An Optimal Operation Control Framework for Digital Twin Manufacturing Cell

Abstract

Digital workshop is a new application of digital twin combined with discrete manufacturing workshop, which can completely improve the perception level of production status by synchronizing virtual workshop and physical workshop production behavior. To improve the level of operation control in the manufacturing process of digital twin workshop, this paper takes autonomous manufacturing cell as implementation scenario and proposes a data and model-driven framework for digital twin manufacturing cell (DTMC), which could support manufacturing cell optimal operation control by a completely modelling, perceiving and controlling strategy. In addition, three key enabling technologies including manufacturing cell production model, dynamic production status perception, disturbance optimal operation control strategy for supporting the optimal framework are analyzed. Then, an experimental test bed of DTMC is highlighted through a thus constructed production model of machine tool, robots, AGV, and workpiece. Finally, benefits of proposed framework and its current challenges are summarized.