Design of a Self-Tuning PID Controller for a Temperature Control System Using Fuzzy Logic

Tauhidul Islam, M. and Islam, A. and Kumar, R. and Mustafa Abro, G.E. and Majumdar, S. and Oad, V.K. (2022) Design of a Self-Tuning PID Controller for a Temperature Control System Using Fuzzy Logic. Lecture Notes in Electrical Engineering, 758. pp. 643-649. ISSN 18761100

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Abstract

Temperature plays a significant role in industrial realm, especially in metallurgy and chemical industries. As maintaining optimal conditions in manufacturing can make a huge difference to its profitability and efficiency. Without providing a proper temperature control, the entire production lines can fall apart. Every product needs to be manufactured in an individual and specific conditions. If the temperature is too high or too low then it can affect the output product, potentially it may ruin completely and leads to wasting of raw materials. To maintain the stability of temperature requiring in any situation a temperature control system is needed. Typically classical conventional PID controllers are being used but these controllers have some lack of efficiency in controlling. These controllers exhibit higher overshoot, long rise time and settling time. Self- tuning Fuzzy PID controllers are more efficient than those classical PID control- lers. In this paper we proposed a design of Fuzzy Logic based self-tuning PID controller to reduce overshoot and conquer long rise time and settling time. This design provides more suitable and effective control to the temperature control system in industries. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Item Type: Article
Additional Information: cited By 2; Conference of 1st International Conference on Artificial Intelligence for Smart Community, AISC 2020 ; Conference Date: 17 December 2020 Through 18 December 2020; Conference Code:286319
Uncontrolled Keywords: Chemical industry; Computer circuits; Controllers; Efficiency; Electric control equipment; Proportional control systems; Temperature control; Three term control systems, Conventional PID; First self-tuning PID controller; Fuzzy interference system; Fuzzy interference systems; Fuzzy-Logic; PID controllers; Risetimes; Self-tuning PID; Settling time; Temperature control systems, Fuzzy logic
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 19 Dec 2023 03:23
Last Modified: 19 Dec 2023 03:23
URI: https://khub.utp.edu.my/scholars/id/eprint/17400

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