Abstract
This paper presents an overvoltage suppression method based on machine learning for motor drive systems. Overvoltage in motor drive systems causes electrical stress that leads to insulation breakdown in motors. This paper investigates the impact of cable length and reference voltage on overvoltage to identify critical operating conditions. Machine learning is employed to adjust the reference voltage dynamically in response to varying drive conditions, thereby mitigating overvoltage. The effectiveness of the proposed method is validated through simulation results.
| Original language | English |
|---|---|
| Title of host publication | ICEMS 2025 - 28th International Conference on Electrical Machines and Systems |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3118-3122 |
| Number of pages | 5 |
| ISBN (Electronic) | 9788986510232 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
| Event | 28th International Conference on Electrical Machines and Systems, ICEMS 2025 - Busan, Korea, Republic of Duration: 16 Nov 2025 → 19 Nov 2025 |
Publication series
| Name | ICEMS 2025 - 28th International Conference on Electrical Machines and Systems |
|---|
Conference
| Conference | 28th International Conference on Electrical Machines and Systems, ICEMS 2025 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Busan |
| Period | 16/11/25 → 19/11/25 |
Bibliographical note
Publisher Copyright:© 2025 Korean Institute of Electrical Engineers Electrical Machinery and Energy Conversion Systems Society.
Keywords
- Artificial neural network
- Machine learning
- Motor drive system
- Overvoltage
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering
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