Modelling and Identification of the Feed Preparation Process of a Copper Flash Smelter

摘要

In this paper the feed preparation process of the copper flash smelter at Outokumpu Harjavalta plant is studied from a control theoretic perspective. The aim of the study is to identify a dynamic process model from experimental data and to compare different model structures. A sampling campaign was arranged to provide data for identification. The process was modelled with an adaptive ARX model and with a blending tanks model where the process units were modelled as first-order systems. A Kalman filter was used to estimate the process state. The Kalman filter was the most efficient algorithm for predicting the process output and it has been successfully used online to the process.