Dry Dual Clutch Transmission Systems: a Model Predictive Approach to Clutch Slipping Control = Dry Dual Clutch Transmisson system: clutch slipping control using Model Predictive approach
Danilo Voria
Dry Dual Clutch Transmission Systems: a Model Predictive Approach to Clutch Slipping Control = Dry Dual Clutch Transmisson system: clutch slipping control using Model Predictive approach.
Rel. Carlo Novara, Emanuel Corigliano. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2019
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Abstract
In this thesis project, developed in collaboration with Centro Ricerche Fiat (CRF), a Model Predictive Control approach is proposed to control the Dry Dual Clutch of an Automated Manual Transmission (AMT) system during its slipping phase. In particular, the analysis is focused on the Dry Dual Clutch Transmission (DDCT) developed by Fiat Power-train Technologies. During gear shifting operations, the clutch disks that are about to close do not immediately take on the same speed: the controller’s goal is to ensure that the speed difference between the disks (slipping speed) follows a given profile and reaches the null value in a smooth way.
The results taken as a reference (and therefore to be improved) are those obtained with a PID controller designed by CRF
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