基于神经网络的柴油机共轨系统轨压控制方法  

Control method Based on Neural-Network for rail Pressure control of Common Rail System in Diesel Engine

作　　者：尤丽华 安伟 张美娟[2] 

机构地区：[1]江南大学机械工程学院,江苏无锡214122 [2]无锡职业技术学院汽车系,江苏无锡214122

出　　处：《中国农机化》2009年第6期77-81,72,共6页Chinese Agricul Tural Mechanization

基　　金：国家科技支撑项目(2007BAF26B02);江苏省汽车工程重点实验室开放基金资助项目(QC200702)

摘　　要：通过系统建模仿真的方法研究了柴油机高压共轨系统轨压控制方法,提出采用神经网络模糊PID控制可以提高轨压的控制精度和系统响应性。在Matlab/Simulink环境下进行了模糊PID控制和神经网络模糊PID控制的仿真比较,证实了神经网络模糊PID控制方法使得系统控制精度、响应时间、扰动抑制、鲁棒特性都明显优于模糊PID控制方法。The control method was studied for rail pressure of common rail system of diesel engine by establishing the system＇s mathematical model and computer simulation. The neural - network fuzzy - PID control method was proposed to promote the control qualities and response speed. Simulation based on the Matlab/Simulink was made to both the neural - network fuzzy - PID controller and fuzzy - PID controller in the same condition, and the results was compared. It was proved that the neural - network fuzzy - PID controller has a better static accuracy, adaptability, robustness and a stronger anti -jamming ability compared with fuzzy PID controller by the simulation results.

关 键 词：共轨系统 轨压控制 变量泵 比例节流阀 神经网络模糊PID控制 

分 类 号：TK421[动力工程及工程热物理—动力机械及工程]