An ANFIS Solution for Real-Time Control of the EGR & VGT in a Diesel Engine

被引：2
|
作者：
Peng, Zhijun [1 ]
Cheng, Li [1 ]
Wang, Weiji [1 ]
Gao, Bo [2 ]
Aitouche, Abdel [3 ]
机构：
[1] Univ Sussex, Sch Engn & Informat, Brighton BN1 9RH, E Sussex, England
[2] AVL Powertrain UK, Dunton, Esses, England
[3] LAGIS, France & Automat Control Lab, Villeneuve Dascq, France
来源：
THERMAL, POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2 | 2013年 / 732-733卷
关键词：
ANFIS controller; fuzzy logic controller; EGR control; VGT control; diesel engine; SYSTEM; AIR;
D O I：
10.4028/www.scientific.net/AMR.732-733.1222
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
An ANFIS (Adaptive neuro-fuzzy inference system) controller which bases on Takagi-Sugeno's method and combines the advantages of neural controller and fuzzy multi-variable controller has been studied and developed for the real-time control of EGR and VGT in a diesel engine. In the AVL-BOOST and Matlab/Simulink co-simulation environment, the control performance of ANFIS controller has been compared with those optimal control strategies based on a fuzzy logic controller. Results show the new controller can have more active control to EGR position and the optimal emission levels can be maintained.
引用
收藏
页码：1222 / +
页数：2
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