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An ANFIS solution for Real-time control of the EGR&VGT in a diesel engine
journal contribution
posted on 2023-06-09, 01:02 authored by Zhijun Peng, Li Cheng, William WangWilliam Wang, Bo Gao, Abdel AitoucheAn 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.
Funding
SCODECE - Smart COntrol and Diagnosis for Economic and Clean Engines.(Interreg 2 Seas); G0271; EUROPEAN UNION; 05-025-SCODECE
History
Publication status
- Published
File Version
- Published version
Journal
Advanced Materials ResearchISSN
1022-6680Publisher
Trans Tech PublicationsVolume
732Page range
1222-1225Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes