Abstract
Statistical mathematical models are developed for forecasting qualitative indexes of the products of atmospheric block in an atmospheric-and-vacuum distillation unit. Fuzzy logic control algorithmis proposed and analyzed for the qualitative indexes; rule database is organized on the basis of expert appraisals. A static mathematical model of the control object is created in UNISIM Design. An approach is suggested for integrating Matlab (including Simulink) and UNISIM Design. Finally, a computing experiment is conducted to assess efficiency of the control algorithm for the qualitative indexes using the mathematical model.
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Vlasov, S.S. and Shumikhin, A.G., Design of Mathematical Model of Forecasting Petroleum Quality in Atmospheric-and-vacuum Distillation Unit, Tr. konf. “Avtomatizirovannye sistemy upravleniya i informatsionnye tekhnologii” (Proc. Conf. “Automated Control Systems and Information Technology”), Perm: Gos. Tekhn. Univ., 2010.
Vlasov, S.S. and Shumikhin, A.G., Adaptation of Mathematical Model of Forecasting Petroleum Quality in Atmospheric-and-vacuum Distillation Unit, Tr. konf. “Avtomatizirovannye sistemy upravleniya i informatsionnye tekhnologii” (Proc. Conf. “Automated Control Systems and Information Technology”), Perm: Gos. Tekhn. Univ., 2010.
Leonenkov, A.V., Nechetkoe modelirovanie v srede MATLAB i fuzzyTECH (Fuzzy Modeling inMATLAB and fuzzyTECH), St. Petersburg: BKhV-Peterburg, 2005.
Raibman, N.S. and Chadeev, V.M., Adaptivnye modeli v sistemakh upravleniya (Adaptive Models in the Control Systems), Moscow: Sovetskoe Radio, 1966.
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Original Russian Text © S.S. Vlasov, A.G. Shumikhin, 2010, published in Avtomatizatsiya v Promyshlennosti, 2010, No. 9, pp. 8–15.
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Vlasov, S.S., Shumikhin, A.G. Models and algorithms for fuzzy control system of atmospheric block in atmospheric-and-vacuum distillation unit: Design and analysis. Autom Remote Control 73, 923–935 (2012). https://doi.org/10.1134/S0005117912050189
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DOI: https://doi.org/10.1134/S0005117912050189