LAPSE:2020.1169
Published Article
LAPSE:2020.1169
Decoupling Adaptive Smith Prediction Model of Flatness Closed-Loop Control and Its Application
November 24, 2020
Flatness control system is characterized by multi-parameters, strong coupling, pure time delay, which complicate the establishment of an accurate mathematical model. Therefore, a control scheme that combines dynamic decoupling, PI (Proportion and Integral) control and adaptive Smith predictive compensation is proposed. To this end, a dynamic matrix is used to decouple the control system. A multivariable coupled pure time-delay system is transformed into several independent generalized single-loop pure time-delay systems. Then, a PI-adaptive Smith predictive controller is constructed for the decoupled generalized single-loop pure time-delay system. Simulations show that the scheme has a simple and feasible structure, and good control performance. When the mathematical model of the control system is inaccurate, the control performance of adaptive Smith control method is evidently better than that of the ordinary Smith control method. The model is successfully applied to the cold rolling production site through LabVIEW, and the control accuracy is within 5I. This study reveals a new solution to the problem of coupled pure time-delay in flatness control system.
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Keywords
adaptive Smith, cold rolling, dynamic decoupling, flatness control, pure time-delay
Subject
Suggested Citation
Song M, Liu H, Xu Y, Wang D, Huang Y. Decoupling Adaptive Smith Prediction Model of Flatness Closed-Loop Control and Its Application. (2020). LAPSE:2020.1169
Author Affiliations
Song M: National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, China
Liu H: National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, China; State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao 066004, China
Xu Y: National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, China
Wang D: National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, China; State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao 066004, China
Huang Y: National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, China
Liu H: National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, China; State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao 066004, China
Xu Y: National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, China
Wang D: National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, China; State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao 066004, China
Huang Y: National Engineering Research Center for Equipment and Technology of Cold Rolling Strip, Yanshan University, Qinhuangdao 066004, China
Journal Name
Processes
Volume
8
Issue
8
Article Number
E895
Year
2020
Publication Date
2020-07-26
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8080895, Publication Type: Journal Article
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LAPSE:2020.1169
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doi:10.3390/pr8080895
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[v1] (Original Submission)
Nov 24, 2020
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Nov 24, 2020
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https://psecommunity.org/LAPSE:2020.1169
Original Submitter
Calvin Tsay
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