Implementation of Fuzzy Logic Based Temperature-Controlled Heat Exchanger
This paper discusses the performance analysis of a heat exchanger using simulations for an Adaptive Network based Fuzzy Inference System toolbox developed with MATLAB. The plant transfer function is derived based on process reaction curve obtained from a heat exchanger pilot plant and then the model is used to represent the heat exchanger throughout the analysis. This research then compares the control performance of PID (Proportional Integral and Derivative) and Fuzzy logic controllers. Conclusions are made based on these control performances. The results show that the control performance for a Fuzzy controller is quite similar to PID controller but comparatively gives a better response.