Open AccessDesign of a fuzzy controller for a membrane gas separation process control system
Author(s) -
A.I. Koldaev,
Zh M. Koldaeva,
А. А. Евдокимов,
D. V. Boldyrev,
Irina Kuzmenko
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/873/1/012026
Subject(s) - control engineering , fuzzy logic , control theory (sociology) , pid controller , open loop controller , fuzzy control system , air separation , controller (irrigation) , control system , intelligent control , process control , separation principle , engineering , computer science , process (computing) , temperature control , control (management) , artificial intelligence , closed loop , chemistry , state observer , oxygen , biology , operating system , quantum mechanics , agronomy , physics , organic chemistry , nonlinear system , electrical engineering
The production of nitrogen from the air through membrane gas separation processes is widely used in many industries. The problem of controlling the gas separation process, it is connected with multi-loop control using the control of several variables. This article proposes an intelligent controller for matching fluctuations in pressure and airflow of the gas separator. The intelligent controller is based on a fuzzy logic algorithm. Applying fuzzy logic in the proposed solution allows you to increase the speed of the control system. The effectiveness of the proposed controller was evaluated in comparison with the PID controller. The proposed fuzzy controller can improve the accuracy of the control system of gas separation, reduce the process transient duration and increase the service life of technological equipment.