Dispersion Control of Steel Plate Temperature by Particle Model Predictive Control

Dispersion Control of Steel Plate Temperature by Particle Model Predictive Control

In this paper, a control problem of temperature dispersion in steel cooling is formulated as model predictive control (MPC) of a probability density function (PDF). The input of MPC is optimized for dynamics of the PDF approximated by the Monte Carlo method, which is called particle MPC (PMPC). Simu...

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Veröffentlicht in:Tetsu to hagane 2013, Vol.99(4), pp.275-282
Hauptverfasser: Ohsumi, Kohei, Ohtsuka, Toshiyuki, Hirata, Mitsuo, Shioya, Masanori
Format: Artikel
Sprache:eng ; jpn
Schlagworte:
dispersion control
model predictive control
Monte Carlo method
nonlinear systems
probability density function
steel cooling
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Zusammenfassung:In this paper, a control problem of temperature dispersion in steel cooling is formulated as model predictive control (MPC) of a probability density function (PDF). The input of MPC is optimized for dynamics of the PDF approximated by the Monte Carlo method, which is called particle MPC (PMPC). Simulation results of PMPC are presented to show the potential effectiveness of dispersion control.
ISSN:0021-1575
1883-2954
DOI:10.2355/tetsutohagane.99.275