Control of liquid column height in electromagnetic casting with fuzzy neural network model

来源期刊：中国有色金属学报(英文版)2002年第5期

论文作者：李朝霞 郑贤淑

文章页码：922 - 925

Key words：electromagnetic casting; shape of liquid column; fuzzy neural network; pattern recognition

Abstract: The control of suitable and stable height of liquid column is the crucial point to operate the electromagnetic casting(EMC) process and to obtain ingots with desirable shape and dimensional accuracy. But due to the complicated interact parameters and special circumstances, the measure and control of liquid column are quite difficult. A fuzzy neural network was used to help control the liquid column by predicting its height on line. The results show that the stabilization of the height of liquid column and surface quality of the ingot are remarkably improved by using the neural network based control system.