A Diesel Engine Combustion Phasing Optimization Using A Model Guided Extremum Seeking Approach

被引：0
|
作者：
Tan, Qingyuan [1 ]
Divekar, Prasad [2 ]
Tan, Ying [3 ]
Chen, Xiang [1 ]
Zheng, Ming [2 ]
机构：
[1] Univ Windsor, Dept Elect & Comp Engn, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada
[2] Univ Windsor, Dept Mech Automot & Mat Engn, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada
[3] Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3010, Australia
来源：
PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年
关键词：
Optimization; Extremum seeking; Engine; Combustion phasing; SYSTEMS;
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：
Optimization of control inputs is of importance for the deployment of powertrain calibrations. In this work, a model guided extremum seeking optimization approach is proposed for the combustion phasing optimization on a diesel engine. The optimization target is to achieve the best compromise between NOx emissions and engine thermal efficiency under certain operating conditions. This work first proposed a 'virtual calibration' process that is applied on a simplified first-principle engine model. Initialized by the obtained 'virtual optimal' parameters, extremum seeking approach is implemented for system online optimization. By adopting this approach, it is likely that the development time and effort associated with engine control calibration can be reduced. Simulations were performed to validate the proposed concept.
引用
收藏
页码：2837 / 2842
页数：6
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