DEVELOPMENT OF AN INTELLIGENT CONTROL SYSTEM FOR THE PRODUCTION TECHNOLOGICAL PROCESS

Abstract

 This thesis focuses on the development of an intelligent control system (ICS) for managing technological processes in industrial production. The primary aim of the research is to design a system that can monitor, predict, and optimize process parameters in real time using advanced data acquisition, signal processing, and artificial intelligence algorithms. The study demonstrates that the ICS improves process stability, reduces downtime, enhances product quality, and optimizes resource utilization. Predictive modeling and multi-objective optimization enable proactive decision-making, while automated control execution ensures continuous adaptability to changing production conditions. Integration with enterprise systems such as MES, ERP, and IIoT platforms supports centralized management, predictive maintenance, and the digital transformation of manufacturing processes. The results indicate that implementing an ICS provides significant economic, operational, and technological advantages, making it a crucial tool for modern industrial enterprises seeking efficiency and competitiveness.