Abstract:

According to the diversity of launch conditions a neural network PID (Proportion Integration Differentiation) controller is designed through the clutch speed tracking control. Keeping the engine running, the controller makes the launch process of the AMT (Automatic Manual Transmission) vehicle smooth and fast. In order to verify the neural network PID controller's effectiveness, a powertrain model of a medium-sized truck about AMT vehicles is established. The model includes the engine, the clutch, the transmission, the main reducing gear and wheels. And simulations are carried out in various working conditions according to the actual situation. Comparing the performance to the traditional PID controller's and analyzing the results of simulations, the neural network PID controller provides the good performance during AMT vehicles launch progress and has good adaptability in various working conditions.

Key words: automatic manual transmission(AMT), dry clutch, launch control, neural network proportion integration differentiation (PID)