Algoritmos Genéticos para a Estimação de Parâmetros em Motores de Indução Trifásicos

Abstract

This article investigates the parameterization of three-phase induction motors, focusing on the accurate estimation of parameters - including stator and rotor resistance, mutual and leakage inductances - for developing robust control systems. The approach adopted for parameter estimation is the application of genetic algorithms. This approach allows us to go beyond the limitations of traditional experimental techniques in restricted scenarios. Varied selection, crossover, and mutation strategies are examined to increase parameterization accuracy. Such analyzes offer an important mechanism for optimizing three-phase induction motor drive systems. The results confirm the efficacy of the approach, with a maximum error of 4.39% in the estimation of motor parameters, especially in the absence of machine data, where conventional methods are insufficient.