PMSM design optimization concerning sensorless performance and torque ripple
This paper proposes a multi objective design optimization approach concerning sensorless performance and torque ripple for Permanent Magnet Synchronous Machine. Sensitivity analysis of design parameters has been accomplished for critical parameters selection and metamodels are generated based on cri...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671122000213 |
| _version_ | 1811217100843253760 |
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| author | Haiteng Sun Guillaume Krebs Imen Bahri Pedro Rodriguez-Ayerbe Mohamed Khanchoul |
| author_facet | Haiteng Sun Guillaume Krebs Imen Bahri Pedro Rodriguez-Ayerbe Mohamed Khanchoul |
| author_sort | Haiteng Sun |
| collection | DOAJ |
| description | This paper proposes a multi objective design optimization approach concerning sensorless performance and torque ripple for Permanent Magnet Synchronous Machine. Sensitivity analysis of design parameters has been accomplished for critical parameters selection and metamodels are generated based on critical variables. Based on these metamodels, the optimization process aims to propose an optimal machine geometry to improve sensorless performance without compromising torque ripple and average torque. The metamodel assisted optimization process has been proven to reduce computational cost with a good accuracy. The selection of the optimal solution was achieved based on multi-objective optimization process using NSGA-II. The optimal solution is validated by finite element analysis and has proved an extending of 100% of the feasibility area of sensorless control with only an increase of 3% of torque ripple. The fidelity model of optimized solution is generated and sensorless control algorithm is simulated with fidelity model to prove that the optimized solution could be operated sensorless in low speed high load conditions. |
| first_indexed | 2024-04-12T06:48:29Z |
| format | Article |
| id | doaj.art-c9c1a46273a14a42b99aa743045f4224 |
| institution | Directory Open Access Journal |
| issn | 2772-6711 |
| language | English |
| last_indexed | 2024-04-12T06:48:29Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
| spelling | doaj.art-c9c1a46273a14a42b99aa743045f42242022-12-22T03:43:27ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112022-01-012100049PMSM design optimization concerning sensorless performance and torque rippleHaiteng Sun0Guillaume Krebs1Imen Bahri2Pedro Rodriguez-Ayerbe3Mohamed Khanchoul4University of Paris-Saclay, CentraleSupélec, CNRS, Group of electrical engineering - Paris, Gif-sur-Yvette, 91192, FranceUniversity of Paris-Saclay, CentraleSupélec, CNRS, Group of electrical engineering - Paris, Gif-sur-Yvette, 91192, FranceUniversity of Paris-Saclay, CentraleSupélec, CNRS, Group of electrical engineering - Paris, Gif-sur-Yvette, 91192, France; Corresponding author.Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, Gif-sur-Yvette, 91190, FranceValeo Thermique Habitable, La Verrière 78321, FranceThis paper proposes a multi objective design optimization approach concerning sensorless performance and torque ripple for Permanent Magnet Synchronous Machine. Sensitivity analysis of design parameters has been accomplished for critical parameters selection and metamodels are generated based on critical variables. Based on these metamodels, the optimization process aims to propose an optimal machine geometry to improve sensorless performance without compromising torque ripple and average torque. The metamodel assisted optimization process has been proven to reduce computational cost with a good accuracy. The selection of the optimal solution was achieved based on multi-objective optimization process using NSGA-II. The optimal solution is validated by finite element analysis and has proved an extending of 100% of the feasibility area of sensorless control with only an increase of 3% of torque ripple. The fidelity model of optimized solution is generated and sensorless control algorithm is simulated with fidelity model to prove that the optimized solution could be operated sensorless in low speed high load conditions.http://www.sciencedirect.com/science/article/pii/S2772671122000213PMSM sensorless controlDesign optimizationSensitivity analysisMetamodelMulti-objective optimization |
| spellingShingle | Haiteng Sun Guillaume Krebs Imen Bahri Pedro Rodriguez-Ayerbe Mohamed Khanchoul PMSM design optimization concerning sensorless performance and torque ripple e-Prime: Advances in Electrical Engineering, Electronics and Energy PMSM sensorless control Design optimization Sensitivity analysis Metamodel Multi-objective optimization |
| title | PMSM design optimization concerning sensorless performance and torque ripple |
| title_full | PMSM design optimization concerning sensorless performance and torque ripple |
| title_fullStr | PMSM design optimization concerning sensorless performance and torque ripple |
| title_full_unstemmed | PMSM design optimization concerning sensorless performance and torque ripple |
| title_short | PMSM design optimization concerning sensorless performance and torque ripple |
| title_sort | pmsm design optimization concerning sensorless performance and torque ripple |
| topic | PMSM sensorless control Design optimization Sensitivity analysis Metamodel Multi-objective optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2772671122000213 |
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