Sensorless Control of a Permanent Magnet Synchronous Motor Based on Direct Compensation in a Current Loop

The paper is devoted to the development of an original method for estimating the permanent magnet synchronous motor rotor angular position. The study considers a vector control system with tuning of the current loop to the desired transfer function with linearization and active damping. An adaptive state observer the adaptive model of which receives signals from the internal variables of the vector control system current regulator of permanent magnet synchronous motor is described. The specifics of realization of sensorless control systems are described. The results of system simulation are given.

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Publication Details

Journal
Russian Electrical Engineering
Published
2024-11-01
DOI
https://doi.org/10.3103/s106837122470113x
Primary Topic
Electric Power Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Sensorless Control of a Permanent Magnet Synchronous Motor Based on Direct Compensation in a Current Loop

Evgeniy Solodkiy, D. O. Savenko
Russian Electrical Engineering
Electric Power Systems and Control
article

Sensorless Control of a Permanent Magnet Synchronous Motor Based on Direct Compensation in a Current Loop

Evgeniy Solodkiy, D. O. Savenko
article en

Abstract

The paper is devoted to the development of an original method for estimating the permanent magnet synchronous motor rotor angular position. The study considers a vector control system with tuning of the current loop to the desired transfer function with linearization and active damping. An adaptive state observer the adaptive model of which receives signals from the internal variables of the vector control system current regulator of permanent magnet synchronous motor is described. The specifics of realization of sensorless control systems are described. The results of system simulation are given.

Russian Electrical EngineeringVol. 95(11)
Perm National Research Polytechnic University (RU)
Affordable and clean energy
Openalex Percentile: Top 74%
Electric Power Systems and Control
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