Identification of the Parameters of a Three-Phase Asynchronous Motor for Intelligent Monitoring Systems

Makarov, V.; Zagirova, V.; Vagapov, G.; Grackova, L.

doi:10.2478/lpts-2022-0009

Abstract

The study presents an algorithm and a mathematical model for evaluating the parameters of the equivalent circuit of an asynchronous electric motor for intelligent monitoring systems. To identify the parameters of electric motors, a gradient descent method is used to find the minimum of a positive function. The algorithm and mathematical model were tested not only theoretically, but also in laboratory experiments. The results obtained proved that the proposed algorithm was an efficient and accurate method for estimating parameters. Computer modelling and experimental research confirmed the possibility of using the algorithm and the device for identifying parameters in the construction of control systems for a variable frequency drive with three-phase asynchronous electric motors in practice.

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Identification of the Parameters of a Three-Phase Asynchronous Motor for Intelligent Monitoring Systems

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