Abstract
In this paper, we consider automatic temperature control system which is the most important part in blast furnace operation. In general, automatic temperature control for blast furnace is very difficult and sensitive because it is affected by a number of factors. So firstly, this paper describes temperature control model for blast furnace by using Takagi-Sugeno (TS) fuzzy model based on input-output data. Secondly, this paper describes automatic temperature control techniques based on model predictive control (MPC) techniques that are widely used in industrial process control practice [6]-[9]. We propose the framework to build numerical model describing blast furnace based on TS-fuzzy inference system and to control automatic temperature control system using MPC.
Published Version
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