WiNC – Advanced Experimentation Platform for Wireless Networked Control

Chihaia, C. I.; Bredtmann, Oliver; Goldschmidt, Eberhard; Li, Wei; Ding, Steven X.; Czylwik, Andreas

doi:10.3182/20090630-4-es-2003.00164

Cited by 7 publications

(7 citation statements)

References 3 publications

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“…In this section, the proposed methods will be verified on an advanced experimentation platform WiNC [30], which is constructed to explore the control, FD, FTC, and communication issues based on real-time reliable WNCSs. WiNC is built on Linux operating system with KDevelop, which is an open-source software with integrated development environment, thus it is quite accessible for the integration of new FTC or FD algorithms.…”

Section: Application On Winc Platformmentioning

confidence: 99%

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Fault‐tolerant control for wireless networked control systems with an integrated scheduler

Ding

Wang

et al. 2016

Adaptive Control & Signal

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This paper addresses a study of fault-tolerant control (FTC) for wireless networked control systems (WNCSs) in industrial automatic processes. The WNCSs is composed of many subsystems, which operate with different sampling cycles. In order to meet the real-time requirements and ensure a deterministic data transmission, the time division multiple access (TDMA) mechanism is adopted in WNCSs. The data in WNCSs are transmitted following a TDMA-based scheduler. According to the periodicity, WNCSs integrated with the scheduler is first formulated as discrete linear time periodic systems (LTPSs). Afterwards, a fault estimation method for LTPSs is developed under a H 1 performance specification with a regional pole constraint. With the achieved state observer and fault estimator, an FTC strategy for LTPSs is explored. Finally, the proposed methods are verified on a physical experimental WiNC platform. a wide application of NCSs in industry, it is needed to explore an integrated design of FTC strategies and the networks.Along with the wide application of NCSs in large-scale complex plants, the traditional wired NCSs expose some drawbacks gradually, such as inexpedience of installation and maintenance and increment of cabling costs. Recently, a trend of adopting wireless technology into the traditional wired NCSs, that is, wireless NCSs (WNCSs) [10] has been observed. In order to meet the realtime requirements and ensure a deterministic data transmission, the time division multiple access (TDMA) mechanism is broadly employed in industrial WNCSs. The exchanges of packet-based messages are proceeded after a TDMA-based scheduler, which determines the manner of multiple nodes accessing the network simultaneously. As stated in [11,12], the performance of WNCSs not only depends on the design of control algorithms but also on the scheduling of the shared network resources.The co-design problem of control and scheduling has been an emerging trend in recent years. References [13,14] have addressed this problem for stabilizing a linear time invariant (LTI) system, where only limited nodes had the right to access a shared network. A study of FTC strategy for a kind of NCSs with noise disturbance has been presented in [15], where the NCSs was modeled based on the co-design of information scheduling and control. A predictive control and scheduling has been proposed in [16] to deal with the communication constraints for a set of NCSs with network-induced delays. The conditions for quadratic stabilizability of linear NCSs and communication protocols has been developed in [17]. Moreover, the recent researches have been drawn on the FTC strategies for decentralized industrial processes. For instance, [18] has studied the H 1 FTC problem of largescale NCS with time-varying actuator faults, where the Lyapunov stability theory is used to check the asymptotic stability of the faulty NCS. A quantized control design problem for a class of semi-Markovian jump systems with repeated scalar nonlinearities has been concerned in [19]. Reference [20] h...

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Section: Application On Winc Platformmentioning

confidence: 99%

“…TDMA method is adopted in WiNC to ensure the deterministic transmission behaviors. The scheduling approach for real-time decentralized network in WiNC has been reported in [30].…”

Section: Application On Winc Platformmentioning

confidence: 99%

Fault‐tolerant control for wireless networked control systems with an integrated scheduler

Ding

Wang

et al. 2016

Adaptive Control & Signal

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“…In this section, the proposed methods will be verified on the experiment platform WiNC [16,27], which was developed by the faculties of Automatic Control and Complex Systems (AKS) and Communication Systems (NTS) of Duisburg-Essen a University (UDE), Germany, and is now located in the faculty of AKS.…”

Section: Experimental Applicationmentioning

confidence: 99%

“…The controller is comprised of three virtual CSs with information shared among them and each tank attaches to one virtual CS. The actuators, sensors and the remote controller are all embedded with wireless cards as wireless nodes, which work on 5GHz band [27]. By allocating the three sensors working with different sampling rates, the system is discretized into a periodic system.…”

Section: Experimental Applicationmentioning

confidence: 99%

Quadratic Optimal Fault Tolerant Control on Wireless Networked Control Systems for Real‐Time Industrial Applications

Xu¹,

Ding²,

Wang³

et al. 2014

Asian Journal of Control

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In this paper we study the fault tolerant control (FTC) problem on wireless networked control systems (WNCSs) which have been aware of a bright and broad prospect and taken as a development trend of automation industry. We aim at finding an FTC strategy which makes the WNCSs satisfy a quadratic cost function. The FTC law is designed to be related with the system state and the fault. Considering the system state and the fault may be physically unaccessible in the actual control process, an estimation scheme is proposed to estimate the system state and fault simultaneously. Finally, an experimental application is presented to demonstrate the effectiveness of the proposed method.

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“…Network Control Systems (NCS) being one of the most used technologies in industrial communication demand efficient and reliable transmission protocol to collect sensed data from plants and send it to the automation controller to make transient control decision [2]. Towards these objectives, wireless NCS (WNCS) has emerged as a potential solution that not only augments reliable communication but also reduces complexities [3]. The use of WNCS systems in industrial automation has strengthened industries to augment their productivity while assuring maximum fault-resilience, where the role of a robust transmission system is irreplaceable.…”

Section: Introductionmentioning

confidence: 99%

FTmRP-NCS: Fault-Tolerant And Reliable mRPL Routing Protocol For W-NCS Communication

Hingmire¹,

Desai²,

Kanse³

2020

IJRTE

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The exponential rise in the demands for reliable and fault resilient communication over Wireless Network Control Systems (WNCS) across industrial monitoring and control ecosystems has alarmed academia-industries to develop more efficient wireless transmission solutions. On the other hand, the emergence of cloud-assisted Internet-of-Things (IoT) also has broadened the demands for reliable WNCS systems. To cope up with such irreplaceable needs, WNCS has exploited different wireless communication paradigms including IPv6 Routing Protocol for Low Power Lossy Networks (RPL) based WSN that enables reliable communication across the industrial setup to make optimal real-time process decision. However, being dynamic in nature WNCS with often undergo link-outage due to dynamic topology, node death, congestion etc. Though, a few researchers have addressed the routing problem in WNCS; however, integrating RPL with mobility to enable optimal communication has remained untouched. Additionally, no significant research addressed fault-resilient routing decision over WNCS setup, which motivates us to develop a highly robust Fault-Tolerant and Reliable mobile-RPL Routing Protocol for W-NCS (FTmRP-NCS). Unlike classical WNCS models, FTmRP-NCS employs dual objective-based routing decision by considering the Received Signal Strength Indicator (RSSI) and the number of control packets required (ETX). Here, the inclusion of RSSI ensures forwarding path formation with most reliable link condition, while ETX objective function helps maintaining low control packets and hence low energy exhaustion, low redundancy and high efficiency. FTmRP-NCS applies link-sensitive mobile node movement for data gathering across WNCS, which makes overall communication more reliable as well as time-efficient. Furthermore, fault-sensitive routing decision strengthens our proposed FTmRP-NCS protocol helps WNCS to yield optimal performance. FTmRP-NCS has been applied over standard IEEE 802.15.4 protocol stack and functions in parallel to the link and network layer, which retains backward compatibility with native RPL and hence assures easy implementation with real-time WNCS environment.

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WiNC – Advanced Experimentation Platform for Wireless Networked Control

Cited by 7 publications

References 3 publications

Fault‐tolerant control for wireless networked control systems with an integrated scheduler

Fault‐tolerant control for wireless networked control systems with an integrated scheduler

Quadratic Optimal Fault Tolerant Control on Wireless Networked Control Systems for Real‐Time Industrial Applications

FTmRP-NCS: Fault-Tolerant And Reliable mRPL Routing Protocol For W-NCS Communication

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