粒子モデル予測制御による鋼板温度のばらつき制御

大角 洸平; 大塚 敏之; 平田 光男; 塩谷 政典

doi:10.2355/tetsutohagane.99.275

論文

粒子モデル予測制御による鋼板温度のばらつき制御

著者情報

キーワード: model predictive control, nonlinear systems, dispersion control, probability density function, Monte Carlo method, steel cooling

ジャーナルオープンアクセス HTML

2013 年 99 巻 4 号 p. 275-282

DOI https://doi.org/10.2355/tetsutohagane.99.275

詳細

抄録

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.

責任著者(Corresponding author)

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