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Wyszukujesz frazę "online algorithm" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
The look-up algorithm of monitoring an object described by non-linear ordinary differential equations
Autorzy:
Hawro, Przemysław
Kwater, Tadeusz
Bartman, Jacek
Kwiatkowski, Bogdan
Powiązania:
https://bibliotekanauki.pl/articles/2204529.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
adaptive estimation
polluted river
MATLAB
lookup algorithm
monitoring online
algorytm wyszukiwania
monitorowanie on-line
zanieczyszczenie rzeki
szacowanie adaptacyjne
Opis:
The article proposes an adaptive algorithm that generates all object signals, including those for which measurements are not performed due to the difficulties associated with on-line measurements. The algorithm is modeled on the idea of the Kalman filter using its equation, however, the selection of gains is optimized in a different way, i.e. the constant values depend on the adopted ranges of adaptation errors. Moreover, the knowledge of the statistics of all noise signals is not imposed and there is no linearity constraint. This approach allowed to reduce the complexity of calculations. This algorithm can be used in real-time systems to generate signals of objects described by non-linear differential equations and it is universal, which allows it to be used for various objects. In the conducted research, on the example of a biochemically contaminated river, only easily measurable signals were used to generated the object signals, and in addition, in the case of absence some measurements, the functioning of the algorithm did not destabilize.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 2; art. no. e144603
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
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
    Wyświetlanie 1-2 z 2

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