Title :
Research on rail pressure control of diesel engine based on genetic algorithm nonlinear PID
Author :
Ren, WeiJun ; Shi, XianXin ; Jiao, ShengJie ; Zhu, ChangJian ; Zhang, Qiong
Author_Institution :
Sch. of Inf. Eng., Chang´´an Univ., Xi´´an, China
Abstract :
The performance of high pressure common-rail fuel injection system is influenced severely by the adjustment and stability of rail pressure in certain operating condition. A Nonlinear PID is designed to the control of pressure in the common rail. The optimal rail pressure control under different conditions is realized by online genetic algorithm adjustment of PID parameters. The control strategy and realizing means are introduced. The bench test results show that the pressure in common rail is kept at no more than 1.5% fluctuation range.
Keywords :
diesel engines; fuel systems; genetic algorithms; nonlinear control systems; optimal control; pressure control; stability; three-term control; PID parameter; diesel engine; high pressure common-rail fuel injection system; nonlinear PID; online genetic algorithm; optimal rail pressure control; stability; Engines; Equations; Fuels; Genetic algorithms; Mathematical model; Pressure control; Rails; diesel engine; genetic tuning algorithm; nonlinear PID; strategy and mean;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5953172