Multiple Constrained MPC Design for Automotive Dry Clutch Engagement
| Autor: | Adolfo Senatore, Mario Pisaturo, Maurizio Cirrincione |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Crankshaft
Engineering Automated manual transmissions (AMTs) dry clutch transmissibility high-order model predictive control with constraints business.industry Powertrain Manual transmission Automotive industry dry clutch transmissibility Angular velocity Automotive engineering Computer Science Applications law.invention Control and Systems Engineering Control theory law high-order model Clutch predictive control with constraints Electrical and Electronic Engineering business Automated manual transmissions (AMTs) Stall (engine) |
| Zdroj: | IEEE/ASME Transactions on Mechatronics. 20:469-480 |
| ISSN: | 1941-014X 1083-4435 |
| DOI: | 10.1109/tmech.2014.2335894 |
| Popis: | In this paper, a multiple model predictive controller (MPC) is proposed for the management of passenger car start up through dry clutch in automated manual transmission. Based on a high-order dynamic model of powertrain system, the feedback controllers are designed by using the crankshaft angular speed and the clutch disk angular speed as measured variables. Moreover, the MPC is developed to comply with constrains both on the input and on the output. The aim of the controller is to ensure a comfortable lockup and to avoid the stall of the engine as well as to reduce the engagement time. Numerical results show the good performance of the MPC with constrains in overcoming critical operating conditions. Comparisons with similar state-of-the-art works are also shown. |
| Databáze: | OpenAIRE |
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