A low-complexity explicit MPC controller for AFR control

被引：12

作者：

Honek, Marek ^{[1
]}

Kvasnica, Michal ^{[2
]}

Szucs, Alexander ^{[2
]}

Simoncic, Peter ^{[1
]}

Fikar, Miroslav ^{[2
]}

Rohal'-Ilkiv, Boris ^{[1
]}

机构：

[1] Slovak Univ Technol Bratislava, Inst Automat Measurement & Appl Informat, Fac Mech Engn, Bratislava 81231, Slovakia

[2] Slovak Univ Technol Bratislava, Inst Automat Informat Engn & Math, Fac Chem & Food Technol, Bratislava 81231, Slovakia

来源：

CONTROL ENGINEERING PRACTICE | 2015年 / 42卷

关键词：

Gasoline engine; Air/Fuel ratio control; Identification; Explicit Model Predictive Control;

D O I：

10.1016/j.conengprac.2015.05.009

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Control of the air-fuel ratio in combustion engines is of imminent importance when aiming at reduction of the fuel consumption and mitigation of emissions. In this paper this is achieved by employing Model Predictive Control (MPC), which keeps the air-fuel ratio close to the stoichiometric value. The real-time implementation of MPC is accelerated by pre-computing the optimal solution and using the explicit MPC approach. The memory footprint of such a controller is subsequently reduced by employing a two-layered compression scheme. Quality of the regulation is demonstrated using real engine data and is compared to traditional control approach based on PID. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：118 / 127

页数：10

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