New hybrid model reference adaptive supervisory fuzzy logic controller for shell-and-tube heat exchanger temperature system

The control of the outlet temperature of a co-current shell-and-tube heat exchanger with the new hybrid model reference adaptive supervisory fuzzy controller (MRASFC) is presented in this paper. The outlet temperature of the cold fluid is controlled by manipulate the flow of the hot fluid while both temperature fluids keep constant. The shell-and-tube heat exchanger system is modeled mathematically and simulated using MATLAB/Simulink software. The Fuzzy Inference Structure (FIS) used is Sugeno-type. The normalized fuzzy controller using Gaussian membership function (MF) with 3×3 rule bases while hybrid MRAFC also using Gaussian MF with 3×3 rule bases. The performances on set point test of the fuzzy logic controllers with and without hybrid design are compared to PID controller based on maximum overshoot, settling time, number of oscillations and IAE. The results showed that MRASFC produced reduced overshoot, shorter settling time with less oscillation and minimum IAE compare to fuzzy and PID controller.