Abstract
It is shown that the changeover from the typical algorithms commonly used to control the process parameters of power facilities to typical predictive algorithms makes it possible to achieve essentially better quality of control and at the same time to use the possibilities offered by microprocessor engineering to a fuller extent.
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References
D. Sew and A. Meyer, Modern Automatic Control Theory and Its Application (Mashinostroenie, Moscow, 1972) [in Russian].
G. A. Pikina, D. N. Kocharovskii, and V. V. Karandaev, “One Method for Improving the Quality of Real Automatic Systems Equipped with Typical Controllers,” Novoe v Ross. Elektroenerg., No. 7, 23–27 (2009).
G. A. Pikina and M. S. Kuznetsov, “Synthesis of Linear Predictive Control Algorithms,” Novoe v Ross. Elektroenerg., No. 10, 40–44 (2009).
G. A. Pikina, Methodological Principles of Constructing Analytical Models of Thermal Power Processes, Doctoral Dissertation in Technical Sciences (Moscow, 2007).
V. Ya. Rotach, Automatic Control Theory: a Handbook for Higher Schools (MEI, Moscow, 2004) [in Russian].
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Original Russian Text © G.A. Pikina, M.S. Kuznetsov, 2011, published in Teploenergetika.
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Pikina, G.A., Kuznetsov, M.S. Typical predictive control algorithms. Therm. Eng. 58, 336–341 (2011). https://doi.org/10.1134/S0040601511040100
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DOI: https://doi.org/10.1134/S0040601511040100