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

作　　者：吴壮文[1] 高龙士[1] 石小利[1] 胡大宏[2] 

机构地区：[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

出　　处：《机械科学与技术》2011年第8期1322-1325,共4页Mechanical Science and Technology for Aerospace Engineering

基　　金：2010年绍兴市教育科学项目(sgj10043)资助

摘　　要：汽油机控制策略优化可提高发动机燃油经济性并降低排放。这类优化问题涉及多个相互冲突的优化目标和非线性约束,是典型的多目标优化问题。采用多目标遗传算法求解该优化问题的Pareto最优解集,并对某1.8 L独立点火的4缸MPI发动机的优化结果进行比较分析。结果表明,应用该方法可找到多组可行解,在满足原车动力性要求的前提下能有效提高燃油经济性,降低排放。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 

分 类 号：U464.11[机械工程—车辆工程]