In this paper, we present the design of temperature control for industrial heat treating furnace by using Intelligent Fuzzy Logic and PID controllers. Temperature control is important in heating processes as it can disqualify materials in terms of their physical properties when not well performed. Obviously PID temperature controller is the most used in industries to control non-linear processes. Consequently, it has been found that the output response from Fuzzy Logic is very accurate in terms of overshoot and steady state error when compared to that of PID. Moreover, both temperature controllers are modeled and simulated using MATLAB software.

Design of temperature control system using conventional PID and Intelligent Fuzzy Logic controller

KARIMI, HAMID REZA
2015-01-01

Abstract

In this paper, we present the design of temperature control for industrial heat treating furnace by using Intelligent Fuzzy Logic and PID controllers. Temperature control is important in heating processes as it can disqualify materials in terms of their physical properties when not well performed. Obviously PID temperature controller is the most used in industries to control non-linear processes. Consequently, it has been found that the output response from Fuzzy Logic is very accurate in terms of overshoot and steady state error when compared to that of PID. Moreover, both temperature controllers are modeled and simulated using MATLAB software.
2015
iFUZZY 2015 - 2015 International Conference on Fuzzy Theory and Its Applications, Conference Digest
9781467365703
Controller; Furnace; Fuzzy Logic; PID; Temperature; Artificial Intelligence; Control and Optimization; Discrete Mathematics and Combinatorics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1017794
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