Process Parameter Monitoring and Control Using Digital Twin

Abstract

With the growing deployments of Internet of Things (IoT) systems, the importance of the concept of a digital avatar of a physical thing has gathered significant interest in the recent years. Digital twin means a virtual copy of a system in operation to measure, monitor, and analyze the operational performance through continuous collection of real-time data. Evolution of sensor technology, investment in infrastructure to capture digital data of physical product, and innovation in analytical software platforms over the years is helping adoption of digital twin technology in the industry. Here we are using the open modelica software for simulation of the model. In this paper, a nonlinear model-based approach is developed for controlling pressure of an actuator chamber. Through sliding mode control approach, the controller utilizes a on/off solenoid valve to implement pressure control task.