Periodic Constraint-Based Control Using Dynamic Wireless Sensor Scheduling
2011 (English)In: 2011 50th IEEE Conference on Decision and Control andEuropean Control Conference (CDC-ECC), 2011, 4789-4796 p.Conference paper (Refereed)
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.
IdentifiersURN: urn:nbn:se:kth:diva-89714ISI: 000303506205066ScopusID: 2-s2.0-84860686080OAI: oai:DiVA.org:kth-89714DiVA: diva2:503427
2011 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC) Orlando, FL, USA, December 12-15, 2011
QC 201203302012-02-152012-02-152013-04-29Bibliographically approved