Abstract
In variable reluctance (VR) resolvers, harmonic components in the induced voltage across the secondary windings are critical to the accuracy of position sensing. Reducing inaccuracy requires precise design of stator windings, sensor geometry, and configurations. To reduce angle errors in VR resolvers, a systematic design method is presented in this paper. Finite element analysis (FEA) is used to examine the effects of changes in the stator windings, rotor surface geometry, and stator core geometry. Finally, an efficient design process is introduced that can minimize position errors using a genetic algorithm-based optimization algorithm.
| Original language | English |
|---|---|
| Title of host publication | CEFC 2024 - 21st IEEE Biennial Conference on Electromagnetic Field Computation |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350348958 |
| DOIs | |
| State | Published - 2024 |
| Event | 21st IEEE Biennial Conference on Electromagnetic Field Computation, CEFC 2024 - Jeju, Korea, Republic of Duration: 2 Jun 2024 → 5 Jun 2024 |
Publication series
| Name | CEFC 2024 - 21st IEEE Biennial Conference on Electromagnetic Field Computation |
|---|
Conference
| Conference | 21st IEEE Biennial Conference on Electromagnetic Field Computation, CEFC 2024 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Jeju |
| Period | 2/06/24 → 5/06/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- design optimization
- position error
- sensor accuracy
- VR resolver