سال انتشار: ۱۳۸۶

محل انتشار: پنجمین کنگره بین المللی مهندسی شیمی

تعداد صفحات: ۷

نویسنده(ها):

Zahedi – Simulation and AI Research Center, Department of Chemical Engineering, Faculty of Engineering, Razi University, Kermanshah, Iran
Saba – Simulation and AI Research Center, Department of Chemical Engineering, Faculty of Engineering, Razi University, Kermanshah, Iran

چکیده:

This study focuses on the fuzzy control of a beer fermentation reactor temperature. Because of some inherent loads in the system, PI control provides fruitless results. Bacteria’s activity varies fast with oscillation of temperature, so in order to accurate, better control of this reactor and use of natural language with no need to the exact modeling of system, fuzzy policy was applied on it. The Mamadani inference system applied to correlate input data to out put data.