DocumentCode
2674994
Title
Predictive control based on wiener model for inlet pressure of primary dynamic wave in Sulfuric Acid production from smelter gas
Author
Chen, Chunhua ; Cui, Bin ; Yu, Feng ; Zhang, Jun
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2012
fDate
23-25 May 2012
Firstpage
3594
Lastpage
3598
Abstract
The structural features and parameter identification of wiener model are firstly introduced in this paper, and then through the online solving method Newton-Rapshon, the GPC algorithm based on wiener model is applied to the primary dynamic wave inlet pressure control of Sulfuric Acid Industry. Simulation results show that the GPC algorithm based on wiener model can solve the inlet pressure control problem of primary dynamic wave very well. Considering the inlet pressure drastic change when the working condition switches, some methods are adopted and the control effect is improved fatherly.
Keywords
Newton-Raphson method; chemical industry; parameter estimation; predictive control; pressure control; production control; smelting; stochastic processes; sulphur compounds; GPC algorithm; H2SO4; Newton-Rapshon method; Wiener model; online solving method; parameter identification; predictive control; primary dynamic wave inlet pressure control; smelter gas; structural feature identification; sulfuric acid industry; sulfuric acid production; Employee welfare; Equations; Mathematical model; Predictive control; Predictive models; Switches; generalized predictive control; inlet pressure control of primary dynamic wave; wiener model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244576
Filename
6244576
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