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基于多目标遗传算法的汽油发动机控制策略优化

吴壮文 高龙士 石小利 胡大宏

机械科学与技术2011,Vol.30Issue(8):1322-1325,4.
机械科学与技术2011,Vol.30Issue(8):1322-1325,4.

基于多目标遗传算法的汽油发动机控制策略优化

Optimization of the Control Stratgey for a Gasoline Engine Based on Multi-objective Genetic Algorithms

吴壮文 1高龙士 1石小利 1胡大宏2

作者信息

  • 1. 浙江工业职业技术学院,绍兴312000
  • 2. 浙江交通技师学院,金华321000
  • 折叠

摘要

Abstract

Optimization of the control stratgey for a gasoline engine can improve its fuel economy and reduce its e- mission. It involves several conflicting optimization objectives and nonlinear constraints. Therefore, it is a typical multi-objective optimization problem. In this paper, the multi-objective genetic algorithms are used to find the Pare- to-optimal solution set, and a 1.8 L-MPI independent ignition 4-cylinder engine is utilized to evaluate the results of optimization. The results demonstrate that the proposed approach can find many feasible solutions to improve fuel economy and reduce emission without worsening power performance.

关键词

汽油机/多目标遗传算法/控制策略/Pareto最优解集

Key words

gasoline engine/multi-objective genetic algorithms/Control stratgey/Pareto-optimal set

分类

交通工程

引用本文复制引用

吴壮文,高龙士,石小利,胡大宏..基于多目标遗传算法的汽油发动机控制策略优化[J].机械科学与技术,2011,30(8):1322-1325,4.

基金项目

2010年绍兴市教育科学项目(sgj10043)资助 ()

机械科学与技术

OA北大核心CSCDCSTPCD

1003-8728

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