| 胡春明，王旸,王齐英,刘娜，魏石峰.基于BP神经网络进气预估的汽油机瞬态空燃比控制研究[J].内燃机工程,2018,39(2):1-8. |
| Research on Gasoline Engine Transient Air Fuel Ratio Control Based on Back Propagation Neural Network for Intake Estimation |
| DOI： |
| Key Words:IC engine transient condition air fuel ratio control BP neural network air intake estimation fuel film compensation |
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| 摘要点击次数: 2878 |
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| Abstract:To develop the control of the transient air-fuel ratio of a single-cylinder motorcycle engine of large displacement, an intake quantity estimating model based on back propagation (BP) neural network and a fuel film compensation model were built with the Matlab/Simulink, and the simulation of air-fuel ratio control was conducted with the two models. The results indicate that the intake quantity estimating model can limit the overshoot of air-fuel ratio to less than 10%, and resume the mixture to homogeneous equivalence ratio in 1.4 s, avoiding the concussion that generally takes place in conventional proportion integration differentiation control. This illustrates that the air-fuel ratio control based on transient air flow prediction works well. Its combination with the fuel film compensation can make the air-fuel ratio overshoot decline to less than 5% and the mixture resume to homogeneous equivalence ratio in 1.2 s. This shows that the introduction of fuel film compensation algorithm can significantly decrease the impact of dynamic fuel-transmission characteristic, improving the precision of air-fuel ratio control. |
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