Identification Of Induction Motor Parameters Using Wiener-Hammerstein Structure Based On Artificial Bee Colony Algorithm

Abstract

In this paper, identification of parameters of induction motors using the Wiener-Hemerstein structure based on the colony helix algorithm. Identifying the system is actually finding a mathematical model of dynamical systems from input-output data, the results of experiments, and observations. Given the importance of induction machines in the industry, maintaining and protecting them is essential. One of the ways to keep such engines in check is to continuously monitor their health by continuous monitoring of the values of its structural parameters. In this paper, an engine model is estimated using the extracted data from the engine, which includes the effective values of the stator current and the power factor and the application of the colony helium algorithm. The results of the simulation show the high accuracy of the proposed method in identifying the parameters of induction motors in comparison with the previous methods.