基于遗传算法的准维燃烧模型修正方法  

Quasi-dimensional Combustion Model Updating Method Based on Genetic Algorithm

作　　者：王宪成[1] 胡俊彪[1] 何星[1] 刘国浩[1] 王琳 

机构地区：[1]装甲兵工程学院机械工程系 [2]63963部队

出　　处：《装甲兵工程学院学报》2013年第1期27-31,共5页Journal of Academy of Armored Force Engineering

基　　金：军队科研计划项目

摘　　要：针对目前准维燃烧模型不能客观反映高原柴油机工作过程的问题,提出了一种基于计算机智能仿真模型修正方法。采用正交试验的极差分析,计算并识别出准维燃烧模型的经验参数对柴油机性能影响的主次顺序,并确定为待修正参数。基于遗传算法,以试验数据为依据,对柴油机准维燃烧模型进行修正。修正后的柴油机工作过程模型误差在4%以内,为深入开展高原环境柴油机性能研究奠定了基础。Because the existing quasi-dimensional combustion model cannot describe the working process of plateau diesel engine objectively,a simulation model updating method is proposed based on computer intelligence.Based on range analysis results of orthogonal experiments,sensitivity analysis of an engine is made to show the influence of quasi-dimensional combustion model empirical parameters on engine performance.The main empirical parameters determining engine performance are identified and confirmed as correction object.Based on genetic algorithm and experimental data,the quasi-dimensional combustion model is corrected.The model error of corrected working process model for engine is less than 4%,laying a foundation for follow-up engine performance analysis in highland.

关 键 词：柴油机 工作过程 遗传算法 模型修正 

分 类 号：TK421+.2[动力工程及工程热物理—动力机械及工程]