Electronic Pneumatic Clutch Control of the Heavy Truck based on Neural Network PID

Pneumatic clutch system of heavy truck is nonlinear and its state parameters are variable. The common PID controller is difficult to obtain good performance. Neural network is adopted to tune the PID parameter online. The output of neural network is used to adjust the PID controller parameter and the controller adjusts the pulse width to control the displacement of the clutch. The experimental result demonstrates the algorithm can obtain good control performance.