About the nonparametric identification of the oxygen-converter steelmaking control system

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The paper considers the problem of the nonparametric identification of the discrete and continuous process of the basic oxygen steel melting. The identification peculiarities in conditions of parametric and nonparametric uncertainty are pointed out. The appropriateness of the nonparametric methods use in conditions of small information given a priori is emphasized. Some non-parametrical models of the process of basic oxygen steel melting are built according to the key output variables determining the metal chemical composition at turndown: carbon (C), sulfur (S), phosphorus (P) and manganese (Mn). Some results of the modeling process of the basic oxygen steel melting showed that the process is conducted in the framework of the technological order, however, it is not enough for the qualified control by the melting process.

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Discrete-continuous process identification, nonparametric regression, nonparametric identification for oxygen-converter steelmaking

Короткий адрес: https://sciup.org/148177157

IDR: 148177157

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