Offline model predictive control approach to micro-slip control in gearshifts of dual clutch transmission

Abstract

Dual clutch transmission can avoid some noise vibration and harshness issues caused by other transmissions with single clutch. And applying micro-slip control on clutches can further improve the gearshift performance of transmission compared to the lock-up control. Considering the real-time characteristic of vehicle control, an offline model predictive controller designed by multi-parameter quadratic programming was creatively applied in dual clutch transmission to obtain both clutch torque at the same time with optimal control algorithm. In this way, while realizing the micro-slip state of the clutches, the fast response speed can be realized through the off-line controller, which makes it more feasible and practical for transmission control. A six degrees of freedom vehicle powertrain system model was built in MATLAB/Simulink to simulate the proposed control algorithm. The simulation results show that the micro-slip control avoid the negative torque compared to the lock-up control, which leads to a smoother shift process. In addition, compared with the proportional–integral–derivative micro-slip controller, the offline model predictive controller can achieve more stable control effects with less output torque fluctuation and shorter gearshift time.

Analysis of the Influence of a Powertrain Mounting System on a Dual-Clutch Transmission Vehicle under Typical Working Conditions

“…Pisaturo et al [7] studied the influence of thermal effects on the response of dry clutch system through the friction coefficient diagram and lumped thermal model obtained from the clutch facings testing. Wang et al [8] improved the shift performance of the transmission by using an off-line model predictive controller on the clutch to make the shift process more stable. Hao et al [9] established a nonlinear clutch-friction torque model and analyzed the influence of clutch jitter on the vehicle's riding comfort.…”