Fuzzy controller for cement raw material blending

Abstract

The main goal of raw material mill blending control in the cement industry is to maintain the chemical composition of the raw meal near the reference cement modules for the kiln at a desired value with minimum variance despite variations in the raw material composition. Because of the continuous variations in the chemical composition of the raw materials, one cannot work with a fixed blending scheme. The lack of an on-line measurement system, for the raw material chemical composition, additionally complicates the construction of the control algorithms. In this paper, a new type of the Takagi - Sugeno (TS) fuzzy controller based on the incremental algorithm for cement raw material blending purposes is presented. The presented control algorithm was tested on the raw mill simulation model within a Matlab™- Simulink™environment. Parameters of the simulation model were set up based on the measurements from the actual raw mill. Several step tests were carried out to validate the model. The results of the control study indicate that the proposed algorithm can improve cement raw material blending.