Fuel Consumption Estimation of Cruise Phase Based on Fuzzy Control

Abstract

Aiming at the problem of gas emissions from commercial airliner, an approximate engineering method is proposed. Based on the analysis of flight data and taking the minimize fuel as a performance indicator, through the analysis of the relationship between fuel consumption and various factors, a fuel consumption prediction model is mentioned, which is based on the cross-validation fuzzy neural network model. This model is suitable for solving the nonlinear problem of fuel consumption. Using the network model to filter out better dataset and conduct network training to predict flight fuel consumption. The result shows that the optimization scheme can predict the fuel consumption of passenger aircraft and provide reference value for energy saving and emission reduction technology research.