Comparing fuzzy logic and backstepping control for a buck boost converter in electric vehicles

Elmehdi Ennajih, Hakim Allali, Ezzitouni Jarmouni, Ilias Ennaoui


Significant advances have been made in the control of DC/DC converters, owing to the effective combination of linear and nonlinear approaches. The above-mentioned approaches have greatly improved the efficiency as well as stability of the converter, even when faced with changing conditions. Nevertheless, the emergence of artificial intelligence has introduced new perspectives in the domain. The objective of the article is to examine two separate methodologies for controlling a boost-buck converter: using a nonlinear approach, especially backstepping, and utilizing artificial intelligence through fuzzy logic. The main aim of this work is to illustrate the inherent stability and robustness of fuzzy logic controllers compared to backstepping control in managing effectively various variations and challenges encountered in converter control.


artificial intelligence; backstepping controller; buck-boost converter; electric vehicles; fuzzy logic controller; power electronic

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