Abstract
Model predictive controller has been widely implemented for different power electronic converters motivated by their well-known merits. However, the computation burden increases tremendously if the converter's voltage levels and/or phases are increased. This results in longer sample time and deteriorated performance. In this work, predictive current control (PCC) of a six-phase induction motor (IM) fed from a three-level voltage source (3L-VSI) is explored. First, the available 729 voltage vectors (VVs) are examined and classified according to their magnitudes into 24 groups. Then, based on the controller objectives, one group consisting only of 13 VVs is nominated. This group not only satisfies torque and flux tracking requirements but also greatly reduces the effect of the unwanted circulating xy currents. The effectiveness of the proposed method is validated using an experimental test bench.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE Power and Energy Society General Meeting, PESGM 2023 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781665464413 |
| DOIs | |
| State | Published - 2023 |
| Event | 2023 IEEE Power and Energy Society General Meeting, PESGM 2023 - Orlando, United States Duration: 16 Jul 2023 → 20 Jul 2023 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Volume | 2023-July |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2023 IEEE Power and Energy Society General Meeting, PESGM 2023 |
|---|---|
| Country/Territory | United States |
| City | Orlando |
| Period | 16/07/23 → 20/07/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Predictive current control
- multi-phase induction motor
- three-level inverter
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
