Abstract
Controller failures can result in unsafe physical plant operations and deteriorated performance in industrial cyber–physical systems. In this paper, we present a controller switching mechanism over wireless sensor–actuator networks to enhance the resiliency of control systems against problems and potential physical failures. The proposed mechanism detects controller failures and quickly switches to the backup controller to ensure the stability of the control system in case the primary controller fails. To show the efficacy of our proposed method, we conduct a performance evaluation using a hardware-in-the-loop testbed that considers both the actual wireless network protocol and the simulated physical system. Results demonstrate that the proposed scheme recovers quickly by switching to a backup controller in the case of controller failure.
Highlights
IntroductionA key technology to realize industrial Cyber–physical systems (CPSs) is wireless sensor–actuator networks (WSANs) that can be used for information delivery between physical systems and control software [4]
We focus on the low-power wideband (LWB) protocol for our Cyber–physical systems (CPSs) design because it was designed as a lowpower multihop wireless solution
We proposed a new wireless sensor–actuator networks (WSANs) capable of enhancing control system resiliency
Summary
A key technology to realize industrial CPSs is wireless sensor–actuator networks (WSANs) that can be used for information delivery between physical systems and control software [4]. Studies were conducted on the stability of WSAN physical systems [5], there is a lack of stability assurance research on controller failures. We used the low-power wideband (LWB) wireless protocol for fast controller switching Since it employs synchronous transmission, it provided reliability above 99.9% in real-world scenarios [8]. Instead of modeling and simulating IoT systems and services [9], we established a testbed that considers both the actual wireless network protocol and the physical system of the simulated process industry, verifying the performance of the developed technology.
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