Modeling of flux linkage identifier, velocity and parameters of an induction motor based on a system of difference equations

The article uses structural computer modeling to study the digital method for constructing an identifier of the state and parameters of the equivalent circuit of an induction motor. The method is based on the use of difference equations of electric equilibrium of the motor instead of differential equations. In the identification process, the state of the motor is understood as an assessment in dynamics of the rotor flux linkage components and the shaft rotation speed. The use of a flux linkage identifier is caused by the difficulties of direct measurement of the magnetic field components. In practice, signals of electrical variables and speed are used for this purpose, and the difficulties of constructing an identifier consist only in the formation of the initial conditions of flux linkage. If the speed sensor must be excluded from the design scheme of the electric drive, a completely sensorless version is implemented. In this case, the speed estimate is affected by changes in the parameters of the equivalent circuit of the machine due to heating of the windings and the effect of current displacement. The use of simulation modeling tools in MatLab made it possible to analyze the details of the flux linkage identifier implementation in three variants of combinations of input signals available for assessment. The errors arising in the identification process are analyzed. The necessity of using a low-pass filter with a small time constant at the identifier output for compensation of high-frequency components of the modulated voltage feeding the induction motor from the inverter is revealed. The speed identifier variant is simulated on difference equations taking into account the drift of the equivalent circuit parameters. The results are compared with the identification method based on the application of differential equations and sliding modes. The considered approaches to the construction of a system for estimating the parameters and state of the motor can be used in information systems when designing identifiers in a sensorless induction electric drive.

Authors

Publication Details

Journal
Journal Of Applied Informatics
Published
2025-06-27
DOI
https://doi.org/10.37791/2687-0649-2025-20-3-125-143
Primary Topic
Electric Power Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling of flux linkage identifier, velocity and parameters of an induction motor based on a system of difference equations

Nikolai N. Prokimnov, В. В. Федотов, Swiatoslaw Trofimenko, V. V. Rozhkov
Journal Of Applied Informatics
Electric Power Systems and Control
article

Modeling of flux linkage identifier, velocity and parameters of an induction motor based on a system of difference equations

Nikolai N. Prokimnov, В. В. Федотов, Swiatoslaw Trofimenko, V. V. Rozhkov
article en

Abstract

The article uses structural computer modeling to study the digital method for constructing an identifier of the state and parameters of the equivalent circuit of an induction motor. The method is based on the use of difference equations of electric equilibrium of the motor instead of differential equations. In the identification process, the state of the motor is understood as an assessment in dynamics of the rotor flux linkage components and the shaft rotation speed. The use of a flux linkage identifier is caused by the difficulties of direct measurement of the magnetic field components. In practice, signals of electrical variables and speed are used for this purpose, and the difficulties of constructing an identifier consist only in the formation of the initial conditions of flux linkage. If the speed sensor must be excluded from the design scheme of the electric drive, a completely sensorless version is implemented. In this case, the speed estimate is affected by changes in the parameters of the equivalent circuit of the machine due to heating of the windings and the effect of current displacement. The use of simulation modeling tools in MatLab made it possible to analyze the details of the flux linkage identifier implementation in three variants of combinations of input signals available for assessment. The errors arising in the identification process are analyzed. The necessity of using a low-pass filter with a small time constant at the identifier output for compensation of high-frequency components of the modulated voltage feeding the induction motor from the inverter is revealed. The speed identifier variant is simulated on difference equations taking into account the drift of the equivalent circuit parameters. The results are compared with the identification method based on the application of differential equations and sliding modes. The considered approaches to the construction of a system for estimating the parameters and state of the motor can be used in information systems when designing identifiers in a sensorless induction electric drive.

Journal Of Applied InformaticsVol. 20(3)
Openalex Percentile: Top 76%
Electric Power Systems and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.