- Tytuł:
- Online parameter identification of SPMSM based on improved artificial bee colony algorithm
- Autorzy:
-
Wu, Chunli
Jiang, Shuai
Bian, Chunyuan - Powiązania:
- https://bibliotekanauki.pl/articles/1955171.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
artificial bee colony algorithm
Euclidean distance
online identification
parameter identification
urface-mounted permanent magnet synchronous motor
algorytm sztucznej kolonii pszczół
odległość euklidesowa
identyfikacja online
identyfikacja parametrów
silnik synchroniczny z magnesami trwałymi montowany na powierzchni czołowej - Opis:
- The artificial bee colony (ABC) intelligence algorithm is widely applied to solve multi-variable function optimization problems. In order to accurately identify the parameters of the surface-mounted permanent magnet synchronous motor (SPMSM), this paper proposes an improved ABC optimization method based on vector control to solve the multi-parameter identification problem of the PMSM. Because of the shortcomings of the existing parameter identification algorithms, such as high computational complexity and data saturation, the ABC algorithm is applied for the multi-parameter identification of the PMSM for the first time. In order to further improve the search speed of the ABC algorithm and avoid falling into the local optimum, Euclidean distance is introduced into the ABC algorithm to search more efficiently in the feasible region. Applying the improved algorithm to multi-parameter identification of the PMSM, this method only needs to sample the stator current and voltage signals of the motor. Combined with the fitness function, the online identification of the PMSM can be achieved. The simulation and experimental results show that the ABC algorithm can quickly identify the motor stator resistance, inductance and flux linkage. In addition, the ABC algorithm improved by Euclidean distance has faster convergence speed and smaller steady-state error for the identification results of stator resistance, inductance and flux linkage.
- Źródło:
-
Archives of Electrical Engineering; 2021, 70, 4; 777-790
1427-4221
2300-2506 - Pojawia się w:
- Archives of Electrical Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł