- Tytuł:
- Application of fuzzy type II multi-layer Kalman filter for parameters identification of two-mass drive system
- Autorzy:
-
Śleszycki, Kacper
Wróbel, Karol
Szabat, Krzysztof
Katsura, Seiichiro - Powiązania:
- https://bibliotekanauki.pl/articles/27311447.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Czasopisma i Monografie PAN
- Tematy:
-
electrical drives
torsional vibration
state estimation
Kalman filter
multi-layer estimator
napędy elektryczne
drgania skrętne
ocena stanu
estymator wielowarstwowy
filtr Kalmana - Opis:
- The paper describes a novel online identification algorithm for a two-mass drive system. The multi-layer extended Kalman Filter (MKF) is proposed in the paper. The proposed estimator has two layers. In the first one, three single extended Kalman filters (EKF) are placed. In the second layer, based on the incoming signals from the first layer, the final states and parameters of the two-mass system are calculated. In the considered drive system, the stiffness coefficient of the elastic shaft and the time constant of the load machine is estimated. To improve the quality of estimated states, an additional system based on II types of fuzzy sets is proposed. The application of fuzzy MKF allows for a shorter identification time, as well as improves the accuracy of estimated parameters. The identified parameters of the two-mass system are used to calculate the coefficients of the implemented control structure. Theoretical considerations are supported by simulations and experimental tests.
- Źródło:
-
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e146107
0239-7528 - Pojawia się w:
- Bulletin of the Polish Academy of Sciences. Technical Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł