论文信息 - Modelling of the raw mixing process in cement industry

Modelling of the raw mixing process in cement industry

This paper represents the identification of a raw blending system in a cement factory for advanced process control. Three different linear multivariable stochastic ARX (AutoRegressive with eXogenous input) models are proposed in which the inputs are the feed rates of the raw material components (low-grade limestone and iron ore) and the outputs are the iron oxide and/or lime module of the raw meal. The ARX models are parameterized giving the minimum number of parameters by the approach of R.P. Guidorzi (1975). The identification results show that these MISO and MIMO models are good models.

[1] P. Prevot,et al. Intelligent Tuning and Adaptive Control for Cement Raw Meal Blending Process , 1991 .

[2] J. W. Modestino,et al. Adaptive Control , 1998 .

[3] Csilla Bányász,et al. Application of a New Generic Optimal Controller Structure for Raw Material Blending , 1995 .

[4] Olli Mattila,et al. A SYSTEM FOR THE CONTROL OF THE HOMOGENISATION OF THE CEMENT RAW MEAL , 1974 .

[5] Mont Hubbard,et al. Estimation of feedstream concentrations in cement raw material blending , 1982, Autom..

[6] Ted Bay,et al. Dynamic Control of the Cement Process with a Digital Computer System , 1968 .

[7] R. Guidorzi. Canonical structures in the identification of multivariable systems , 1975, Autom..

[8] T. Westerlund,et al. Stochastic modelling and self-tuning control of a continuous cement raw material mixing system , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[9] A. K. Swain. Material mix control in cement plant automation , 1995 .

[10] K. T. Westerlund. Real-Time Optimization of Raw Materials in the Cement Industry , 1983 .

[11] Jenő Hetthéssy,et al. Adaptive Composition Control , 1992 .

[12] C. Ozsoy,et al. Constrained MIMO self-tuning composition control in cement industry , 1999, 1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Proceedings ETFA '99 (Cat. No.99TH8467).