Intelligent Control Strategy Based on PSO-Elman Prediction Model for Ignition Temperature in Sintering Process

Ignition temperature in a sintering process is a dominant factor for the quality of sinter ore. However, it is difficult to control the temperature since the pressure of the gas that is used in the ignition fluctuates constantly. This paper presents an intelligent control to stabilize the ignition temperature in a sintering process. First, this paper analyzes the characteristics of an ignition process and studies the main factors affecting the ignition temperature. Then, a particle swarm optimization (PSO)-Elman model is established to predict the ignition temperature. Next, this paper describes an intelligent control system, including a fuzzy controller, two expert controllers, and a switching controller. Finally, the experimental results based on actual run data show that the intelligent control strategy stabilizes the ignition temperature.