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.
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收藏
页码：538 / 547
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