Development and implementation of fuzzy logic controller for flow control application

Pathmanathan, E. and Ibrahim, R. (2010) Development and implementation of fuzzy logic controller for flow control application. In: UNSPECIFIED.

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Abstract

Flow measurement and control are essential in plant process control. This paper aims to shed some light on the Development and Implementation of Fuzzy Logic Controller for Flow Control Application. The development will be done onto the PcA SimExpert Mobile Pilot Plant SE231B-21 Flow Control and Calibration Process Unit. This mobile plant contains flow measurement instruments such as Coriolis, Vortex and Orifice Flow meters. Currently, control and tuning is done via KONICS PID Controller that is mounted on the local control panel. This project aims to develop a control strategy using a fuzzy based controller as an alternative to the existing PID controller. Some of the required tools are the USB-1208 FS Personal Measurement Device and MATLAB Control/Fuzzy Logic Toolbox. The Fuzzy Inference System (FIS) are developed using the Mamdani 4 approach. This involves designing and tuning of the membership functions, input/output rules, and the defuzzification technique. Overall, this project aims to show that a fuzzy logic controller is a good alternative to a PID controller, for flow measurement and control applications.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 13; Conference of 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:84196
Uncontrolled Keywords: Calibration process; Control applications; Control strategies; Coriolis; Defuzzifications; Flow and level control; Fuzzy inference systems; Fuzzy logic controller; Fuzzy logic controllers; Fuzzy logic toolbox; Input/output; Local control; Mamdani; Measurement and control; Measurement device; Measurement instruments; Mobile plants; Orifice flow meters; PID; PID controllers, Artificial intelligence; Controllers; Electric control equipment; Flow control; Flow measurement; Flowmeters; Fuzzy inference; Fuzzy systems; Level control; Membership functions; Pilot plants; Proportional control systems; Two term control systems, Process control
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:49
Last Modified: 09 Nov 2023 15:49
URI: https://khub.utp.edu.my/scholars/id/eprint/906

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