Temperature Control in Cement Rotary Kiln with Neural Network-Based Heuristic Dynamic Programming

During the production process of modern cement industry, the rotary kiln is the key equipment .The temperature of cement rotary kiln is a large lag, large inertia, complex nonlinear controlled object. There are many external factors influencing the temperature, and there exist coupling and uncertainties among various factors. Approximate Dynamic Programming (ADP) is an on line control approach that based on actual data rather than on the accurate mathematical model of the controlled object. Through technical studies on the cement rotary kiln, this paper proposes to control the temperature of rotary kiln by using Heuristic Dynamic Programming (HDP) which is a type of ADP. A simulation of the cement rotary kiln is carried out using Matlab. The simulation results show that the HDP controller has good performance. It is possible to keep the temperature of sintering zone stable in a certain range, and the temperature can meet the requirements of cement clinker production.