Design of a fuzzy controller for a membrane gas separation process control system

Abstract

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.

Review on PID, fuzzy and hybrid fuzzy PID controllers for controlling non-linear dynamic behaviour of chemical plants

“…It does not provide quality control and high delay when the system is unstable. In order to overcome those drawbacks, Koldaev et al (Koldaev et al 2020) proposed a fuzzy logic controller (FLC) based gas separation process that revealed the membrane process was adapted for separating nitrogen gas from the air. The membrane plant included air separation modules in the cylindrical tank and accepted the compressed air as input.…”