Comparative Research Transient Air-Fuel Ratio Control Strategy Based on Fuzzy Control and Neural Network

Long Wu; Jian Jun Liu

doi:10.4028/www.scientific.net/AMM.643.66

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 643Comparative Research Transient Air-Fuel Ratio...

Comparative Research Transient Air-Fuel Ratio Control Strategy Based on Fuzzy Control and Neural Network

Abstract:

Due to engine performance, fuel economy and emission performance are closely related with its transient air-fuel ratio, so the research of the engine air-fuel ratio control strategy is particularly important. The control strategies for neural network control, fuzzy control are introduced systemically, which can be well applied to the complicated nonlinear control system. The analysis compares the different control strategies in the role of air-fuel ratio control system, the transient air-fuel ratio control for the future to provide certain reference basis.

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Periodical:

Applied Mechanics and Materials (Volume 643)

Pages:

66-71

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.643.66

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Online since:

September 2014

Authors:

Long Wu, Jian Jun Liu*

Keywords:

Control Strategy, Fuzzy Control, Neural Network (NN), Transient Air-Fuel Ratio

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* - Corresponding Author

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