Multi-Objective Optimization of Permanent Magnet Assisted Synchronous Reluctance Motor for Industrial Drive Using Three-Step Optimization Method

Because of the advantages of high power factor and high power, and has been gradually applied in the field of industrial drive. The permanent magnet assisted synchronous reluctance motor has been widely applied in the field of industrial drive. The drive motor requires large output torque, high power factor and small torque ripple, thereby imposing more stringent demands on motor optimization. However, due to the complex rotor structure with the complex magnetic barrier, the optimization parameters of the permanent magnet assisted synchronous reluctance motor is large. Aiming at the above-mentioned problems, a three-step optimization method is studied. The relationship between the rotor structural dimensions is studied to reduce the number of parameters to be optimized. The parameter sensitivity is used to optimize the structure parameters. The response surface method and genetic algorithm are combined used to realize the comprehensive optimization of multi-objective. Then, the parameters with high sensitivity of single target are optimized by the single parameter scanning method. Finally, the structural detail of the magnetic barrier tip is precisely optimized to reduce the torque ripple. A 15 kW/1500 rpm permanent magnet assisted synchronous reluctance motor is optimized by the three-step optimization method. The simulation and experimental results are presented to verify the improvement of the motor performance.

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Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2024-12-20
DOI
https://doi.org/10.1109/tia.2024.3520881
Citations
3
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.63
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Multi-Objective Optimization of Permanent Magnet Assisted Synchronous Reluctance Motor for Industrial Drive Using Three-Step Optimization Method

Shushu Zhu, Junqi Hu, Renhua Jiang, Chuang Liu et al.
3 citations
IEEE Transactions on Industry Applications
Electric Motor Design and Analysis
0.63
article

Multi-Objective Optimization of Permanent Magnet Assisted Synchronous Reluctance Motor for Industrial Drive Using Three-Step Optimization Method

Shushu Zhu, Junqi Hu, Renhua Jiang, Chuang Liu, Xun Li, Kai Wang
article en
3 citations

Abstract

Because of the advantages of high power factor and high power, and has been gradually applied in the field of industrial drive. The permanent magnet assisted synchronous reluctance motor has been widely applied in the field of industrial drive. The drive motor requires large output torque, high power factor and small torque ripple, thereby imposing more stringent demands on motor optimization. However, due to the complex rotor structure with the complex magnetic barrier, the optimization parameters of the permanent magnet assisted synchronous reluctance motor is large. Aiming at the above-mentioned problems, a three-step optimization method is studied. The relationship between the rotor structural dimensions is studied to reduce the number of parameters to be optimized. The parameter sensitivity is used to optimize the structure parameters. The response surface method and genetic algorithm are combined used to realize the comprehensive optimization of multi-objective. Then, the parameters with high sensitivity of single target are optimized by the single parameter scanning method. Finally, the structural detail of the magnetic barrier tip is precisely optimized to reduce the torque ripple. A 15 kW/1500 rpm permanent magnet assisted synchronous reluctance motor is optimized by the three-step optimization method. The simulation and experimental results are presented to verify the improvement of the motor performance.

IEEE Transactions on Industry ApplicationsVol. 61(1)
Delta Electronics (China) (CN), Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 30%
Electric Motor Design and Analysis
0.63
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Multi-Objective Optimization of Permanent Magnet Assisted Synchronous Reluctance Motor for Industrial Drive Using Three-Step Optimization Method — Shushu Zhu, Junqi Hu, et al. · IEEE Transactions on Industry Applications (2024) | TGRS Research Map | TGRS