%0 Journal Article
%T The generating new individuals of the population in the parametric identification of the induction motor problem with the use of the genetic algorithm
%A Rutczyńska-Wdowiak, Katarzyna
%J Technical Transactions
%V 2019
%R 10.4467/2353737XCT.19.025.10161
%N Volume 2 Year 2019 (116)
%P 109-118
%K identification, mathematical model, induction motor, genetic algorithm, crossover
%@ 0011-4561
%D 2019
%U 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
%X 
	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.