Development and Implementation of Programmable Logic Controller (PLC) Systems for Real-Time Industrial Automation

Authors

  • Chhoeung Rachana Head of the Department of Computer Studies Norton University, Cambodia Author

Keywords:

PLC, IEC 61131 3,, real time control, industrial automation,, cybersecurity, modularity,, OPC UA, formal verification, Industry 4.0

Abstract

Programmable Logic Controllers (PLCs) are indispensable components in real‑time industrial automation, enabling precise, flexible, and robust control over complex manufacturing processes. This study explores the development and implementation of PLC systems, focusing on their design, performance, and integration within contemporary Industry 4.0 environments. The paper begins with a concise overview of PLC architecture and working principles, emphasizing execution in real time and their hardened construction for industrial settings anadiautomation.com. Through a systematic literature review, key advancements in PLC programming paradigms—including IEC 61131‑3 languages and emerging object‑oriented approaches—are identified, along with associated challenges in cybersecurity and formal verification raypcb.com+1reddit.com+1. The research methodology involves both qualitative and quantitative analyses, including case studies and benchmark comparisons of PLC-based control within assembly-line and process‑control applications. Findings demonstrate significant advantages in reliability, modularity, scalability, and real-time response, but also reveal disadvantages such as high initial costs, vendor lock-in, and potential cybersecurity vulnerabilities . In particular, integration with legacy systems and the rising exposure to cyber‑attacks emerge as critical concerns. The discussion contextualizes results, highlighting trade-offs and proposing frameworks for more secure, modular, and open PLC architectures. The conclusion underscores PLCs’ pivotal role in modern automation ecosystems while recommending future research on open‑standard adoption, formal verification tools, and secure PLC communication protocols. Future work should explore integration of machine-learning techniques for predictive maintenance and run-time security, formal certification methods, and broader adoption of open communication standards such as OPC UA . The paper offers a comprehensive roadmap for advancing PLC systems toward more resilient, interoperable, and intelligent industrial control solutions.

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Published

2025-06-30