An ANFIS Solution for Real-Time Control ...
Document type :
Communication dans un congrès avec actes
Title :
An ANFIS Solution for Real-Time Control of the EGR & VGT in a Diesel Engine
Author(s) :
Peng, Zhijun [Auteur correspondant]
Li, Cheng [Auteur]
Weijii, Wang [Auteur]
Bo, Gao [Auteur]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Li, Cheng [Auteur]
Weijii, Wang [Auteur]
Bo, Gao [Auteur]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Conference title :
2nd International Conference on Energy and Environment Protection (ECEEP)
City :
Guilin
Country :
Chine
Start date of the conference :
2013-04-21
Book title :
2nd International Conference on Energy and Environment Protection
Publication date :
2013-04-21
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
European Project :
Collections :
Source :