Emulation-based stabilisation of networked control systems over WirelessHART

Maass, Alejandro I.; Nešić, Dragan; Dower, Peter M.; Varma, Vineeth S.

doi:10.1109/cdc.2017.8264657

Cited by 11 publications

(21 citation statements)

References 16 publications

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“…However, there are other approaches that use wireless and wired signals. The data that flow between sensor nodes and controllers are not necessarily symmetric in WNCSs [ 7 , 8 , 9 ].…”

Section: Related Workmentioning

confidence: 99%

ISA 100.11a Networked Control System Based on Link Stability

Florencio

Neto

Martins

2020

Sensors

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Wireless networked control systems (WNCSs) must ensure that control systems are stable, robust and capable of minimizing the effects of disturbances. Due to the need for a stable and secure WNCS, critical wireless network variables must be taken into account in the design. As wireless networks are composed of several links, factors that indicate the performances of these links can be used to evaluate the communication system in the WNCS. This work presents a wireless network control system composed of ISA 100.11a sensors, a network manager, a controller and a wired actuator. The system controls the liquid level in the tank of the coupled tank system. In order to assess the influence of the sensor link failure on the control loop, the controller calculates the link stability and chooses an alternative link in case of instability in the current link. Preliminary tests of WNCS performance were performed to determine the minimum stability value of the link that generates an error in the control loop. Finally, the tests of the control system based on link stability obtained excellent results. Even with disturbances in the network links, the control system error remained below the threshold.

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“…However, there are other approaches that use wireless and wired signals. The data that flow between sensor nodes and controllers are not necessarily symmetric in WNCSs [ 7 , 8 , 9 ].…”

Section: Related Workmentioning

confidence: 99%

ISA 100.11a Networked Control System Based on Link Stability

Florencio

Neto

Martins

2020

Sensors

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“…2, in which the generic network of Fig. 1 has been replaced by a WH network (we refer the reader to [10], [24], [25] for a better understanding of WH and its features). We consider y ∈ Z ≥0 field devices interconnected in the ypath and u ∈ Z ≥0 in the u-path.…”

Section: A Wh-ncs Modelmentioning

confidence: 99%

“…scheduling of field devices in the communication frame. We next provide only one of the many scheduling protocols that can be implemented on WH , see [10], [25], [28] for more protocols. Example 2:…”

Section: A Wh-ncs Modelmentioning

confidence: 99%

Observer Design for Nonlinear Networked Control Systems With Persistently Exciting Protocols

Maass

Nešić

Dower

2020

IEEE Trans. Automat. Contr.

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We study the design of state observers for nonlinear networked control systems (NCSs) affected by disturbances and measurement noise, via an emulation-like approach. That is, given an observer designed with a specific stability property in the absence of communication constraints, we implement it over a network and we provide sufficient conditions on the latter to preserve the stability property of the observer. In particular, we provide a bound on the maximum allowable transmission interval (MATI) that guarantees an input-to-state stability (ISS) property for the corresponding estimation error system. The stability analysis is trajectory-based, utilises small-gain arguments, and exploits a persistently exciting (PE) property of the scheduling protocols. This property is key in our analysis and allows us to obtain significantly larger MATI bounds in comparison to the ones found in the literature. Our results hold for a general class of NCSs, however, we show that these results are also applicable to NCSs implemented over a specific physical network called WirelessHART (WH). The latter is mainly characterised by its multi-hop structure, slotted communication cycles, and the possibility to simultaneously transmit over different frequencies. We show that our results can be further improved by taking into account the intrinsic structure of the WH-NCS model. That is, we explicitly exploit the model structure in our analysis to obtain an even tighter MATI bound that guarantees the same ISS property for the estimation error system. Finally, to illustrate our results, we present analysis and numerical simulations for a class of Lipschitz non-linear systems and high-gain observers.

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“…linear and discrete-time plant/observer, and equidistant transmissions). To the best of our knowledge, existing results concerning WH include optimal link scheduling [4], [5], controllercommunications co-design [6], [7], modelling and analysis [8], [9], stabilisation [10], [11], and estimation [3].…”

Section: Introductionmentioning

confidence: 99%

“…We model the overall NCS as a hybrid system, in the formalism of [15], that captures inter-sampling behaviour, time-varying transmissions, field device dynamics, and nonlinear plant and observer. In [11], the same formalism was used to obtain a model of an NCS over WH in the context of stabilisation. Under the observer design setup, and as our second contribution, we consider plants with perturbed dynamics and noisy measurements, which are more general and induce additional technical difficulties compared with [11].…”

Section: Introductionmentioning

confidence: 99%

Observer design for networked control systems implemented over WirelessHART

Maass

Nešić

Dower

2018

2018 IEEE Conference on Decision and Control (CDC)

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We study the design of state observers for nonlinear networked control systems (NCSs) that are implemented over WirelessHART (WH). WH is a wireless communication protocol for process automation applications. It is characterised by its multi-hop structure, slotted communication cycles, and simultaneous transmission over different frequencies. We present a solution based on the emulation approach. That is, given an observer designed with a specific stability property in the absence of communication constraints, we implement it over a WH network and we provide sufficient conditions on the latter, to preserve the stability property of the observer. In particular, we provide explicit bounds on the maximum allowable transmission interval. We assume that the plant dynamics and measurements are affected by noise and we guarantee an inputto-state stability property for the corresponding estimation error system.

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Emulation-based stabilisation of networked control systems over WirelessHART

Cited by 11 publications

References 16 publications

ISA 100.11a Networked Control System Based on Link Stability

ISA 100.11a Networked Control System Based on Link Stability

Observer Design for Nonlinear Networked Control Systems With Persistently Exciting Protocols

Observer design for networked control systems implemented over WirelessHART

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