Abstract
A new model reference adaptive system (MRAS) based estimation technique for vector control of a brushlesss doubly fed reluctance generator (BDFRG) without a shaft position sensor is proposed. The rotor speed is being precisely observed in a closed-loop fashion through an iterative error eradication process between the measured and estimated secondary current angles in a stationary frame. Contrary to the existing MRAS designs reported in the BDFRG literature, the reference model only utilises direct measurements of the secondary currents with-out any machine parameters. Furthermore, the current estimates coming from the adaptive model are obtained using the measured grid voltages and currents, which has provided prospects for much higher accuracy and superior overall performance. The realistic simulations and the accompanying parameter sensitivity studies have shown the great controller potential for typical operating conditions of wind turbines as the main target application.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IECON 2020 |
| Subtitle of host publication | 46th Annual Conference of the IEEE Industrial Electronics Society |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 1734-1739 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728154145 |
| DOIs | |
| Publication status | Published - 18 Oct 2020 |
| Event | 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore Duration: 19 Oct 2020 → 21 Oct 2020 |
Conference
| Conference | 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 |
|---|---|
| Country/Territory | Singapore |
| City | Virtual, Singapore |
| Period | 19/10/20 → 21/10/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Adaptive Systems
- Brushless Machines
- Sensorless Control
- Velocity Control
- Wind Energy Conversion
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