TY - JOUR
T1 - An Optimal Operation Control Framework for Digital Twin Manufacturing Cell
AU - Zhou, Yaguang
AU - Zhou, Guanghui
AU - Zhang, Chao
N1 - Publisher Copyright:
© 2023 Elsevier B.V.. All rights reserved.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Digital twin
KW - Digital twin manufacturing cell
KW - Disturbance optimal control
KW - Optimal operation control framework
KW - Production process modelling
UR - https://www.scopus.com/pages/publications/85173583194
U2 - 10.1016/j.procir.2023.06.058
DO - 10.1016/j.procir.2023.06.058
M3 - 会议文章
AN - SCOPUS:85173583194
SN - 2212-8271
VL - 118
SP - 336
EP - 341
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2022
Y2 - 13 July 2022 through 15 July 2022
ER -