Peng, Zhijun, Cheng, Li, Wang, William, Gao, Bo and Aitouche, Abdel (2013) An ANFIS solution for Real-time control of the EGR&VGT in a diesel engine. Advanced Materials Research, 732. pp. 1222-1225. ISSN 1022-6680

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Abstract

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.

Item Type:	Article
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL0001 Motor vehicles.Cycles
Depositing User:	Li Cheng
Date Deposited:	27 Apr 2016 10:51
Last Modified:	07 Mar 2017 07:03
URI:	http://srodev.sussex.ac.uk/id/eprint/60617

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