Position and Velocity Predictions of the Piston in a Wet Clutch System during Engagement by Using a Neural Network Modeling - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

Position and Velocity Predictions of the Piston in a Wet Clutch System during Engagement by Using a Neural Network Modeling

Yu Zhong
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Gregory Pinte
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Wim Symens
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Julian Stoev
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Abstract

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.
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hal-01521397 , version 1 (11-05-2017)

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Yu Zhong, Bart Wyns, Abhishek Dutta, Clara-Mihaela Ionescu, Gregory Pinte, et al.. Position and Velocity Predictions of the Piston in a Wet Clutch System during Engagement by Using a Neural Network Modeling. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.474-482, ⟨10.1007/978-3-642-33409-2_49⟩. ⟨hal-01521397⟩
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