Univ Min & Technol, Natl Engn Res Ctr Coal Preparat & Purificat, Xuzhou 221116, Jiangsu, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Natl Tsing Hua Univ, Dept Chem Engn, Hsinchu 30013, Taiwan
4.Univ Surrey, Dept Chem & Proc Engn, Guildford GU2 7XH, GU, England
5.Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
推荐引用方式
GB/T 7714		 Chu, Fei,Zhao, Xu,Yao, Yuan,et al. Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy[J]. JOURNAL OF PROCESS CONTROL,2019,81:197-208.
APA Chu, Fei,Zhao, Xu,Yao, Yuan,Chen, Tao,&Wang, Fuli.(2019).Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy.JOURNAL OF PROCESS CONTROL,81,197-208.
MLA Chu, Fei,et al."Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy".JOURNAL OF PROCESS CONTROL 81(2019):197-208.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。