Intelligent Control of Pre-Chamber Pressure Based on Working Condition Identification for the Coke Dry Quenching Process

The pre -chamber pressure is an important control parameter that affects the coke dry quenching process. It often fluctuates violently and is detrimental for the safe operation of the coke dry quenching process. This study proposes an intelligent control method for the pre -chamber pressure based on working condition identification for the coke dry quenching process to realize stable control of the pre -chamber pressure. First, by describing the coke dry quenching process and analyzing the factors affecting the pre -chamber pressure, an intelligent control strategy was developed. Then, the K -means clustering algorithm was used to identify the working conditions of pre -chamber, and the working conditions were divided into two categories: stable and fluctuating. For stable conditions, a fuzzy proportional -integral -derivative controller was designed to improve the pressure control accuracy. For fluctuating conditions, an expert controller was designed to rapidly adjust the pressure. Finally, experiments based on actual data were performed and the results showed that the proposed method can effectively improve the control accuracy of pressure under different conditions. This satisfies the requirements for a continuous coke dry quenching process.