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Title: Search-based dynamic identification of induction motors
Authors: Alexander Vladimirovich Nesterovskiy, Veniamin Georgievich Kashirskikh, Valery Mihailovich Zavyalov, Irina Yuryevna Semykina
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 7
Language: English
Keywords: Induction motorsDynamic identificationSearch-based methodsElectric motor drives
An applicability of the results of search-based dynamic identification of induction motors is considered for determination of non-measurable parameters and variables, characterizing the operated motors state. Evaluation is done using the simplified model of motor. Justification of the model’s assumed simplification is given herein. Mathematical models of motor state and testing section for dynamic and static modes of operation are described. Some of the research results and their comparison with results obtained by other methods are given. Real-time information is the basis for induction motor drives improvement. It can be applied for monitoring and control of electric motor state, functional diagnosis and protection against emergency conditions. Moreover, the dynamic identification results can be used at the stage of electric motors acceptance tests with their individual data identification, as well as process quality monitoring during manufacture or maintenance procedures.
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