PMSM Identification Using Genetic Algorithm

Abstract

The paper researches the opportunity of using genetic algorithms for the parameters identification process of a permanent magnets synchronous motor under information interferences conditions. As the quality criterion of identification, the proximity of the reaction of a permanent magnets synchronous motor and the response of its dynamic model to disturbing influences is taken, namely, the motor currents and its dynamic model are compared. A genetic algorithm and its operators are considered, as well as a mathematical model of the motor and the construction of a parameter identification system. The algorithm is verified by mathematical modeling. The results of simulating the investigated algorithm are presented, confirming its effectiveness in identifying parameters under information interferences conditions. However, the considered algorithm requires significant computational and time resources.