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Shock and Vibration
Volume 2017 (2017), Article ID 5783527, 12 pages
Research Article

Drivability Improvement Control for Vehicle Start-Up Applied to an Automated Manual Transmission

Research Center of Power Machinery, Beijing Institute of Technology, Beijing 100081, China

Correspondence should be addressed to Zhe Zuo

Received 22 November 2016; Accepted 21 February 2017; Published 11 May 2017

Academic Editor: Angelo Marcelo Tusset

Copyright © 2017 Danna Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Drivability is the key factor for the automated manual transmission. It includes fast response to the driver’s demand and the driving comfort. This paper deals with a control methodology applied to an automated manual transmission vehicle for drivability enhancement during vehicle start-up phase. Based on a piecewise model of powertrain, a multiple-model predictive controller (mMPC) is designed with the engine speed, clutch disc speed, and wheel speed as the measurable input variables and the engine torque reference and clutch friction torque reference as the controller’s output variables. The model not only includes the clutch dynamic, the flexible shaft dynamic, but also includes the actuators’ delay character. Considering the driver’s intention, a slipping speed trajectory is generated based on the acceleration pedal dynamically. The designed control strategy is verified on a complete powertrain and longitudinal vehicle dynamic model with different driver’s torque demands.