DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE-BASED SYSTEM FOR AUTOMATIC CONTROL OF TECHNOLOGICAL PROCESSES

In the context of industry digitalization and the transition to the “Industry 4.0” concept, the development of intelligent automatic control systems for technological processes is becoming increasingly relevant. Traditional control methods based on classical regulators and rigidly defined algorithms prove insufficient when working with complex, nonlinear, multiparametric objects operating under conditions of uncertainty and external disturbances. This article examines the development of an automatic control system for technological processes based on artificial intelligence methods, including machine learning, fuzzy logic, and intelligent forecasting models. The architecture of an intelligent control system integrated with the PLC/SCADA level is proposed, methods for forming virtual analyzers and predictive models are described, and the results of modeling and comparative analysis of the effectiveness of the developed system in relation to traditional control algorithms are presented.