DocumentCode
3426211
Title
Comparison of rotary cement kiln identified models
Author
Noshirvani, G. ; Fatehi, A. ; Araabi, B. ; Shirvani, M. ; Azizi, M.
Author_Institution
ACECR Markazi Branch, Arak, Iran
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
1290
Lastpage
1295
Abstract
Rotary cement kiln is the main part of a cement plant that clinker is produced in it. Clinker is the main ingredient of cement. Continual and prolonged operation of rotary cement kiln is vital in cement factories. However, prolonged operation of the kiln is not possible and periodic repairs of the refractory lining would become necessary, due to non-linear phenomena existing in the kiln, such as sudden falls of coatings in the burning zone and probability of damages to the refractory materials during production. This is the basic reason behind the needs for a comprehensive model which is severely necessary for better control of this process. Such a model can be derived based on the mathematic analysis with consultation of expert operator experiences. In this paper both linear and nonlinear model are identified for rotary kiln of Saveh white cement factory. The linear model is introduced using Box-Jenkins structure. The results of the obtained model were satisfactory compared to some other linear models and can be used for designing adaptive or robust controllers. Also, nonlinear system identification via Neural Network technique is performed and its result was compared to linear models.
Keywords
adaptive control; cement industry; control system synthesis; kilns; linear systems; neural nets; nonlinear control systems; parameter estimation; robust control; Box-Jenkins structure; Saveh white cement factory; adaptive controllers; burning zone; cement plant; clinker; coatings; damage probability; linear model; model parameter estimation; neural network technique; nonlinear phenomena; refractory lining repair; robust controllers; rotary cement kiln identified models; system identification; Adaptive control; Building materials; Coatings; Kilns; Mathematical model; Mathematics; Process control; Production facilities; Programmable control; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location
Christchurch
Print_ISBN
978-1-4244-4706-0
Electronic_ISBN
978-1-4244-4707-7
Type
conf
DOI
10.1109/ICCA.2009.5410289
Filename
5410289
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