TY - JOUR
T1 - A cloud-based motion control platform for smart manufacturing utilizing high-speed low-latency wireless networks
AU - Hsieh, Ying Feng
AU - Chen, Shang Liang
AU - Lee, Kuei Ming
N1 - Publisher Copyright:
© IMechE 2025.
PY - 2025
Y1 - 2025
N2 - This study presents a cloud-based motion control system designed for high-speed, low-latency wireless networks. The system deconstructs the functions of traditional controllers, transferring some functionalities to a central cloud and edge clouds. It then introduces the concept of cloud services, transforming the core functions of controllers into control services. Using virtualization technology, edge cloud servers are capable of running multiple control services simultaneously. This design allows system integration to occur internally within the edge cloud servers through data exchange, without the need to address communication issues of physical device hardware. The aim is to replace physical controllers, reduce equipment costs, and facilitate easier integration among different devices. Finally, through experiments, this study verifies the performance of the proposed cloud-based motion control system utilizing high-speed, low-latency wireless networks. It compares and explores scenarios involving both single-machine control and multi-machine control, confirming that the architecture proposed in this study enables more flexible control of factory equipment.
AB - This study presents a cloud-based motion control system designed for high-speed, low-latency wireless networks. The system deconstructs the functions of traditional controllers, transferring some functionalities to a central cloud and edge clouds. It then introduces the concept of cloud services, transforming the core functions of controllers into control services. Using virtualization technology, edge cloud servers are capable of running multiple control services simultaneously. This design allows system integration to occur internally within the edge cloud servers through data exchange, without the need to address communication issues of physical device hardware. The aim is to replace physical controllers, reduce equipment costs, and facilitate easier integration among different devices. Finally, through experiments, this study verifies the performance of the proposed cloud-based motion control system utilizing high-speed, low-latency wireless networks. It compares and explores scenarios involving both single-machine control and multi-machine control, confirming that the architecture proposed in this study enables more flexible control of factory equipment.
UR - https://www.scopus.com/pages/publications/105001419499
UR - https://www.scopus.com/pages/publications/105001419499#tab=citedBy
U2 - 10.1177/09544054251326001
DO - 10.1177/09544054251326001
M3 - Article
AN - SCOPUS:105001419499
SN - 0954-4054
JO - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
JF - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
ER -