학술논문

Modelling of the raw mixing process in cement industry
Document Type
Conference
Source
ETFA 2001. 8th International Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.01TH8597) Emerging technologies and factory automation Emerging Technologies and Factory Automation, 2001. Proceedings. 2001 8th IEEE International Conference on. :475-481 vol.1 2001
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
Power, Energy and Industry Applications
Cement industry
Raw materials
Production facilities
Iron
Control systems
Adaptive control
Stochastic systems
Feeds
MIMO
Kilns
Language
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.