TY - GEN
T1 - Event-based control as a cloud service
AU - Abdelaal, Alaa Eldin
AU - Hegazy, Tamir
AU - Hefeeda, Mohamed
N1 - Publisher Copyright:
© 2017 American Automatic Control Council (AACC).
PY - 2017/5/26
Y1 - 2017/5/26
N2 - Event-based control has gained significant interest from the research community in recent years because it allows better resource utilization in networked control systems. In this paper, we propose an architecture for offering event-based control as a service from the cloud, which not only improves resource utilization but also reduces the cost and setup time of large-scale industrial automation systems. Providing event-based control from the cloud, however, poses multiple research challenges. We address two of the main challenges, which are the network delays and failures introduced because of moving the controller far away from the plant. We present a delay mitigation technique that maintains the stability and performance of the control system. Our results using commercial clouds show that our delay mitigation technique can handle large communication delays up to several seconds with practically zero effect on the main performance metrics of the system. Moreover, our proposed fault tolerance approach can effectively handle network failures even if the controlled system is thousands of miles away from its cloud controllers.
AB - Event-based control has gained significant interest from the research community in recent years because it allows better resource utilization in networked control systems. In this paper, we propose an architecture for offering event-based control as a service from the cloud, which not only improves resource utilization but also reduces the cost and setup time of large-scale industrial automation systems. Providing event-based control from the cloud, however, poses multiple research challenges. We address two of the main challenges, which are the network delays and failures introduced because of moving the controller far away from the plant. We present a delay mitigation technique that maintains the stability and performance of the control system. Our results using commercial clouds show that our delay mitigation technique can handle large communication delays up to several seconds with practically zero effect on the main performance metrics of the system. Moreover, our proposed fault tolerance approach can effectively handle network failures even if the controlled system is thousands of miles away from its cloud controllers.
UR - https://www.scopus.com/pages/publications/85027051881
U2 - 10.23919/ACC.2017.7963086
DO - 10.23919/ACC.2017.7963086
M3 - Conference contribution
AN - SCOPUS:85027051881
T3 - Proceedings of the American Control Conference
SP - 1017
EP - 1023
BT - 2017 American Control Conference, ACC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 American Control Conference, ACC 2017
Y2 - 24 May 2017 through 26 May 2017
ER -