학술논문

Enhancing Industrial Process Control: Integrating Intelligent Digital Twin Technology with Proportional-Integral-Derivative Regulators
Document Type
article
Source
Machines, Vol 12, Iss 5, p 319 (2024)
Subject
digital twin
intelligent digital twin
PID control optimization
state estimator
biomass boiler
process control
Mechanical engineering and machinery
TJ1-1570
Language
English
ISSN
2075-1702
Abstract
This paper explores the integration of intelligent digital twin technology with PID regulators in industrial process control utilizing smart meter data. It presents a novel approach involving the creation of mathematical models to simulate real-time system behavior, thereby enhancing the PID control loop. The focus is on the development of specialized IT infrastructure to support this integration, which includes data acquisition, processing, and control optimization. This integration aims to not only improve control system efficiency but also introduce a robust predictive maintenance framework, offering significant benefits across a wide range of industrial applications.