Publication Details
Abstract
The rapid advancement of industrial automation has increased the demand for reliable, efficient, and intelligent control systems capable of operating in real-time environments. Among the most widely adopted technologies, Programmable Logic Controllers (PLCs) and Supervisory Control and Data Acquisition (SCADA) systems play a central role in modern automated control architectures. This study investigates the impact of PLC–SCADA integration on the performance of automated control systems through an experimental evaluation based on recent industrial practices. A representative automation testbed was developed using PLC hardware for deterministic control and a SCADA platform for supervisory monitoring, data acquisition, and alarm management. Key performance indicators, including response time, control accuracy, system availability, data throughput, and fault detection time, were measured and analyzed under different operating conditions. The results demonstrate that PLC–SCADA integration significantly enhances control responsiveness, improves accuracy, increases system reliability, and reduces fault detection latency compared to stand-alone PLC operation.The findings confirm that PLC and SCADA systems, when combined within a hierarchical control framework, provide substantial benefits for automated control applications across industrial domains. Furthermore, the study highlights the continued relevance of PLC–SCADA architectures in the context of Industry 4.0 and data-driven automation, where scalability, real-time monitoring, and operational transparency are essential. The outcomes of this research offer practical insights for engineers and researchers seeking to design efficient, resilient, and intelligent automated control systems.