Sintonización de controladores PID por medio de un algoritmo genético con fertilización in vitro aplicado a un convertidor multicelular

In this paper, an In Vitro Fertilization Genetic Algorithm with real coding, a stochastic optimization method theoretically supported by Mendel's laws of inheritance, Darwin's selection theory and Edward's principles of assisted reproduction are presented. The proposed algorithm is used in gain tuning of the Proportional-Integral-Derivative type controllers applied on the voltage regulation of the capacitors of a 3 cell multicellular converter. The results obtained are statistically analized by Kolmorov, Anova and Tukey's post-hoc tests. The proposed technique reports better results of the mean square error reduction than the Canonical Genetic Algorithm and the Ziegler-Nichols method.

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