Operating-State-Based Intelligent Control of Combustion Process of Coke Oven

Abstract

This paper describes a hierarchical intelligent integrated control method for controlling the combustion process in a coke oven. A key feature is the determination of the operating state of the oven from an analysis of the characteristics of the process. The system contains three layers: a decision layer, a temperature optimization and control layer, and a process control layer. An information fusion method is used in the decision layer to determine the operating state of the combustion process. The control strategy uses an outer and an inner loop. The outer loop uses fuzzy controllers to adjust the temperature, and to generate proper settings for the gas flow rate and air suction power for the inner loop. The parameters of the outer loop controllers are tuned by a multiple-objective optimization method with an adaptive genetic algorithm. The inner loop controllers keep the temperature of the coke oven in the proper range. A switching control strategy is used to select a suitable controller for the current operating state.