Title :
Rail pressure control of common rail diesel engine based on RBF neural network adaptive PID controller
Author :
Zhongming Ji ; Xuan Xie ; Zhiqiang Sun ; Peizhi Chen
Author_Institution :
Sch. of Autom., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
The model of high pressure common rail system is designed and studied. In this paper, we propose a PID controller based on RBF neural network, and the corresponding control program is carried out under Matlab environment. When compared with traditional PID controller, RBF based PID controller shows its superiority having better dynamic response.
Keywords :
adaptive control; diesel engines; neurocontrollers; pressure control; radial basis function networks; railways; three-term control; Matlab environment; RBF neural network adaptive PID controller; common rail diesel engine; rail pressure control; Diesel engines; Fuels; Mathematical model; Pressure control; Pulse width modulation; Rails; Valves; RBF based PID controller; common rail; control valve; pressure control;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023292
