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Author:

Liu, Jian (Liu, Jian.) | Li, Xiaoli (Li, Xiaoli.) (Scholars:李晓理) | Li, Yang (Li, Yang.)

Indexed by:

CPCI-S

Abstract:

In limestone-gypsum wet flue gas desulfurization process, the pH change process of slurry in absorption tower has the characteristics of high nonlinearity, large lag and various disturbances. According to the process of pH control in wet flue gas desulfurization, a model free adaptive control algorithm based on compact form dynamic linearization (CFDL-MFAC) is designed. Then the simulation is carried out with Matlab based on hammestein model of slurry pH control system. It is turned out that CFDL-MFAC algorithm can effectively use the input and output data of the pH control process to realize the tracking control of slurry pH and obtain high control accuracy, which verifies the effectiveness of the method. Compared with PID control, CFDL-MFAC controller can not only obtain better control effect, but also effectively suppress external disturbance.

Keyword:

Model free adaptive control Wet flue gas desulfurization Tracking control Slurry pH

Author Community:

  • [ 1 ] [Liu, Jian]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Li, Xiaoli]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Xiaoli]Minist Educ, Beijing Key Lab Computat Intelligence & Intellige, Engn Res Ctr Digital Community, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Xiaoli]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Li, Yang]Commun Univ China, Sch Int Studies, Beijing 100024, Peoples R China

Reprint Author's Address:

  • [Liu, Jian]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China

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Source :

PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20)

Year: 2020

Page: 25-29

Language: English

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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