Gear Shifting Based on MIMO Model Predictive Control for Convenient Adjustment of Shifting Performance

Abstract

When shifting gears, it is necessary to properly adjust the gear shift time and the Maximum Variation of Output shaft Torque (MVOT) which are related to gear shift performance. At this time, the gear shift time and MVOT are related to the clutch slip speed and the output shaft torque, which can be controlled by the engine torque and clutch torque. Therefore, in order to adjust the gear shift performance, it is necessary to perform Multi-Input-Multi-Output (MIMO) control. In MIMO control, the system output is the clutch slip speed and output shaft torque, and the system input is the engine torque and clutch torque. In the past, several trajectories of the engine torque and clutch torque have been generated heuristically to adjust the gear shift performance. Therefore, a MIMO control method that is capable of adjusting the gear shift performance conveniently with a few tuning parameters during gear shifting is needed. In this study, a gear shift controller for generating target driveline torque (engine and clutch torque) based on MIMO model predictive control that can adjust the gear shift performance with only one tuning parameter is proposed. The gear shift controller proposed in this study is verified experimentally on a test bench equipped with a production dual-clutch transmission.