I. Zaitceva, Boris Andrievsky, Leonid A. Sivachenko
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引用次数: 0
Abstract
The demand for the development of cyber-physical systems remains high across various production sectors. While some industries have made significant strides, others still require ongoing research and development efforts. This article delves into the application of feedback control for equipment in the processing industry, using a two-rotor vibration machine equipped with induction motors as a case study. Conventionally, such equipment is manually operated with the help of affordable constructive facilities, which does not align with the principles of Industry 4.0. In response, this paper explores an architecture for an automatic control system capable of handling various technological tasks, including mixing and transporting processed media. This architecture encompasses several components, such as real-time regulator tuning, control of the rotor speed loop, and/or adjustment of the phase shift between the rotors based on machine sensor measurements. A notable advantage of this control system lies in its complete software-based implementation. The article also presents the findings from full-scale experiments, demonstrating the capabilities and effectiveness of the proposed approach.
期刊介绍:
The scope of the journal includes: -Nonlinear dynamics and control -Complexity and self-organization -Control of oscillations -Control of chaos and bifurcations -Control in thermodynamics -Control of flows and turbulence -Information Physics -Cyber-physical systems -Modeling and identification of physical systems -Quantum information and control -Analysis and control of complex networks -Synchronization of systems and networks -Control of mechanical and micromechanical systems -Dynamics and control of plasma, beams, lasers, nanostructures -Applications of cybernetic methods in chemistry, biology, other natural sciences The papers in cybernetics with physical flavor as well as the papers in physics with cybernetic flavor are welcome. Cybernetics is assumed to include, in addition to control, such areas as estimation, filtering, optimization, identification, information theory, pattern recognition and other related areas.