TY  - CHAP
AV  - none
SN  - 978-1-4244-1497-0 
ID  - eprints520
EP  - 5067 
SP  - 5062
TI  - Hybrid model predictive control based on wireless sensor feedback: an experimental study
N2  - 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.
A1  - Bemporad, Alberto
A1  - Di Cairano, Stefano
A1  - Henriksson, Erik
A1  - Johansson, Karl Henrik
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4434918&isnumber=4434000
Y1  - 2007///
PB  - IEEE
CY  - 12th-14th December 2007
T2  - Decision and Control
KW  - 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
ER  -