Visual feedback control systems for the swirling-flow melting furnace

In this paper, a new visual feedback control system for a swirling-flow melting furnace is proposed. The method controls the furnace combustion by manipulating the burner fuel based on image data, which shows the melting condition inside the furnace. The feature of this control system is that a tracking property is realized by using an adaptive control algorithm, which changes the control gain based on image evaluation as the melting point varies. Through actual experiments, it is clear that this visual feedback control system can control its combustion stably