Online MTPA Angle Search Method Using Flux Linkage Plane Estimation of SynRM

The synchronous reluctance motor (SynRM) has attracted attention as a low-cost, resource-saving, and high-efficiency motor. Maximum torque per ampere (MTPA) control is one method to control the SynRM with high efficiency. However, it is difficult to derive MTPA conditions for the SynRM because its inductance varies significantly depending on the current due to magnetic saturation. This paper proposes an online MTPA angle search method. In the proposed method, the flux linkage plane is modeled, and the model parameters are identified using the recursive least squares (RLS) method. The MTPA search is achieved using the estimated flux linkage plane and the gradient ascent method. This study conducted various experiments to evaluate the performance of the proposed online MTPA angle search method. The proposed method is effective for a wide current range, resistance variation, and position error.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921043
Citations
1
Primary Topic
Robotic Mechanisms and Dynamics
Type
article
Field-Weighted Citation Impact
0.33
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Online MTPA Angle Search Method Using Flux Linkage Plane Estimation of SynRM

Masayuki Sanada, Shigeo Morimoto, Shin’ichi Arakawa, Yukinori Inoue
1 citations
Robotic Mechanisms and Dynamics
0.33
article

Online MTPA Angle Search Method Using Flux Linkage Plane Estimation of SynRM

Masayuki Sanada, Shigeo Morimoto, Shin’ichi Arakawa, Yukinori Inoue
article en
1 citations

Abstract

The synchronous reluctance motor (SynRM) has attracted attention as a low-cost, resource-saving, and high-efficiency motor. Maximum torque per ampere (MTPA) control is one method to control the SynRM with high efficiency. However, it is difficult to derive MTPA conditions for the SynRM because its inductance varies significantly depending on the current due to magnetic saturation. This paper proposes an online MTPA angle search method. In the proposed method, the flux linkage plane is modeled, and the model parameters are identified using the recursive least squares (RLS) method. The MTPA search is achieved using the estimated flux linkage plane and the gradient ascent method. This study conducted various experiments to evaluate the performance of the proposed online MTPA angle search method. The proposed method is effective for a wide current range, resistance variation, and position error.

Osaka Metropolitan University (JP), Tokyo Metropolitan University (JP)
Openalex Percentile: Top 36%
Robotic Mechanisms and Dynamics
0.33
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