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Masters_Thesis_Matt_Barr.pdf (5.15 MB)

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Dynamic Modeling, Friction Parameter Estimation, and Control of a Dual Clutch Transmission

Barr, Matthew Phillip
http://rave.ohiolink.edu/etdc/view?acc_num=osu1397745325

Abstract Details

2014, Master of Science, Ohio State University, Mechanical Engineering.
In this thesis, a mathematical model of an automotive powertrain featuring a wet dual clutch transmission is developed. The overall model is comprised of models that describe the dynamic behavior of the engine, the transmission mechanical components, the hydraulic actuation components, and the vehicle and driveline. A lumped-parameter model, that incorporates fluid film dynamics and a simplified thermal model, is used to describe wet clutch friction. The model of the hydraulic actuation system includes detailed models of the clutch and synchronizer actuation subsystems. A simulation of the dynamic powertrain model is built using AMEsim and MATLAB/Simulink. The powertrain simulator is used to demonstrate how changes in transmission parameters affect the quality of clutch-to-clutch shifts and the overall dynamic response of the powertrain. Based on this model, measurements of clutch pressure and the rotational speeds and estimated accelerations at the input and output sides of the clutch are used in the design of a friction parameter estimation scheme that can be implemented offline using past simulation data or online using current simulation signals. For both offline and online cases, simulation results demonstrate that friction parameters are estimated with reasonable accuracy. An integrated powertrain controller is developed with a model-based feedforward controller and multiple feedback loops. The feedforward controller, which generates a pressure command to either clutch, is developed by inverting a simplified model of the powertrain, and using a static friction model to relate clutch pressure to friction torque. The inputs to the feedforward controller are speeds and estimated accelerations of the engine and clutches. The feedforward controller adapts to changes in friction characteristics by updating the friction parameters used in the static friction model using the values generated by the estimation scheme. The feedback controller contains loops that control clutch slip and engine speed by manipulating clutch pressure, throttle angle, and spark advance. Simulation results for the proposed controller demonstrate that for upshifts, the adaptation of the feedforward controller to varying friction parameters results in improved shift quality relative to the non-adaptive case where the friction parameters input to the feedforward controller are not varied along with the simulated friction characteristics.
Krishnaswamy Srinivasan (Advisor)
Shawn Midlam-Mohler (Committee Member)
210 p.
Automotive Engineering; Mechanical Engineering
dynamic modeling; dual clutch transmission; DCT; automatic transmission; co-simulation; friction parameter estimation; clutch slip control; integrated powertrain control; shift control

Recommended Citations

Citations

  • Barr, M. P. (2014). Dynamic Modeling, Friction Parameter Estimation, and Control of a Dual Clutch Transmission [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397745325

    APA Style (7th edition)

  • Barr, Matthew. Dynamic Modeling, Friction Parameter Estimation, and Control of a Dual Clutch Transmission. 2014. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1397745325.

    MLA Style (8th edition)

  • Barr, Matthew. "Dynamic Modeling, Friction Parameter Estimation, and Control of a Dual Clutch Transmission." Master's thesis, Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1397745325

    Chicago Manual of Style (17th edition)

osu1397745325
10,105
© 2014, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.