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Identification of nonlinear predictor and simulator models of a cement rotary kiln by locally linear neuro-fuzzy technique

Sadeghian, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/ICCEE.2009.207
  3. Abstract:
  4. One of the most important parts of a cement factory is the cement rotary kiln which plays a key role in quality and quantity of produced cement. In this part, the physical exertion and bilateral movement of air and materials, together with chemical reactions take place. Thus, this system has immensely complex and nonlinear dynamic equations. These equations have not worked out yet. Only in exceptional case; however, a large number of the involved parameters were crossed out and an approximation model was presented instead. This issue caused many problems for designing a cement rotary kiln controller. In this paper, we presented nonlinear predictor and simulator models for a real cement rotary kiln by using nonlinear identification technique on the Locally Linear Neuro-Fuzzy (LLNF) model. For the first time, a simulator model as well as a predictor one with a precise fifteen minute prediction horizon for a cement rotary kiln is presented. These models are trained by LOLIMOT algorithm which is an incremental tree-structure algorithm. At the end, the characteristics of these models are expressed. Furthermore, we presented the pros and cons of these models. The data collected from White Saveh Cement Company is used for modeling. © 2009 IEEE
  5. Keywords:
  6. Locally linear neuro-fuzzy model ; Nonlinear identification ; Approximation model ; Cement rotary kiln ; LOLIMOT algorithms ; Neuro-Fuzzy ; Neuro-Fuzzy model ; Neuro-fuzzy techniques ; Nonlinear dynamic equations ; Nonlinear identifications ; Nonlinear predictors ; Prediction horizon ; Simulator models ; Tree-structure ; Cements ; Electrical engineering ; Furnaces ; Grafting (chemical) ; Rotary kilns ; Simulators ; Synthesis (chemical) ; Trees (mathematics) ; Nonlinear equations
  7. Source: 2009 International Conference on Computer and Electrical Engineering, ICCEE 2009, 28 December 2009 through 30 December 2009, Dubai ; Volume 1 , 2009 , Pages 168-173 ; 9780769539256 (ISBN)
  8. URL: http://ieeexplore.ieee.org/document/5380646