Design and Implementation of a Web Based SCADA for Closed Loop PID Control Optimized by AI with PLC Integration: A Multi-Layer Architecture Integrating Real-Time Monitoring, Intelligent PID Tuning, and Industrial Automation

Ramadhan, Laode Abdikarso Panca (2025) Design and Implementation of a Web Based SCADA for Closed Loop PID Control Optimized by AI with PLC Integration: A Multi-Layer Architecture Integrating Real-Time Monitoring, Intelligent PID Tuning, and Industrial Automation. Jurnal Edukasi Elektro, 9 (2). pp. 159-169. ISSN 2548-8260

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Official URL: https://journal.uny.ac.id/index.php/jee/article/vi...

Abstract

This journal aims to design and implement a Web Based SCADA system integrated with PLC and using the Firefly algorithm for PID control parameter optimization in a closed loop system. The system is developed following the ISA-95 architecture on 1st Layer to 3rd Layer, including data collection via PLC, monitoring via SCADA, and AI-based control and analysis. The Firefly algorithm is used to automatically refine the Kp, Ki, and Kd parameters so that the control system works optimally. Testing was carried out on a liquid level control system using the LCV-01 valve control. The results showed that the Firefly method produced faster steady state time and lower overshoot compared to the manual and Ziegler-Nichols methods. The developed Web Based SCADA interface supports real time monitoring, multiuser, historical data trending, and is flexible to access via a browser without special installation. This SCADA-AI-PLC integration provides an adaptive, efficient, and economical solution for modern industrial automation.

Item Type: Article
Uncontrolled Keywords: SCADA, Web, PID Controller, Artificial Intelligence, PLC.
Subjects: Engineering > Electronical Engineering
Engineering
Divisions: Faculty of Engineering > Electronical Engineering Study Program
Depositing User: Laode Abdikarso Panca Ramadhan
Date Deposited: 12 Jun 2026 03:19
Last Modified: 12 Jun 2026 03:19
URI: http://eprints.umg.ac.id/id/eprint/16564

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