Position and Velocity Predictions of the Piston in a Wet Clutch System during Engagement by Using a Neural Network Modeling
Résumé
In a wet clutch system, a piston is used to compress the friction disks to close the clutch. The position and the velocity of the piston are the key effectors for achieving a good engagement performance. In a real setup, it is impossible to measure these variables. In this paper, we use transmission torque and slip to approximate the piston velocity and position information. By using this information, a process neural network is trained. This neural predictor shows good forecasting results on the piston position and velocity. It is helpful in designing a pressure profile which can result in a smooth and fast engagement in the future. This neural predictor can also be used in other model-based control techniques.
Domaines
Informatique [cs]| Origine | Fichiers produits par l'(les) auteur(s) |
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