Design and Analysis of Shift Integrated Learning Controller for Dual Clutch Transmission
In order to improve the stability of vehicle operation,a dual-clutch DCT gearbox shift integrated learning controller is designed.The MPC controller is established based on the prediction model to compensate the torque to ensure the accurate tracking of the rotational speed.The results of the study show that:at 0.11 s,the upshift torque phase of the DCT starts to appear,the overall vehicle speed maintains a stable change trend,and the maximum value of the vehicle impact is 4.8 m/s3,which is conducive to greatly improving the stability of the gearshift.Compared with other control methods,the empirical knowledge-based MPC shifting scheme obtains better smoothness control effect,and the slip work is also reduced,so that the power response can be completed faster.This study helps to improve the automotive control and lays a theoretical foundation for the subsequent gearshift control.
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