Modelling of the raw mixing process in cement industry


Ozsoy C., Kural A., Baykara C.

8th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2001), ANTIBES JUAN LES PINS, France, 15 - 18 October 2001, pp.475-481 identifier

  • Publication Type: Conference Paper / Full Text
  • City: ANTIBES JUAN LES PINS
  • Country: France
  • Page Numbers: pp.475-481

Abstract

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