@article{c8bb2691-ca4a-4e0e-9365-5ccabdd6c099,
author = {Katarzyna Rutczyńska-Wdowiak},
title = {The generating new individuals of the population in the parametric identification of the induction motor problem with the use of the genetic algorithm},
journal = {Technical Transactions},
volume = {2019},
number = {Volume 2 Year 2019 (116)},
year = {2019},
issn = {0011-4561},
pages = {109-118},keywords = {identification; mathematical model; induction motor; genetic algorithm; crossover},
abstract = {This paper presents the problem of the identifying parameters for use in mathematical models of induction motors with the use of a genetic algorithm (GA). The effect of arithmetical crossover and the generation of new populations on identification results is analysed. The identified parameters of the model were determined as a result of the minimisation of the performance index defined as the mean-square error of stator current and angular velocity. The experiments were performed for the low power induction motor. The steady-state genetic algorithm with regard to convergence and accuracy of the identification process and calculation time is analysed.},
doi = {10.4467/2353737XCT.19.025.10161},
url = {https://ejournals.eu/en/journal/czasopismo-techniczne/article/the-generating-new-individuals-of-the-population-in-the-parametric-identification-of-the-induction-motor-problem-with-the-use-of-the-genetic-algorithm}
}