Real-Time Implementation and Performance Comparison of PID and Fuzzy Logic Controllers for Industrial Temperature Regulation
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Fuzzy Logic Control, PID, Temperature Control, mperature Process Station Model (3504), Real-Time Control, Membership Functions, Fuzzy Logic Rules
Abstract
This paper aims to achieve precise real-time temperature control in the Temperature Process Station Model (3504) by leveraging the capabilities of fuzzy logic control (FLC). Compared to conventional Proportional–Integral–Derivative (PID) controllers, FLC demonstrates the potential for enhanced performance and accuracy. The implementation of this research was facilitated through the utilisation of the Arduino Support Package, establishing a reliable connection between an Arduino board and MATLAB for effective interfacing and real-time control of the temperature process station. The results of this study show that the FLC outperformed the PID controller in real-time operation. Specifically, the FLC achieved a lower overshoot (1.45% compared to 1.875% for the PID), a faster rise time (396.6 seconds compared to 856 seconds), and a smaller time constant (198 seconds compared to 358 seconds). These outcomes highlight FLC as a more efficient and reliable control approach for temperature regulation in the Temperature Process Station Model (3504).
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