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Author:

Liu, Jian (Liu, Jian.) | Li, Xiaoli (Li, Xiaoli.) | Wang, Kang (Wang, Kang.) | Wang, Fuqiang (Wang, Fuqiang.) | Cui, Guimei (Cui, Guimei.)

Indexed by:

EI Scopus

Abstract:

In order to improve the slurry pH control accuracy of the absorption tower in the wet flue gas desulfurization process, a model free adaptive predictive control algorithm for the desulfurization slurry pH which is based on a cyber physical systems framework is proposed. First, aiming to address system characteristics of non-linearity and pure hysteresis in slurry pH change process, a model free adaptive predictive control algorithm based on compact form dynamic linearization is proposed by combining model free adaptive control algorithm with model predictive control algorithm. Then, by integrating information resources with the physical resources in the absorption tower slurry pH control process, an absorption tower slurry pH optimization control system based on cyber physical systems is constructed. It is turned out that the model free adaptive predictive control algorithm under the framework of the cyber physical systems can effectively realize the high-precision tracking control of the slurry pH of the absorption tower, and it has strong robustness. © 2020 Journal of Beijing Institute of Technology

Keyword:

Adaptive control systems Embedded systems Flue gases Desulfurization Cyber Physical System Navigation Absorption Towers Model predictive control

Author Community:

  • [ 1 ] [Liu, Jian]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Li, Xiaoli]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Li, Xiaoli]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Ministry of Education, Beijing; 100124, China
  • [ 4 ] [Li, Xiaoli]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Wang, Kang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Wang, Fuqiang]TechnologyResearch Center, Shenhua Guohua (Beijing) Electric Power Research Institute Corporation, Beijing; 100025, China
  • [ 7 ] [Cui, Guimei]School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou; 014010, China

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Source :

Journal of Beijing Institute of Technology (English Edition)

ISSN: 1004-0579

Year: 2020

Issue: 4

Volume: 29

Page: 544-555

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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