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[64150] Artykuł: Replacement strategies of genetic algorithm in parametric identification of induction motorCzasopismo: 22nd International Conference on Methods and Models in Automation and Robotics (MMAR) Strony: 971-975ISBN: 978-1-5386-2402-9 Wydawca: IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA Opublikowano: Wrzesień 2017 Autorzy / Redaktorzy / Twórcy Grupa MNiSW: Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science) Punkty MNiSW: 15 Klasyfikacja Web of Science: Proceedings Paper Pełny tekst DOI Web of Science Keywords: genetic algorithm  mathematical model  parametric identification  induction motor  replacement strategies  |
The paper presents the problem of parametric identification of induction motor mathematical model with the use of genetic algorithm (GA). The influence of population replacement strategy on the identification results is analyzed. The identified parameters of the model were determined as a result of minimization of performance index defined as the mean-square error of stator current and angular velocity. The experimental investigations were performed for induction motor powered from voltage inverter. The work deals with the problem of identification, tournament selection, operators of crossover and mutation, replacement strategies and stop criterion. The steady-state genetic algorithm was analyzed with regard to convergence and accuracy of the identification process and the time of numerical calculations.