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Hybrid Model Predictive Control Based on Wireless Sensor Feedback: an experimental study
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.ORCID iD: 0000-0001-9940-5929
2007 (English)In: Proceedings of the 46th IEEE Conference on Decision and Control, New Orleans, Louisiana, USA., 2007, 5062-5067 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the design and the experimental validation of model predictive control (MPC) of a hybrid dynamical process based on measurements collected by a wireless sensor network. The proposed setup is the prototype of an industrial application in which a remote station controls the process via wireless network links. The experimental platform is a laboratory process consisting of four infrared lamps, controlled in pairs by two on/off switches, and of a transport belt, where moving parts equipped with wireless sensors are heated by the lamps. By approximating the stationary heat spatial distribution as a piecewise affine function of the position along the belt, the resulting plant model is a hybrid dynamical system. The control architecture is based on the reference governor approach: the process is actuated by a local controller, while a hybrid MPC algorithm running on a remote base station sends optimal belt velocity set-points and lamp on/off commands over a network link exploiting the information received through the wireless network. A discrete-time hybrid model of the process is used for the hybrid MPC algorithm and for the state estimator.

Place, publisher, year, edition, pages
New Orleans, Louisiana, USA., 2007. 5062-5067 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-58487Scopus ID: 2-s2.0-62749205480OAI: oai:DiVA.org:kth-58487DiVA: diva2:473150
Conference
46th IEEE Conference on Decision and Control, 12-14 Dec 2007
Note
QC 20120112Available from: 2012-01-05 Created: 2012-01-05 Last updated: 2012-01-16Bibliographically approved

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Scopushttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04434918

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Johansson, Karl H.

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CiteExportLink to record
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