- Tytuł:
- Application of unscented Kalman filter for clutch position control of automated manual transmission
- Autorzy:
-
Soltani, Abbas
Arianfard, Milad
Jazar, Reza Nakhaie - Powiązania:
- https://bibliotekanauki.pl/articles/2172774.pdf
- Data publikacji:
- 2022
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
automated clutch
actuator
adaptive sliding mode control
estimator
unscented Kalman
filter
automatyczne sprzęgło
sterowanie trybem ślizgowym
taksator
Kalman
filtr - Opis:
- In this paper, an adaptive sliding mode controller (ASMC) is proposed for an electromechanical clutch position control system to apply in the automated manual transmission. Transmission systems undergo changes in parameters with respect to the wide range of driving condition, such as changing in friction coefficient of clutch disc and stiffness of diaphragm spring, hence, an adaptive robust control method is required to guarantee system stability and overcome the uncertainties and disturbances. As the majority of transmission dynamics variables cannot be measured in a cost-efficient way, a non-linear estimator based on unscented Kalman filter (UKF) is designed to estimate the state valuables of the system. Also, a non-linear dynamic model of the electromechanical actuator is presented for the automated clutch system. The model is validated with experimental test results. Numerical simulation of a reference input for clutch bearing displacement is performed in computer simulation to evaluate the performance of controller and estimator. The results demonstrate the high effectiveness of the proposed controller against the conventional sliding mode controller to track precisely the desired trajectories.
- Źródło:
-
Archive of Mechanical Engineering; 2022, LXIX, 2; 319--339
0004-0738 - Pojawia się w:
- Archive of Mechanical Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł