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wo-level fuzzy adaptive regulation of dynamic objects

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Kimyoviy texnologiya. Nazorat va boshqaruv

Kimyoviy texnologiya. Nazorat va boshqaruv

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ARTICLE ANNOTATION

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The questions of constructing and tuning adaptive fuzzy PID-controllers that are widely used in automatic control systems of technological processes in various industries are considered. The method of fuzzy adaption of regulator settings, taking into account the nonlinear properties of the object, is proposed. The optimal values of the PID controller parameters and fuzzy adaptation factor coefficients are determined, which ensure the required quality of the transient process in a closed system with a fuzzy adaptive regulator

AUTHORS

I.Sidiqov

ТГТУ

B.Shomirzaev

ТГТУ

Tags

# pressure# давление# босим# переходный процесс# қатъиймас таъминловчи ПИД-ростла# ночизиқли объект# қатъиймас мослаштириш блоки# ростлагич параметрлари# ростлаш сифати# ўтиш жараѐни# паст ҳароратли сепарациялаш (ПҲС# магистрал ўтказиш қувури# нечеткий ПИД-регулятор# нелинейный объект# блок нечеткой адаптации# параметры регулятора# качество регулирования# НТС# магистральный трубопровод# fuzzy PID controller# nonlinear object# block of fuzzy adaptation# regulator parameters# regulation quality# transient process# NTS# main pipeline

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Article Identifiers

ROI:

https://eroi.uz/11.0008/A0120-0045

DOI:

Not Available

References

1. Jin J., Huang H., Sun J., Pang Y. Study on Fuzzy Self-Adaptive PID Control System of Biomass Boiler Drum Water // Journal of Sustainable Bioenergy Systems. – 2013. – V. 3. – P.93-98. 2. Kudinov YU.I., Kelina A.YU. Uprosch'enny'y metod opredeleniya parametrov nechetkih PIDregulyatorov // Mehatronika, avtomatizaciya, upravlenie. - 2013. - № 1. - S.12-22. 3. YUsupbekov N. R., Aliev R. A., Aliev R. R., YUsupbekov A. N. Intellektual'ny'e siste-my' upravleniya i prinyatiya resheniy. Tashkent: Gosudarstvennoe nauchnoe izdatel'stvo «Uzbek-skaya nacional'naya e`nciklopediya» 2014.-490s. 4. Pashchenko F.F., Pashchenko A.F., Durgaryan I.S., Kudinov Y.I., Kelina A.Y. On Neuro-Fuzzy Prediction in Matlab // IEEE (ICEA).10-th Conference Industrial Electronics and Applications. – Auckland, New Zeland. – 2015. – P.1539-1542.