effect and function relation of static model and dynamic model for controlling end-point of converter steelmaking have been analyzed. According to the handicapped present situation of sensor for medium and small size converters
the comparison between optimal static model based on established GA-BP hybrid algorithm for predicting end-point of converter steelmaking and quasi-dynamic control model for predicting end-point of converter steelmaking has been compared from modeling principle
methodology and application effect. It is believed that prediction effect of a static model may be improved with GA-BP hybrid algorithm and the quasi-dynamic control model can reflect dynamic operation and the influence of operation in melting and charging process on first turndown time and end-point of converter steelmaking.