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

Author

Li Xiao Jun ; Zhang Cheng Rui ; Li Hong Bin

Author_Institution

Shandong Univ., Shandong

fYear

2006

fDate

13-15 Dec. 2006

Firstpage

232

Lastpage

235

Abstract

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.

Keywords

adaptive control; clutches; control engineering computing; mechanical engineering computing; neurocontrollers; nonlinear control systems; pneumatic control equipment; three-term control; vehicles; heavy truck electronic pneumatic mechanical clutch control; neural network PID controller; nonlinear control; online self-tuning; Automatic control; Control systems; Costs; Displacement control; Electric variables control; Neural networks; Space vector pulse width modulation; Switches; Three-term control; Valves; Pneumatic clutch; neural network PID; nonlinear; online tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Electronics and Safety, 2006. ICVES 2006. IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-0759-1

Electronic_ISBN

1-4244-0759-1

Type

conf

DOI

10.1109/ICVES.2006.371589

Filename

4234025