Modified volterra model based nonlinear model predicting control for air-fuel ratio of SI engines

被引：0

作者：

Shi, Yi-Ran ^{[1
]}

Tian, Yan-Tao ^{[1
]}

Shi, Hong-Wei ^{[2
]}

Zhang, Li ^{[3
]}

机构：

[1] College of Communication Engineering, Jilin University, Changchun 130022, China

[2] College of Electrical and Electronic Engineering, Changchun University of Technology, Changchun 130012, China

[3] College of Zhuhai, Jilin University, Zhuhai 519041, China

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2014年 / 44卷 / 02期

关键词：

Air engines - Engine cylinders - Model predictive control - Fuels - Automation - Nonlinear systems - MIMO systems;

D O I：

10.13229/j.cnki.jdxbgxb201402041

中图分类号：

学科分类号：

摘要：

The control of the Air-Fuel Ratio (AFR) for SI engines is investigated. First, the traditional Volterra model is improved, and a modified multi-input multi-output Volterra model with variable sampling intervals is proposed. This model is employed to achieve engine AFR adaptive modeling online. Then, on this basis, a nonlinear model predicting control method based on the modified Volterra model is developed. Finally, using Matlab, simulation of the proposed control model is carried out with a widely accepted SI engine benchmark, and compared with the currently used PI controller algorithm. The results show that the proposed method is effective.

引用

页码：538 / 547

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