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Distributed Contention Resolution in Broadcast Control Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0001-6682-6559
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.ORCID iD: 0000-0001-9940-5929
2018 (English)In: 2018 IEEE Conference on Decision and Control (CDC), Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1738-1744, article id 8619779Conference paper, Published paper (Refereed)
Abstract [en]

The flexibility of a control system can be improved by closing the loop over a wireless network. In these systems, however, the controller is generally assigned to the plant a priori. In this paper, a novel distributed control architecture called the broadcast control system is introduced. In this system the plant broadcasts its state to multiple controllers, where each controller makes a local decision to send back the control input. This allows the plant to use different controllers while moving. Moreover, the control performance can be optimized by exploiting the diversity of the wireless links. A contention resolution phase is introduced, which dynamically assigns a controller to the plant at runtime based on the wireless link quality. The coordinate descent algorithm is proposed as an effective way to optimize the thresholds of the contention resolution phase. The subproblem structure of the objective function is used to prove the convergence of the optimization algorithm. Numerical results show that the control performance can be increased by adding more controllers to the system, which is particularly effective when the link quality is poor.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. p. 1738-1744, article id 8619779
Series
IEEE Conference on Decision and Control, ISSN 0743-1546
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-245108DOI: 10.1109/CDC.2018.8619779ISI: 000458114801102Scopus ID: 2-s2.0-85062184190ISBN: 978-1-5386-1395-5 (print)OAI: oai:DiVA.org:kth-245108DiVA, id: diva2:1294295
Conference
57th IEEE Conference on Decision and Control, CDC 2018; Centre of the Fontainebleau in Miami Beach Miami; United States; 17 December 2018 through 19 December 2018
Note

QC 20190307

Available from: 2019-03-07 Created: 2019-03-07 Last updated: 2019-11-14Bibliographically approved

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van Dooren, DirkGross, James

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