Efficiency Optimization Strategy of Induction Motor Based on Electromagnetic and Reactive Torque Control

This paper proposes an efficiency optimization strategy for the induction motor based on electromagnetic and reactive torque control (ERTC). The application of ERTC better decouples flux and torque, directly controls torque for rapid and stable dynamic regulation, cuts dynamic losses under various conditions. On this basis, an optimal rotor flux based on the loss model controller is computed to achieve real-time efficiency optimization of the motor. Meanwhile, to alleviate the deceleration of system response speed caused by the dynamic flux variations during the process of optimizing efficiency, the model-free predictive electromagnetic and reactive torque control (MFPERTC) is presented. MFPERTC further improves the comprehensive performance between high efficiency and rapid, stable response, demonstrating stronger robustness than traditional model predictive control. It makes certain contributions to the development of electric vehicles and the industrial standardization of predictive control.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-09-05
DOI
https://doi.org/10.1109/tte.2025.3606623
Citations
1
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.73
Controls
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article

Efficiency Optimization Strategy of Induction Motor Based on Electromagnetic and Reactive Torque Control

Pingping Gong, Ziguang Lu, Yiwen He
1 citations
IEEE Transactions on Transportation Electrification
Sensorless Control of Electric Motors
0.73
article

Efficiency Optimization Strategy of Induction Motor Based on Electromagnetic and Reactive Torque Control

Pingping Gong, Ziguang Lu, Yiwen He
article en
1 citations

Abstract

This paper proposes an efficiency optimization strategy for the induction motor based on electromagnetic and reactive torque control (ERTC). The application of ERTC better decouples flux and torque, directly controls torque for rapid and stable dynamic regulation, cuts dynamic losses under various conditions. On this basis, an optimal rotor flux based on the loss model controller is computed to achieve real-time efficiency optimization of the motor. Meanwhile, to alleviate the deceleration of system response speed caused by the dynamic flux variations during the process of optimizing efficiency, the model-free predictive electromagnetic and reactive torque control (MFPERTC) is presented. MFPERTC further improves the comprehensive performance between high efficiency and rapid, stable response, demonstrating stronger robustness than traditional model predictive control. It makes certain contributions to the development of electric vehicles and the industrial standardization of predictive control.

IEEE Transactions on Transportation ElectrificationVol. 11(6)
Guangxi University (CN)
Openalex Percentile: Top 24%
Sensorless Control of Electric Motors
0.73
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