摘要
为了更准确预测喷油系统的喷射规律,基于气泡模型,建立气液两相条件下的柴油机喷油系统模型,构造基于最小二乘法的适应度函数,采用并行改进遗传算法实现了对柴油机喷油系统模型的参数辨识,并应用回归分析方法建立未知参数的回归方程,从而最终建立两相条件下的柴油机喷油系统模型。仿真结果与试验数据的比较表明建立的气液两相条件下的柴油机喷油系统模型是可行的、有效的。
In order to predict the injection rate more accurately, based on the gas bubble model, the model of diesel injection system under gas-liquid two-phase condition was established. The parameter optimization of the diesel injection system model was realized using improved paratlel genetic algorithms, fitness function was built based on the least square method, and the regression equations of unknown parameters were obtained with the mathematical method of regression analysis, and so the model of diesel injection system of parameter identification was carried out. Comparisons between simulation results and experimental data show that the model of diesel injection system under gas-liquid two-phase condition is feasible and effective.
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第2期558-563,共6页
Journal of Central South University:Science and Technology
基金
凡舟基金资助项目(20031305)
关键词
柴油机
喷油系统
气泡模型
遗传算法
参数辨识
diesel engine
fuel injection system
gas bubble model
genetic algorithms
parameter identification
