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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244576