Fuzzy Modeling by Data- Extracted Fuzzy Rules of Cement Rotary Kiln Based on WM Method

Abstract

This research applys a fuzzy modeling method based on sampling data to the modeling of cement rotary kiln. By analyzing the sampling data in the actual production process, the mathematical model of the cement rotary kiln calcining system is established using the WM fuzzy modeling algorithm. The modeling method realizes the identification and optimization of the fuzzy rules. The simulation analysis is carried out through the Matlab software. The results show that this method has a high precision. It provides a reference to establish the system's mathematical models.