Identification paramétrique de la machine asynchrone par la méthode de colonie d’abeille artificielle

Abstract

Bee colony optimization algorithms are increasingly being used for solving certain optimization problems. This study aims to implement an Artificial Bee Colony (ABC) algorithm for asynchronous machine identification and compare its performance with the traditional identification method The results obtained from the traditional method are improved using the ABC algorithm, considering mean squared error as the performance criterion. Tests were conducted, which demonstrated the superiority and efficiency of the ABC method in terms of minimizing this error and determining the parameters of the asynchronous machine compared to the traditional methods.