This paper presents modelling and identification of an air cooling process in a steel strip line. The model is derived from the heat balance equation. The distributed parameter system is approximated with a discrete non-linear lumped parameter model. The model accuracy is evaluated with actual operation data and the unknown parameters of the model are estimated off-line. The number of unknown parameters is first reduced and then extended until an appropriate model is achieved. The model is intended to be used in strip temperature control, fault detection and as a basis for a decision on future rebuilding of the system.
In the steel industry, there are many processes that include measuring and control of temperatures. With higher demand on quality, increased production and effective energy consumption the use of non-contact temperature measuring techniques has increased. After the cooling section in a continuous annealing-pickling line, the strip temperature is estimated by using the Grey box technique. Temperatures are measured in the cavity between the strip and the roller using radiation thermometers. A model is made for estimating strip temperature using the measured temperatures and knowledge of physics of the process.
In the steel industry, there are many processes that include measuring and control of temperatures. With higher demand on quality, increased production, and effective energy consumption, the use of noncontact temperature measuring techniques has increased. After the cooling section in a continuous annealing-pickling line, the strip temperature is estimated by using the grey box technique. Temperatures are measured in the cavity between the strip and the roller using radiation thermometers. A model is made for estimating strip temperature using the measured temperatures and knowledge of the physics of the process.