• DocumentCode
    3194592
  • Title

    Speed control for automated manual transmission with dry clutch

  • Author

    Glielmo, Luigi ; Iannelli, Luigi ; Vacca, Vladimiro ; Vasca, Francesco

  • Author_Institution
    Dipt. di Ingegneria, Univ. degli Studi del Sannio, Benevento, Italy
  • Volume
    2
  • fYear
    2004
  • fDate
    14-17 Dec. 2004
  • Firstpage
    1709
  • Abstract
    Automated manual transmissions (AMTs) with dry clutches are becoming more and more used as an improving add-on solution on classical manual transmission systems and as a reconfiguration element in modern hybrid electric vehicles. Due to the two possible states of the clutch (engaged or not) and to the different gear ratios AMTs can be considered as a particular class of the hybrid systems. The paper presents a gearshift control strategy for modern AMTs. Models of the driveline, of an electrohydraulic engagement actuator and of the dry clutch are detailed and tuned on experimental data. The controller is designed through a hierarchical approach by discriminating among five different AMT operating conditions: engaged, slipping-opening, synchronization, go-to-slipping and slipping-closing. Three cascaded feedback loops are designed respectively on speeds, torques and throwout bearing position. Simulation results on a gasoline 2.4 FIAT STILO car show the effectiveness of the proposed controller.
  • Keywords
    clutches; electrohydraulic control equipment; hybrid electric vehicles; torque control; variable speed gear; velocity control; 4 FIAT STILO car; automated manual transmission; cascaded feedback loops; dry clutch; electrohydraulic engagement actuator; gearshift control strategy; hierarchical approach; hybrid electric vehicles; speed control; throwout bearing position; torques; Actuators; Automatic control; Automotive engineering; Electrohydraulics; Feedback loop; Flywheels; Hybrid electric vehicles; Internal combustion engines; Production; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1430290
  • Filename
    1430290