For the automatic control of glass quality in glass production, the relation between process variable and product or glass quality and process conditions/process input parameters must be known in detail. So far, detailed 3-D glass melting simulation models were used to predict the effects of process input variables, such as fuel consumption and fuel distribution, load and load distribution, and electrical boosting, on the flow pattern, temperature distribution and redox state of the glass in the furnace. However, computations of detailed 3-D simulation models are very time-consuming. This paper will show the capability of a MPC that is based on fast GPS to control temperature and temperature uniformity of one of the feeders connected to an emerald-green container glass furnace.
