To increase the robustness of the automation system for the treatment unit for removing chromium from waste water of fur enterprises, a fuzzy controller has been developed that simultaneously controls two actuators with a coordinated analysis of input variables using the rule base system. Fuzzy modeling is performed in the MatLab Fuzzy Logic Toolbox environment, which allows to simulate and edit fuzzy control systems with fuzzy logic and compile a program for a microcontroller in FCL language.
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D. A. Krivoshein, Engineering Protection of Surface Waters from Industrial Effluents [in Russian], textbook, Vysshaya Shkola, Moscow (2008) 344 p.
Yu. M. Laskov, T. G. Fedorovskaya, and G. N. Zhmakov, Wastewater Treatment of Leather and Fur Industries [in Russian], Legkaya i Pishchevaya Promyshlennost’, Moscow (1984) 166 p.
A. V. Leonenkov, Fuzzy Modeling in MatLab and FuzzyTECH Environments [in Russian], BKhV-Peterburg, St. Petersburg (2005) 352 p.
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Translated from Khimicheskie Volokna, No. 4, pp. 61 – 63, July – August, 2019.
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Sigacheva, V.V. A Robust System for Process Control of the Treatment of Waste Water Containing Chromium. Fibre Chem 51, 279–282 (2019). https://doi.org/10.1007/s10692-020-10095-9
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DOI: https://doi.org/10.1007/s10692-020-10095-9