Abstract
A model reference adaptive system (MRAS) based sensor-less control scheme for variable speed wind power applications of the prominent brushless doubly fed reluctance generator (BDFRG) technology is presented. The machine parameter independence of the field-oriented algorithm, offering robust, inherently decoupled real and reactive power control of the grid-connected winding, is achieved by on-line estimation of the inductance ratio, the underlying rotor angular velocity and position MRAS observer being reliant upon. The excellent power controller performance has been demonstrated by realistic simulation studies using large-scale BDFRG design data.
Original language | English |
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Title of host publication | 2023 IEEE 14th International Conference on Power Electronics and Drive Systems (PEDS) |
Place of Publication | Piscataway, NJ, USA |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 9798350399967 |
ISBN (Print) | 9798350399974 |
DOIs | |
Publication status | Published - 7 Aug 2023 |
Event | 14th IEEE International Conference on Power Electronics and Drive Systems (PEDS 2023) - Montreal, Canada Duration: 7 Aug 2023 → 10 Aug 2023 Conference number: 14 https://ieee-peds.org/ |
Publication series
Name | Proceedings of the International Conference on Power Electronics and Drive Systems |
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Volume | 2023-August |
ISSN (Print) | 2164-5256 |
ISSN (Electronic) | 2164-5264 |
Conference
Conference | 14th IEEE International Conference on Power Electronics and Drive Systems (PEDS 2023) |
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Abbreviated title | IEEE PEDS 2023 |
Country/Territory | Canada |
City | Montreal |
Period | 7/08/23 → 10/08/23 |
Internet address |
Keywords
- Brushless Doubly Fed Reluctance Generator
- Model Reference Adaptive System
- Sensorless Control
- Wind Energy Conversion System