Parametric Identification of an Induction Motor Based on a Phase-Locked-Loop Frequency Control Algorithm

Solodkii, E. M.; Даденков, Д. А.; Kostygov, A. M.

doi:10.3103/s106837121811010x

Cited by 8 publications

(2 citation statements)

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“…Рассмотренный метод реализован при идентификации механических параметров системы управления следящими электроприводами. При реализации метода достигается требуемая точность идентификации параметров, что определяет возможность его практического использования для решения задачи статистической идентификации специальных технических устройств [13], [14].…”

Section: результаты (Results)unclassified

Method for Identification of Tracking Electric Drives Mechanical Parameters

Lakhmenev¹,

Saushev²

2021

Vestnik GUMRF imeni admirala S. O. Makarova

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The problem of identifying the parameters of electromechanical systems has long been relevant and in demand for practice. For the most part, the well-known approaches to identifying the parameters of electromechanical systems under study are based on the use of linear models that are not suitable for most systems with nonlinearities. In the case of a servo drive, non-linearity and some uncertainty occur in the mechanical part of the drive, due to the presence of friction, elasticity and backlash. In this regard, many different methods and algorithms for identifying mechanical parameters have been developed for servo drives, which include nonlinear least squares estimation, the finite element method, and methods based on spectral analysis. A method for determining the moment of inertia and the coefficient of viscous friction for servo drives, based on the use of the dynamic equation of the mechanical drive system, is discussed in the paper. The torque and the actual rotational speed of the machine are used as input information. Accurate identification of the mechanical parameters of an electric drive is essential for the synthesis of its control system. The developed method is resistant to external influences, such as measurement error, mechanical resonance of the drive system. The revealed parameters can be used for autotuning the gains in the speed controller, which will provide high performance control of the drive speed. The effectiveness of the proposed method is confirmed by computer simulation and experimental data.

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Section: результаты (Results)unclassified

Method for Identification of Tracking Electric Drives Mechanical Parameters

Lakhmenev¹,

Saushev²

2021

Vestnik GUMRF imeni admirala S. O. Makarova

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“…The IM equivalent circuit is used to research transient and steady-state operating modes, and the given equivalent circuit parameters can be used when adjusting the control system regulators. In many sources [30][31][32], when synthesizing current and speed regulators of the vector control model, the IM Г-shaped equivalent circuit parameters are used (Figure 2). Dynamic equilibrium for the Г-shaped equivalent circuit is represented by the stator and rotor equations in vector form reduced to a stationary stator:…”

Section: A the Sem Mathematical And Imitation Modelmentioning

confidence: 99%

Software Complex for Sensorless Control of an Electrical Submersible Pump

Iudin,

Petrochenkov,

Solodkiy

et al. 2024

IEEE Sensors J.

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The article describes design principles of sensorless observing and control system of electrical submersible pump's induction motor based on dynamic state estimation using unscented Kalman filter. The artificial lift method with electrical submersible pumps in the oil industry is associated with measurements of technological parameters from which oil fluid flow rate is one of the most important. To develop sensorless control and parameters observing system the design principles of flow rate observers were proposed. The main possible scenarios for flow rate observation are considered, including those using surface-mounted sensors. The article also considers issues relating to the limitations in flow rate observation by usage pump catalog characteristics, involving control electric drive test signals changing the pump rotational speed. Overcoming these problems is proposed to the electrical submersible pump's flow rate observing system based on a machine learning model. The simulation results using a complex electrical submersible pump model confirming the efficiency of the proposed methods are provided.

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