基于UEGO的柴油机EGR系统的模型辨识  

System Identification of Diesel EGR Based on UEGO

作　　者：刘瑞祥[1] 高希彦[2] 

机构地区：[1]山东理工大学交通与车辆工程学院,255049 [2]大连理工大学内燃机研究所,160024

出　　处：《农业装备与车辆工程》2005年第11期24-26,36,共4页Agricultural Equipment & Vehicle Engineering

摘　　要：由于EGR系统存在严重的非线性、较大的时延和复杂的进排气动力特性,为了达到满意的控制效果,用伪随机二进制信号对系统进行了辨识。在大量预试验的基础上,对具有代表性的2种工况进行了系统辨识,得到了受控的自回归模型。模型降阶后得到2个具有时延的2阶模型。用交叉检验法检验了模型,检验结果表明模型完全可用于控制器的设计。The main issue is system identification with pseudo random binary signal of the EGR system with nonlinearities, time delays, and the effects of complex intake and exhaust gas dynamics. After extensive measurements two ARX models corresponding to two principal conditions are identified. The two order transfer functions with the time delays corresponding to two identified models are obtained. The model's properties are evaluated with validation data sets. The results show that the models are good approximation of the system dynamics.

关 键 词：柴油机 EGR 系统辨识 模型 

分 类 号：TK421[动力工程及工程热物理—动力机械及工程] TP27[自动化与计算机技术—检测技术与自动化装置]