Control and power quality improvement of three-phase PWM-Rectifier
| dc.contributor.author | Djabali, Sarah | |
| dc.contributor.author | Ait Hamou Ali, Melissa | |
| dc.contributor.author | Ammar, Abdelkarim (Supervisor) | |
| dc.date.accessioned | 2023-06-05T12:50:49Z | |
| dc.date.available | 2023-06-05T12:50:49Z | |
| dc.date.issued | 2020 | |
| dc.description | 94 p. | en_US |
| dc.description.abstract | This thesis presents performance enhancement of PWM-rectifiers. Several control strategies have been proposed for the PWM-rectifier, such as voltage-oriented control (VOC), direct power control (DPC) and their combination: DPC with space vector modulation (DPC-SVM). Moreover, various virtual flux estimation techniques have been presented as a sensorless control algorithm in order to rise system reliability by decreasing the number of sensors and improving line-voltage estimation accuracy. Finally, a recent control strategy based on model predictive control has been introduced; this strategy reduces the complexity of the control circuit. All presented techniques have been investigated through simulation using MATLAB/Simulink software. The simulation results validate the presented control strategies. Sensorless predictive control features excellent PWM-rectifier performance as well as high robustness to network distortions. | en_US |
| dc.description.sponsorship | Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE) | en_US |
| dc.identifier.uri | https://dspace.univ-boumerdes.dz/handle/123456789/11672 | |
| dc.language.iso | en | en_US |
| dc.subject | Predictive control | en_US |
| dc.subject | Harmonics | en_US |
| dc.subject | PWM-rectifier | en_US |
| dc.title | Control and power quality improvement of three-phase PWM-Rectifier | en_US |
| dc.type | Thesis | en_US |
Files
Original bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- Control and Power Quality improvement of PWM rectifier.rar
- Size:
- 12.14 MB
- Format:
- Unknown data format
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description:
