An experimental comparison of fuzzy, neuro and classical control techniques

Neural, fuzzy logic and classical (PI) control techniques were compared based on an experimental application in this study. Experimental studies were implemented on a water temperature control system. The control techniques were compared through experimental studies under identical conditions with respect to set-point regulation and load disturbance regulation in real time. It was found that the fuzzy logic control technique demonstrated better performance than the others and offered some advantages. This paper gives an idea that superiority of control techniques of neural and fuzzy logic is related to structure of system and design experience.