Fuzzy Modeling of DC Motors using the stimulus-response method

In this paper gives a brief review of the traditional modeling of direct current (DC) motors using the stimulus response method is made and a method is proposed to obtain an alternative model, using fuzzy logic theory. The two models capture the behavior of the DC motor in an acceptable manner. The connotation of acceptable is because some characteristics of the DC motor are disregarded, which do not have repercussions, in practical terms, as error factors in its study. The first model relates the analysis to the classical forms of control theory, through a first-order differential equation. The second model relates the analysis to the principles of generalization of necessary knowledge in reasoning and learning within the area of Artificial Intelligence where fuzzy sets and a series of if-then type rules are used. The fuzzy DC motor model is very convenient, within the control context, when using Artificial Intelligence paradigms but it not limited to this area.