Design and optimization of a self-tuning PID controller based on Fuzzy Logic for Temperature Control System of Furnace

Abstract

The furnace temperature is considered the most significant parameter in industrial control. It plays a major role in various industries like chemical, automotive, metallurgy and machinery industries, etc. The stability of temperature should be controlled properly in furnaces. Because maintaining optimal conditions in manufacturing can make a huge difference to its profitability and efficiency. Conventional PID controllers require a complex model with having various limitations; moreover, these controllers exhibit higher overshoot, and long rise time, and settling time. Whereas the fuzzy PID controllers provide better efficiency with robustness. Here, in this paper we proposed a new design of fuzzy logic based self-tuning PID controller for furnace temperature control system. This proposed design provides better overshoots, lesser rise time, and endurable settling time than the conventional method used PID controllers like Ziegler-Nichols method and Tyreus-Luyben method. This proposed design also reflects that the proposed self-tuning fuzzy PID controller is more suitable and effective for the industrial furnace temperature control system.