A Fuzzy Optimization Approach Designed for Calibrating the Fuel Injection Parameters of Turbocharged Diesel Engine

被引：0
|
作者：
Xia, Meng [1 ]
Zhao, Changlu [1 ]
Zhang, Fujun [1 ]
Huang, Ying [1 ]
Huang, Miandun [1 ]
机构：
[1] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2017) | 2017年 / 134卷
基金：
美国国家科学基金会;
关键词：
diesel engine; power recovery at plateau; fuzzy algorithm; fuel injection parameters;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to enhance the performance of turbocharged diesel engine working at plateau, a fuzzy optimization approach for calibrating the fuel injection parameters is proposed. Simulation model of a turbocharged intercooler diesel engine is built on the GT-POWER platform. Through analyzing the effect of fuel injection parameters on surge, turbine speed and turbine inlet temperature, the fuzzy optimization algorithm is set up on MATLAB/simulink platform. Fuzzy rules are developed according to the relationship between injection parameters and constraint conditions. Then the co-simulation between MATLAB and GT-POWER with four different initial conditions are carried out at the operation point of 4000m, 2100 r.min(-1). Simulation results show that the fuzzy optimization algorithm is feasible. No matter where the initial point locates, the result can converge to the optimum point. Besides, the rate power of the diesel engine is improved by 21% compared to that of the original, and brake specific fuel consumption declines 10% compared to that of the original.
引用
收藏
页码：169 / 173
页数：5
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