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Hybrid model predictive control based on wireless sensor feedback: an experimental study

Bemporad, Alberto and Di Cairano, Stefano and Henriksson, Erik and Johansson, Karl Henrik Hybrid model predictive control based on wireless sensor feedback: an experimental study. In: Decision and Control. IEEE, 12th-14th December 2007, 5062-5067 . ISBN 978-1-4244-1497-0 (2007)

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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.

Item Type: Book Section
Identification Number: 10.1109/CDC.2007.4434918
Uncontrolled Keywords: discrete-time hybrid model; hybrid dynamical process; hybrid model predictive control; remote station controls; stationary heat spatial distribution; wireless network links; wireless sensor feedback; wireless sensor network; discrete time systems; feedback; predictive control; telecontrol; wireless sensor networks
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Research Area: Computer Science and Applications
Depositing User: Professor Alberto Bemporad
Date Deposited: 27 Jul 2011 08:39
Last Modified: 04 Aug 2011 07:29
URI: http://eprints.imtlucca.it/id/eprint/520

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