Study of defuzzification methods of fuzzy logic controller for speed control of a DC motor

A typical fuzzy logic controller (FLC) has the following components: fuzzification; knowledge base; decision making; and defuzzification. Various defuzzification techniques have been proposed in the literature. The efficacy of a FLC depends very much on the defuzzification process. This is so because the overall performance of the system under control is determined by the controlling signal (the defuzzified output of the FLC) the system receives. The aim of this paper is to evaluate, qualitatively, the performance of the different defuzzification techniques as applied to speed control of a DC motor