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Since Lotfi A. Zadeh initiated Fuzzy Logic in 1965, many researchers proved that fuzzy logic is a profitable tool for controlling complex industrial processes. Constructing FLC (Fuzzy Logic Controllers) had received a lot of interest. Papers are made to evaluate its performance [1], [2]. Many researchers tried to get an analytical model for fuzzy controllers and to prove that its behavior looks like a nonlinear PD controller, or a nonlinear PI controller as discussed in [3]. Nowadays, fuzzy has become a keyword for marketing. So we must differentiate when we should use fuzzy logic and when we don't need it. Fuzzy proved itself in nonlinear processes and multi-model processes. Is fuzzy adequate for linear processes? Is it a robust controller against process variation? We try to answer these questions by building a real time fuzzy logic PD-like or PI-like controller with an online and offline monitoring features.

PROPOSED TUNING TIPS FOR FUZZY CONTROLLERS USING OFFLINE AND ONLINE EXPERIMENTAL AIDS