SELF-GENERATION OF FUZZY LOGIC CONTROLLER BY MEANS OF GENETIC ALGORITHM

Abstract

Ever since its first development, Fuzzy Logic Controllers have been popular among the practitioner due to its robustness, interpretability, and especially its ability to handle the imprecision. Many constructions of these controllers are still heavily dependent on the presence of experts’ knowledge. This drawback has been investigated by many researchers, resulting in several methods integrated into the construction of fuzzy logic controller. This final project is another attempt of the author to present a method to generate fuzzy logic controller with the minimum involvement of experts by integrating Genetic Algorithm into the design process. A series of simulations using different models are also conducted to test the method.