Multi-agent System of Automatic Control of а Modern Electric Drives in the Age of Industry 4.0
Abstract
Abstract. Industry 4.0 is characterized by the use of interconnected intelligent systems capable of real-time data exchange, distributed decision-making, and automation. The electric drive is one of the main components for the implementation of rotational and translational motion in complex electromechanical systems, such as Cyber-Physical Systems. Modern technological innovations lead to the increasing penetration of information technologies into various levels of electromechanical systems, including electric drive systems. As research shows, Embedded Computer Systems are widely used in automation systems nowadays. At the same time, the use of Digital Twins makes electric drives an object of simulation and leads to the need for real-time communication to monitor the status of electric drives and optimize their operation. The need for distributed decision-making when performing complex technological processes under conditions of uncertainty of external influences on the system requires a transition from rigidly specified electric drive control logic to adaptive and intelligent control systems. To this end, the current research proposes an intelligent automatic control system for a modern electric drive using a Multi-Agent control model. The proposed approach to developing an automatic control system provides flexibility to the control system in implementing intelligent control algorithms, adaptability to application conditions, and the possibility of continuous optimization using artificial intelligence elements.
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