Abstract

PENAFIEL, Edwin Fernando Mejía; AUCANCELA, Alberto Leopoldo Arellano  and  VALLEJO, Geovanny. Speed control of a car using Fuzzy Systems. RCTU [online]. 2017, vol.4, n.2, pp.31-36. ISSN 1390-7697.  https://doi.org/10.26423/rctu.v4i2.270.

In recent years artificial intelligence has been increasing its level in terms of research, diffuse systems have been consolidated as a useful tool for modeling complex and non-linear systems. Artificial intelligence techniques have become a fundamental tool for addressing complex problems including the automtic control area. Unlike traditional logic that uses only two values of true or false, fuzzy logic allows defining intermediate values in an attempt to apply a mode of thinking similar to that of the human being. In this situation, the expert systems have much to do with what it means to infer knowledge, using the famous rules of inference or also known as rules of production, within the fuzzy logic will be used the method of inference of Mandani that makes use of the rules If X Then Y, if premise then conclusion. In this article we have developed a diffuse algorithm to control the speed of a car and prevent the same shock when the driver suffers any alteration of his body, the prototype collects information from its environment for decisión making, a model is presented as Prototype to follow in this case for the construction, is made an analysis of the different devices and the concepts are presented.

Keywords : Artificial Intelligence; Fuzzy Systems; Fuzzy Logic; Inference Mandani; Inference Rules; Fuzzy Algorithm.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )