Development and implementation of Fuzzy Logic Controller for Flow Control Application

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 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.