• DocumentCode
    2124685
  • Title

    Observer-based control of an electro-pneumatic clutch using extended linearisation techniques

  • Author

    Aschemann, Harald ; Schindele, Dominik ; Prabel, Robert

  • Author_Institution
    Dept. of Mechatron., Univ. of Rostock, Rostock, Germany
  • fYear
    2012
  • fDate
    27-30 Aug. 2012
  • Firstpage
    493
  • Lastpage
    498
  • Abstract
    This paper presents a non-linear model-based control design for an electro-pneumatic clutch for heavy trucks, which is required at start-up or during gear shifts to disconnect the combustion engine from the gear box. This automated actuator disburdens the driver and provides the necessary actuation force according to the large torque transmitted through the power train. The proposed control structure consists of a combined gain-scheduled feedforward and feedback control law with the clutch position as controlled variable, which are both designed based on extended linearisation techniques. A reduced-order observer estimates the internal pressure and contributes to steady-state accuracy. Moreover, a recursive least-squares estimation is used within a disturbance compensation scheme. Thereby, high tracking accuracy is achievable for the piston position as controlled variable. The efficiency of the proposed control structure is demonstrated by experimental results from a dedicated test rig.
  • Keywords
    clutches; electropneumatic control equipment; feedback; feedforward; gears; linearisation techniques; nonlinear control systems; observers; reduced order systems; torque control; actuation force; automated actuator; clutch position; combustion engine; disturbance compensation scheme; electro-pneumatic clutch; feedback control; gain-scheduled feedforward control; gear box; gear shift; heavy truck; internal pressure; linearisation technique; nonlinear model-based control design; observer-based control; piston position; power train; recursive least-squares estimation; reduced-order observer; torque; tracking accuracy; Equations; Feedforward neural networks; Force; Mathematical model; Observers; Pistons; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2012 17th International Conference on
  • Conference_Location
    Miedzyzdrojie
  • Print_ISBN
    978-1-4673-2121-1
  • Type

    conf

  • DOI
    10.1109/MMAR.2012.6347869
  • Filename
    6347869