Drive-by-Wi-Fi: testing 1 kHz control experiments over wireless

Branz, Francesco; Pezzutto, Matthias; Oboe, Roberto; Tramarin, Federico; Schenato, Luca

doi:10.23919/ecc.2019.8795706

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…The proposed algorithm can be further generalized to include multi-agent systems, and possible applications are collaborative robotics, building maintenance, and formation control of swarm of autonomous systems. The next step, starting from the implementation presented in Branz, Pezzutto, Antonello, Tramarin and Schenato (2019), is to experimentally validate the proposed algorithm. λ (P) and using the definitions given in Section 2, under the key assumption that R is independent of the sampling period.…”

Section: Discussionmentioning

confidence: 99%

Adaptive transmission rate for LQG control over Wi-Fi: A cross-layer approach

et al. 2020

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Section: Discussionmentioning

confidence: 99%

Adaptive transmission rate for LQG control over Wi-Fi: A cross-layer approach

et al. 2020

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“…In the last years, Wi-Fi was also revealed to be promising to be applied in factory automation as, compared with the IEEE 802.15.4 solutions, it gives the possibility to cope with the timing requirements of the modern control systems and to perform a useful Rate Adaptation activity [136]. Indeed, for example, authors of [137] underlined the necessity of a minimum control frequency of 1 kHz for some specific application, not achievable by wirelessHART since it is characterized by a time slot of at least 10 ms. How to adapt emergent wireless technologies, such as 5G and Wi-Fi, to the strict requirements of the factory automation is an open research field [138][139][140][141], together with recent works concerning industrial LoRa networks [142]. Some works suggest the usage of hybrid wired/wireless networks, integrating ethernet TSN networks with both Wi-Fi [52] and 5G [143].…”

Section: Tsn Over Wi-fimentioning

confidence: 99%

A Comprehensive Review on Time Sensitive Networks with a Special Focus on Its Applicability to Industrial Smart and Distributed Measurement Systems

Fedullo

Morato

Tramarin

et al. 2022

Sensors

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The groundbreaking transformations triggered by the Industry 4.0 paradigm have dramatically reshaped the requirements for control and communication systems within the factory systems of the future. The aforementioned technological revolution strongly affects industrial smart and distributed measurement systems as well, pointing to ever more integrated and intelligent equipment devoted to derive accurate measurements. Moreover, as factory automation uses ever wider and complex smart distributed measurement systems, the well-known Internet of Things (IoT) paradigm finds its viability also in the industrial context, namely Industrial IoT (IIoT). In this context, communication networks and protocols play a key role, directly impacting on the measurement accuracy, causality, reliability and safety. The requirements coming both from Industry 4.0 and the IIoT, such as the coexistence of time-sensitive and best effort traffic, the need for enhanced horizontal and vertical integration, and interoperability between Information Technology (IT) and Operational Technology (OT), fostered the development of enhanced communication subsystems. Indeed, established technologies, such as Ethernet and Wi-Fi, widespread in the consumer and office fields, are intrinsically non-deterministic and unable to support critical traffic. In the last years, the IEEE 802.1 Working Group defined an extensive set of standards, comprehensively known as Time Sensitive Networking (TSN), aiming at reshaping the Ethernet standard to support for time-, mission- and safety-critical traffic. In this paper, a comprehensive overview of the TSN Working Group standardization activity is provided, while contextualizing TSN within the complex existing industrial technological panorama, particularly focusing on industrial distributed measurement systems. In particular, this paper has to be considered a technical review of the most important features of TSN, while underlining its applicability to the measurement field. Furthermore, the adoption of TSN within the Wi-Fi technology is addressed in the last part of the survey, since wireless communication represents an appealing opportunity in the industrial measurement context. In this respect, a test case is presented, to point out the need for wirelessly connected sensors networks. In particular, by reviewing some literature contributions it has been possible to show how wireless technologies offer the flexibility necessary to support advanced mobile IIoT applications.

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“…In Branz et al (2019b), the authors connected the sensor and the control unit through a Wi-Fi network (feedback path), while the controller and the actuator (forward path) were connected by a standard quasi-ideal point-to-point link, practically realized through an Ethernet connection. The proposed solution was the adoption of the optimal estimator described by Schenato (2008) integrated with the optimal infinite-horizon regulator.…”

Section: Introductionmentioning

confidence: 99%