Design and Multi-Objective Optimization for Improving Torque Performance of a Permanent Magnet-Assisted Synchronous Reluctance Motor
Abstract
:1. Introduction
2. Machine Topology and Simulation Results
2.1. Machine Topology
2.2. No-Load Characteristics Analysis
2.3. On-Load Characteristics Analysis
3. Multi-Objective Optimization
3.1. Multi-Objective Optimization Size
3.2. Uniform Latin Hypercube Sampling and Sensitivity Analysis
3.3. Multi-Objective Optimization of pilOPT Algorithm
4. Performance Analysis of Optimized Model
4.1. Comparison of Optimized Model Performance
4.2. Performance Analysis of Anti-Demagnetization
5. Conclusions
- (1)
- The magnetic field line distribution, air gap magnetic density and back EMF under no-load conditions were analyzed. It was proven that the magnetic focusing effect exists in the proposed model, and the excitation effect is obviously improved.
- (2)
- Under load conditions, proposed model two had a more saturated internal magnetic circuit than the basic model, with an average torque increase of 24.08% and an efficiency improvement of 1.45%.
- (3)
- After multi-objective optimization of the rotor magnetic barrier and permanent magnet size of the proposed model two, under no-load conditions, the RMS value of the air gap magnetic density increased by 41.99%, and the RMS value of back EMF increased by 43.85%. Under load conditions, the average torque was increased by 18.14%, the torque ripple was decreased by 5.22%, the total loss was decreased by 1.35%, and the efficiency was increased by 1.05% compared to the initial proposed model two.
- (4)
- After conducting an anti-demagnetization analysis on the optimized model, the simulation results show that the structure of the model has good demagnetization resistance and positive reliability.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Item | Unit | Basic Model/Prop. Model 1/Prop. Model 2 |
---|---|---|
Pole/Slot | / | 8/48 |
Stator outer diameter | mm | 98 |
Stator inner diameter | mm | 61 |
Rotor outer diameter | mm | 60 |
Rotor inner diameter | mm | 15 |
Air gap length | mm | 0.5 |
Motor axial length | mm | 100 |
Remanence of magnet | T | 1.28 |
Item | Unit | Basic Model | Prop. Model 1 | Prop. Model 2 |
---|---|---|---|---|
Back EMF (RMS) | V | 113.726 | 140.394 | 178.605 |
Air gap flux density (RMS) | T | 0.295 | 0.435 | 0.412 |
Item | Unit | Basic Model | Prop. Model 1 | Prop. Model 2 |
---|---|---|---|---|
Average torque | N·m | 38.784 | 42.775 | 48.123 |
Torque ripple | % | 26.688 | 26.059 | 31.582 |
Power | W | 6680.77 | 7304.68 | 8126.77 |
Total loss | W | 513.789 | 514.597 | 515.822 |
Efficiency | % | 92.31 | 92.96 | 93.65 |
Name | Item | Unit | Optimization Scope |
---|---|---|---|
PM1 length | LM1 | mm | 4~12.5 |
PM2 length | LM2 | mm | 2.5~3 |
PM3 length | LM3 | mm | 5~5.9 |
PM4 length | LM4 | mm | 6~7.9 |
PM5 length | LM5 | mm | 3~4.4 |
PM1 width | DM1 | mm | 1.4~2 |
PM2 width | DM2 | mm | 1.4~1.6 |
PM3 width | DM3 | mm | 2~3 |
PM4 width | DM4 | mm | 2~3 |
Flux barrier1 width | DB1 | mm | 1~1.5 |
Flux barrier2 width | DB2 | mm | 1~1.5 |
Flux barrier3 width | DB3 | mm | 1~1.2 |
Flux barrier4 width | DB4 | mm | 0.5~2 |
Name | Item | Unit | Value |
---|---|---|---|
PM1 length | LM1 | mm | 5.5 |
PM2 length | LM2 | mm | 2.5 |
PM3 length | LM3 | mm | 5 |
PM4 length | LM4 | mm | 7.9 |
PM5 length | LM5 | mm | 4.4 |
PM1 width | DM1 | mm | 1.4 |
PM2 width | DM2 | mm | 1.4 |
PM3 width | DM3 | mm | 2 |
PM4 width | DM4 | mm | 2 |
Flux barrier1 width | DB1 | mm | 1.5 |
Flux barrier2 width | DB2 | mm | 1 |
Flux barrier3 width | DB3 | mm | 1.2 |
Flux barrier4 width | DB4 | mm | 0.5 |
Item | Unit | Value |
---|---|---|
Back EMF (RMS) | V | 256.926 |
Air gap flux density (RMS) | T | 0.585 |
Average torque | N·m | 56.854 |
Torque ripple | % | 29.932 |
Power | W | 9473.31 |
Total loss | W | 508.87 |
Efficiency | % | 94.63 |
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Zhang, J.; Xing, F.; Kang, L.; Qin, C. Design and Multi-Objective Optimization for Improving Torque Performance of a Permanent Magnet-Assisted Synchronous Reluctance Motor. Appl. Sci. 2024, 14, 5253. https://doi.org/10.3390/app14125253
Zhang J, Xing F, Kang L, Qin C. Design and Multi-Objective Optimization for Improving Torque Performance of a Permanent Magnet-Assisted Synchronous Reluctance Motor. Applied Sciences. 2024; 14(12):5253. https://doi.org/10.3390/app14125253
Chicago/Turabian StyleZhang, Jiajia, Feng Xing, Lipeng Kang, and Caiyan Qin. 2024. "Design and Multi-Objective Optimization for Improving Torque Performance of a Permanent Magnet-Assisted Synchronous Reluctance Motor" Applied Sciences 14, no. 12: 5253. https://doi.org/10.3390/app14125253
APA StyleZhang, J., Xing, F., Kang, L., & Qin, C. (2024). Design and Multi-Objective Optimization for Improving Torque Performance of a Permanent Magnet-Assisted Synchronous Reluctance Motor. Applied Sciences, 14(12), 5253. https://doi.org/10.3390/app14125253