Modeling and Parameter Identification of Raw Meal Calcination Process

Abstract

Raw meal calcination system is a complex mechanical and electrical integration system. This system is different from the traditional machining process without a chemical reaction. Moreover, raw meal calcination in calciner is a complex physical–chemical process, and its dynamic characteristics were rarely researched. In order to verify the rationality of the mechanical structure designed, the dynamic characteristics of the raw meal calcination system need to be analyzed in advance. Therefore, a mathematical model of this process is being called for. The most important variables to be controlled are the calciner temperature and the outlet temperature of preheater C1 (i.e., the no. 1 preheater). Because of the big time constant associated with thermal dynamic characteristics, controlling the two variables is a thorny problem. This paper presents a modeling and parameter identification procedure for a raw meal calcination process. In addition, a parameter identification method based on the T–S fuzzy model and radial basis function was proposed because the specific heat capacity of pulverized coal particles, raw meal, and exhaust cannot be measured. The performance index of parameter identification is to minimize the difference of force response between the simulation and the experiment. Finally, both modeling and parameter identification methods were validated by comparing the results of simulation and experiments.