Quantity Optimization of Aircraft Ground Deicing Equipment Based on Flight Dynamics

Authors

Bin Chen, Ground Support Equipment Research Base of Civil Aviation University of China, Tianjin 300300, China;
Liwen Wang, Ground Support Equipment Research Base of Civil Aviation University of China, Tianjin 300300, China;

Abstract

Abstract: Flight delays and deicing equipment parameter optimization questions were studied aiming at two kinds of typical airport. The formation mechanism of deicing flight delay queue was studied, and the flight delay queue model was proposed corresponding to the departure dynamics of triangle and parabolic shape function. An optimization model of deicing nozzle quantity demand for two typical flight departure dynamics was established aiming at minimizing the flight delay and deicing cost. The nozzle quantity demand optimization model was simulated and verified using deicing flight dynamic data of Beijing International Airport and Harbin Taiping Airport. Simulation results are close to actual data, and the error is less than 8.1%. It shows the accuracy of the models, which provides a reference for the optimization of the aircraft deicing nozzle.

Recommended Citation

Chen, Bin and Wang, Liwen (2019) "Quantity Optimization of Aircraft Ground Deicing Equipment Based on Flight Dynamics," Journal of System Simulation: Vol. 31: Iss. 4, Article 20.
DOI: 10.16182/j.issn1004731x.joss.17-0119
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss4/20

First Page

757

Revised Date

2017-05-29

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0119

Last Page

764

CLC

V351.392

Recommended Citation

Chen Bin, Wang Liwen. Quantity Optimization of Aircraft Ground Deicing Equipment Based on Flight Dynamics[J]. Journal of System Simulation, 2019, 31(4): 757-764.

DOI

10.16182/j.issn1004731x.joss.17-0119