Adaptive Control Based Electric Furnace Temperature Control Using Simulink

Abstract

In this paper, we have overcome the main problem of thermal tempering manufacturing process for temperature control of glass tempering furnace. Conventional methods for glass tempering are proportional, integral, derivative & fuzzy PID is inefficient for adapting the environmental system disturbances. Hence, the efficiency of the furnace is improved by using Model Reference Adaptive Control. It also gets a good dynamic response. In this paper, we also implemented feedforward control using with MIT rule. These methods tackle the variation of process dynamics and improve efficiency. The electric furnace for the temperature control model is controlled adaptively based on MIT rule and simulated using MATLAB/SIMULINK.