Visual feedback Control based on image information for the Swirling-flow Melting Furnace

Abstract

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