University of Sussex
Browse

File(s) under permanent embargo

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 Aitouche
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.

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 Research

ISSN

1022-6680

Publisher

Trans Tech Publications

Volume

732

Page range

1222-1225

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2016-04-27

First Compliant Deposit (FCD) Date

2016-04-27

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC