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Control of Gear Ratio and Slip in Continuously Variable Transmissions: A Model Predictive Control Approach
ISSN: 0148-7191, e-ISSN: 2688-3627
Published March 28, 2017 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
The efficiency of power transmission through a Van Doorne type Continuously Variable Transmission (CVT) can be improved by allowing a small amount of relative slip between the engine and driveline side pulleys. However, excessive slip must be avoided to prevent transmission wear and damage. To enable fuel economy improvements without compromising drivability, a CVT control system must ensure accurate tracking of the gear ratio set-point while satisfying pointwise-in-time constraints on the slip, enforcing limits on the pulley forces, and counteracting driveline side and engine side disturbances.
In this paper, the CVT control problem is approached from the perspective of Model Predictive Control (MPC). To develop an MPC controller, a low order nonlinear model of the CVT is established. This model is linearized at a selected operating point, and the resulting linear model is extended with extra states to ensure zero steady-state error when tracking constant set-points. The design of an MPC controller is then described. Finally, simulation results on the nonlinear CVT model are presented, which illustrate accurate tracking of the gear ratio set-points by the controller while maintaining the slip within the permitted range and counteracting the driveline side and engine side disturbances that are representative of a real vehicle. Design choices are described and compared using nonlinear CVT model simulations, demonstrating that tracking slip set-points in addition to tracking the gear-ratio can improve closed-loop performance.
CitationDunham, W., Seok, J., Chen, W., Dai, E. et al., "Control of Gear Ratio and Slip in Continuously Variable Transmissions: A Model Predictive Control Approach," SAE Technical Paper 2017-01-1104, 2017, https://doi.org/10.4271/2017-01-1104.
Data Sets - Support Documents
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