The Sintering Process Btp Intelligent Control Strategy And Industrial Applications

Sintering process is essential in the procedure of the iron and steel smelting, sinter, the quality of which has a direct impact on the quality of steel, is a vital raw material for blast furnace. Burn-through Point (BTP) is the most important heat state parameter in sintering process, and a sign to determine whether the process is normal or not. Sintering process is a complex system with time-dely and time-varying. BTP often fluctuates and cannot suppress the disturbance, due to the difficulty to detect some parameters, uncertainty and disturbance.This paper analysised the mechanism of sintering process, and summarized the main difficulties existed in BTP control problem. Based on the system identification and intellegent control theory, BTP intellegent control stategy is proposed to achieve the stability of BTP and ensure that the quality and quantity indicators meet the requirements.First, these two soft-sensoring models, including BTP and vertical sintering speed, are builded, due to some important parameters cannot be detected on-line. Through the analysis of the characteristics of sintering process and the influencing factors of BTP, an AutoRegressive with eXternal (ARX) model structure are defined to describe sintering process, and BTP prediction model is obtained by closed-loop identification method. Then a feed-forward fuzzy controller is designed to counteract the influence from some feedforward disturbance, such as water, bed height and so on. Besides, in order to improve the accuracy of BTP control in stable operation situation, the optimal stand speed is computed based on the current vertical sintering speed obtained from the soft-sensoring model.Simulations validate the effectiveness of the strategy proposed in this paper for modeling and controlling. Meanwhile, in order to verify its value of practical application, BTP intellegent control system is developed based on the original control system of a sintering plant in an iron and steel enterprise. The running results show that the system achieve the stable control of BTP, reduce the fluctuation and labor intensity, and effectively improve the utilization factor of the sintering machine and the quality of sinter.