- Tytuł:
- Fault diagnosis-based observers using Kalman filters and Luenberger estimators: Application to the pitch system fault actuators
- Autorzy:
-
Zemali, Zakaria
Cherroun, Lakhmissi
Hadroug, Nadji
Nadour, Mohamed
Hafaifa, Ahmed - Powiązania:
- https://bibliotekanauki.pl/articles/2174470.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
fault detection
estimation
pitch system
Kalman filter
Luenberger observer
wykrywanie uszkodzeń
estymacja
filtr Kalmana
obserwator Luenbergera - Opis:
- This paper aims to present a robust fault diagnosis structure-based observers for actuator faults in the pitch part system of the wind turbine benchmark. In this work, two linear estimators have been proposed and investigated: the Kalman filter and the Luenberger estimator for observing the output states of the pitch system in order to generate the appropriate residual between the measured positions of blades and the estimated values. An inference step as a decision block is employed to decide the existence of faults in the process, and to classify the detected faults using a predetermined threshold defined by upper and lower limits. All actuator faults in the pitch system of the horizontal wind turbine benchmark are studied and investigated. The obtained simulation results show the ability of the proposed diagnosis system to determine effectively the occurred faults in the pitch system. Estimation of the output variables is effectively realized in both situations: without and with the occurrence of faults in the studied process. A comparison between the two used observers is demonstrated.
- Źródło:
-
Diagnostyka; 2023, 24, 1; art. no. 2022110
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł