Investigation of Intelligent Control System for Non-Linear Real Time Pressure Control System

The paper describes a Fuzzy Proportional Integral (PI) controller with Triangular and Gaussian membership functions for controlling pressure in real-time pressure control system having hysteresis error in the control valve. The input scaling factors of controllers are optimized offline by using Genetic Algorithm optimizing technique for minimizing Integral Time Absolute Error on estimated model at specific operating point. The National Instrument based hardware and Matlab/Simulink software have been used for meticulous and perfect pressure measurement, acquisition and control action. The simulation and experimental results of the conventional Proportional?Integral (PI) and Fuzzy PI controllers are analysed. It has been observed that Fuzzy PI controller with Gaussian membership function demonstrate superior set-point tracking performance with minimum overshoot and settling time.