Abstract
Switched Reluctance Motors (SRMs) are widely used for their simplicity and cost-effectiveness, for example, in coarse laser pointing for free-space optical (FSO) communication, with torque ripple being a challenge in their implementation. This paper introduces an automated, model-free approach to minimize torque ripple in SRMs despite manufacturing variations. Using an extremum-seeking approach, the commutation parameters are adapted online to mitigate the position-dependent velocity ripple through gradient descent. Simulations show that the method's effectiveness is consistent across different SRMs, rendering it applicable to mass production, and experimental results verify that torque ripple is almost entirely eliminated in several hours. The developed approach enables accurate SRM control with minimal expert knowledge, functioning as a crucial step toward their deployment in constellation projects for FSO communication.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2024 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 592-597 |
| Number of pages | 6 |
| ISBN (Electronic) | 979-8-3503-5536-9 |
| DOIs | |
| Publication status | Published - 22 Aug 2024 |
| Event | 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics AIM 2024 - Boston, United States Duration: 15 Jul 2024 → 18 Jul 2024 |
Conference
| Conference | 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics AIM 2024 |
|---|---|
| Abbreviated title | AIM 2024 |
| Country/Territory | United States |
| City | Boston |
| Period | 15/07/24 → 18/07/24 |
Keywords
- Switched Reluctance Motor
- commutation
- Extremum seeking control
- optimization