Torque Feedback MTPA Control using an Estimated Torque Approximation Equation

The operation of interior permanent magnet synchronous motors (IPMSMs) can deviate from the optimal point for vector control to magnetic saturation of inductance and variations in the magnet flux caused by changes in the magnet temperature. Torque feedback maximum torque per ampere (MTPA) control, which is known for its resilience to parameter fluctuations. This control method requires accurate torque estimation and MTPA angle estimation. However, conventional methods decreased estimation accuracy inductance or magnet flux a method to enhance the accuracy of these estimations by combining torque approximation equations derived from real motor drives. The accuracy of the proposed method in estimating the torque and MTPA angle, as well as its performance under steady-state torque control and transient conditions, validated.

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Publication Details

Journal
IEEJ Journal of Industry Applications
Published
2024-10-10
DOI
https://doi.org/10.1541/ieejjia.24004434
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
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article

Torque Feedback MTPA Control using an Estimated Torque Approximation Equation

Kazuhiko Matsunami, Keiichiro Kondo, Sota Kawashima
IEEJ Journal of Industry Applications
Iterative Learning Control Systems
article

Torque Feedback MTPA Control using an Estimated Torque Approximation Equation

Kazuhiko Matsunami, Keiichiro Kondo, Sota Kawashima
article en

Abstract

The operation of interior permanent magnet synchronous motors (IPMSMs) can deviate from the optimal point for vector control to magnetic saturation of inductance and variations in the magnet flux caused by changes in the magnet temperature. Torque feedback maximum torque per ampere (MTPA) control, which is known for its resilience to parameter fluctuations. This control method requires accurate torque estimation and MTPA angle estimation. However, conventional methods decreased estimation accuracy inductance or magnet flux a method to enhance the accuracy of these estimations by combining torque approximation equations derived from real motor drives. The accuracy of the proposed method in estimating the torque and MTPA angle, as well as its performance under steady-state torque control and transient conditions, validated.

IEEJ Journal of Industry ApplicationsVol. 14(1)
Suzuki (Japan) (JP), Waseda University (JP)
Affordable and clean energy
Openalex Percentile: Top 80%
Iterative Learning Control Systems
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