DYNAMIC RECONFIGURATION OF CONTROL ALGORITHMS IN A PROGRAMMABLE LOGIC CON-TROLLER FOR FLEXIBLE AUTOMATION OF PRODUCTION PROCESSES

Abstract

This paper presents a novel approach to enhancing the flexibility and efficiency of industrial automation through the dynamic reconfiguration of control algorithms in programmable logic controllers (PLCs). However, the traditional approach to PLC programming, which is static in nature, limits the flexibility and effectiveness of industrial systems as production processes become more complicated and changeable. The goal of this research is to improve the flexibility and effectiveness of automation in production processes by exploring the creation of a technique for the dynamic reconfiguration of control algorithms in PLCs. This study introduces a novel system architecture designed to enhance the flexibility of industrial automation. By developing a method that allows for the real-time adaptation of control strategies in response to changes in production demands and processes, this research addresses a significant limitation in traditional PLC programming, which is its static nature. The deployment of dynamically reconfigurable control algorithms has had a profound impact on production efficiency. A cornerstone achievement of this research was the system's demonstrated adaptability to changing production requirements. The proposed solution, tested in various industrial scenarios, demonstrates significant improvements in production adaptability, efficiency, and system resilience, paving the way for more versatile and sustainable manufacturing environments. The study demonstrated a 40% improvement in system responsiveness and a fivefold increase in downtime reduction. Our findings suggest that the dynamic reconfiguration of PLC control algorithms not only optimizes production processes but also significantly reduces the time and cost associated with reprogramming efforts, thus contributing to the advancement of flexible automation technologies.