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Periodic Constraint-Based Control Using Dynamic Wireless Sensor Scheduling
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2011 (English)In: 2011 50th IEEE Conference on Decision and Control andEuropean Control Conference (CDC-ECC), 2011, 4789-4796 p.Conference paper, Published paper (Refereed)
Abstract [en]

Constraint-based control over wireless sensor networks(WSNs) require control strategies that achieve a desiredclosed-loop system performance while using minimal networkresources. In addition to constraints associated with distributedcontrol, WSNs have limitations on bandwidth, energy consumption,and transmission range. This paper introduces andexperimentally evaluates a new receding-horizon approach forperforming constraint-based control using a WSN. By leveragingthe system controllability, the receding-horizon controller isformulated as a mixed-integer programming problem which, ateach time step, simultaneously generates a control sequence andsensor selection schedule such that the desired performance isachieved while minimizing the energy required to perform dataacquisition and control. For systems containing many sensors,a multi-step state estimator is employed to implement thereceding-horizon controller using a conservative abstractionrelaxationapproach that simplifies the original mixed-integerprogramming problem into a convex quadratic programmingproblem. A wireless process control test bed consisting of8 coupled water tanks and 16 wireless sensors are used toexperimentally evaluate the receding-horizon controller.

Place, publisher, year, edition, pages
2011. 4789-4796 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-89714ISI: 000303506205066Scopus ID: 2-s2.0-84860686080OAI: oai:DiVA.org:kth-89714DiVA: diva2:503427
Conference
2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011
Note

QC 20120330

Available from: 2012-02-15 Created: 2012-02-15 Last updated: 2013-04-29Bibliographically approved

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CiteExportLink to record
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  • apa
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