The Aircraft Fuel Estimation Model Based On Flight Data Analysis

Due to the fuel consumption cost control concerns the life and death of civil aviation transportation enterprises, the overseas and domestic airline companies start systemic research on fuel saving. However, the fuel cost in our country is 30% higher than the overseas company. How to improve the ability of the fuel cost control becomes an important topic of domestic Airline companies. To enhance the ability of fuel cost control, this paper analyzes the influence on fuel consumption model, and establishes the airplane fuel consumption estimating model, which can upgrade the precision of flight plan's fuel estimation, and reduce the fuel consumption cost..The airplane fuel consumption model is closely related to the airplane performance, the engine performance, the flight track and the meteorological condition. After introducing the relevant elementary knowledge, this paper reviews fuel consumption model based on the energy balance principle, which needs to inquire the performance graph. Nevertheless, it is difficult to obtain the performance data. In view of this causation, the paper proposes that training the BP network by using the flight data to recognize the fuel flow capacity model. Thereby, the plane's performance data is gained consequently, which means to acquire the fuel flow capacity much more easily.Because the existing model forecasts the entire flight course fuel consumption with difficulty, the flight course is divided into the taxi, takeoff and climb phases in this paper. We train the cruise and descending phases with different BP networks to recognize the different phase's fuel flow capacity. Adding all the fuel consumption of different phases we get the entire flight course fuel consumption.Considering the factors of meteorological, horizontal plane movement and the rate of speed change as the inputting parameters of the model established in this paper takes wind direction, wind speed, tilt, longitudinal acceleration and transverse acceleration into account. These factors make the forecasting fuel flow of the model much more close to the real flight fuel consumption data. The experimental indicates that the fuel consumption estimating model built up in this paper performing with high precision.