吉林大学学报（信息科学版）2016，Vol.34Issue(2)：218-228,11.
基于NARX的SI发动机空燃比非线性模型预测控制
NARX Model Based Nonlinear Model Predict Control for Air-Fuel Ratio of SI Engines
赵谨 1石屹然 1石要武1
作者信息
- 1. 吉林大学 通信工程学院，长春130022
- 折叠
摘要
Abstract
For SI( Spark Ignition)engine AFR( Air-Fuel Ratio)control system,the NMPC( Nonlinear Model Predict Control)method based on the NARX( Nonlinear Auto Regressive model with eXogenous inputs)model is developed. First the algorithm of recursive least squares is used to identify the NARX model. And then use the method of non-linear model to predict control in SI engine. This method has high prediction accuracy,and the optimal control sequence. Thus it improves the SI engine AFR control performance. Finally,the control system is evaluated using a widely used SI engine benchmark model which is Mean engine model by using Matlab,and compared with the PI( Proportional Integral)controller algorithm which current widespread use of car and Volterra model. Simulation results demonstrate the effectiveness of the NARX model based nonlinear model predict control.关键词
NARX模型/模型辨识/非线性模型预测控制/空燃比Key words
nonlinear auto regressive model with eXogenous inputs(NARX)model/identification of model/nonlinear model predictive control/air-fuel ratio分类
信息技术与安全科学引用本文复制引用
赵谨,石屹然,石要武..基于NARX的SI发动机空燃比非线性模型预测控制[J].吉林大学学报（信息科学版）,2016,34(2):218-228,11.
