| Autor: |
Tuan Pham Van, Hoa Bui Thanh, Long Nguyen Thanh, Nguyen Thai Huu |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
ICSSE |
| DOI: |
10.1109/icsse52999.2021.9538479 |
| Popis: |
Online estimation of rotor and stator resistance is essential for indirect vector controlled speed sensorless induction motor drive in the low-speed region. In this paper, a novel modified neural algorithm has been proposed for online estimation of the rotor and stator resistance. The rotor resistance is estimated by a two-layered feed-forward neural network. The stator resistance is estimated using a two-layered recurrent neural network. The learning rates of the neural networks for rotor and stator resistance estimation are modified by a mamdani fuzzy model. Accurate estimation of rotor and stator resistance improved the quality of the indirect vector controlled speed sensorless induction motor drive. The simulation results showed that the rotor and stator resistance estimated with small error compared to the real rotor and stator resistance, improving the quality of the indirect vector controlled speed sensorless induction motor drive. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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