Abstract
To better design permanent-magnet synchronous linear motors for high-precision CNC machine tools, this paper conducts multi-objective genetic optimization on four performance indicators - thrust density, thrust ripple, normal force, and terminal voltage. By constructing optimization functions with practical physical significance to perform weighted aggregation of the optimization parameters, the dimensionality of the optimization objectives is reduced, achieving favorable optimization results. Subsequently, the correlation between several key structural parameters and performance indicators of the motor is analyzed, exploring some underlying patterns for this type of motor.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 672-677 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798331549558 |
| DOIs | |
| State | Published - 2026 |
| Externally published | Yes |
| Event | 9th International Electrical and Energy Conference, CIEEC 2026 - Tianjin, China Duration: 15 May 2026 → 17 May 2026 |
Publication series
| Name | Proceedings of 2026 IEEE 9th International Electrical and Energy Conference, CIEEC 2026 |
|---|
Conference
| Conference | 9th International Electrical and Energy Conference, CIEEC 2026 |
|---|---|
| Country/Territory | China |
| City | Tianjin |
| Period | 15/05/26 → 17/05/26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- correlation analysis
- genetic algorithm
- multi-objective optimization
- permanent magnet linear synchronous motor
Fingerprint
Dive into the research topics of 'Multi-objective Optimization and Correlation Analysis of Permanent Magnet Synchronous Linear Motors'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver