Abstract
This article shows one of many ways how to identify the parameters of the IM in real time. There is used the theory of genetic algorithms for IM parameters identification. The introduction describes why the problem is discussed. Next chapters show induction motor’s dynamic model and the principle and way how to implement the IM’s parameters identification. Theory of used genetic algorithm and experimental results are demonstrated in the end of this article. The conclusion describes the potential use of this method and discusses further development in the field of real time estimation of induction motor’s parameters.
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Palacky, P., Hudecek, P., Havel, A. (2013). Real-Time Estimation of Induction Motor Parameters Based on the Genetic Algorithm. In: Herrero, Á., et al. International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions. Advances in Intelligent Systems and Computing, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33018-6_41
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DOI: https://doi.org/10.1007/978-3-642-33018-6_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33017-9
Online ISBN: 978-3-642-33018-6
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