Real-time implementation and performance analysis of an intelligent fuzzy logic controller for level process

Abstract

This paper presents a new robust Fuzzy logic controller that extends the concepts of advanced process control in new directions by performing servo-tracking and disturbance rejection simultaneously. An attempt has been made to analyze the efficiency of an intelligent fuzzy controller (IFLC) on Continuous Stirred Tank Reactor (CSTR) Level loop. Analysis of the effects studied through computer simulation using Matlab/Simulink toolbox. Here the conventional PID controller parameters are designed based on Ziegler-Nicholas method and its servo & regulatory responses are compared with Fuzzy logic controller based on mamdani model. The real time implementation of the process is designed and implemented in LabVIEW using Data Acquisition Module. It is observed from the results of Fuzzy Logic controller performs in no overshoot, faster settling time, better set point tracking and produces lower performances indices like Integral square error (ISE).