Modelling of the raw mixing process in cement industry

Abstract

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.