Virtual-vector-based predictive torque control for six-phase IM with reduced computational burden and copper losses
Corresponding author: Osvaldo González (e-mail: ogonzalez@ing.una.py).
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , , , , , , |
| Format: | article |
| Language: | English |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://doi.org/10.1109/OJPEL.2025.3594307 http://hdl.handle.net/20.500.14066/4621 |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Virtual-vector-based predictive torque control for six-phase IM with reduced computational burden and copper losses
- Sequential model predictive torque control for six-phase machines without weighting factors
- Identification of magnetization inductance for six-phase induction machines driven by modulated predictive control in field weakening zone
- Field-weakening strategy with modulated predictive current control applied to six-phase induction machines
- Improving steady state accuracy in field-weakened six-phase induction machines with integrator and modulated predictive control
- Speed sensorless control for a six-phase induction machine based on a sliding mode observer
- Temperature control board design and validation for skipper-CCD sensors using a buck converter