A Method of Rescue Flight Path Plan Correction Based on the Fusion of Predicted Low-altitude Wind Data

  • Ming Zhang Nanjing University of Aeronautics and Astronautics
  • Shuo Wang Nanjing University of Aeronautics and Astronautics
  • Hui Yu Nanjing University of Aeronautics and Astronautics
DOI: https://doi.org/10.7307/ptt.v28i5.1939
Keywords: low-altitude rescue, flight path correction, meteorological prediction model, unscented Kalman filter,

Abstract

This study proposes a low-altitude wind prediction model for correcting the flight path plans of low-altitude aircraft. To solve large errors in numerical weather prediction (NWP) data and the inapplicability of high-altitude meteorological data to low altitude conditions, the model fuses the low-altitude lattice prediction data and the observation data of a specified ground international exchange station through the unscented Kalman filter (UKF)-based NWP interpretation technology to acquire the predicted low-altitude wind data. Subsequently, the model corrects the arrival times at the route points by combining the performance parameters of the aircraft according to the principle of velocity vector composition. Simulation experiment shows that the RMSEs of wind speed and direction acquired with the UKF prediction method are reduced by 12.88% and 17.50%, respectively, compared with the values obtained with the traditional Kalman filter prediction method. The proposed prediction model thus improves the accuracy of flight path planning in terms of time and space.

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Ming Zhang, Nanjing University of Aeronautics and Astronautics
Dr Ming Zhang is associate professor of Nanjing University of Aeronautics and Astronautics (Nanjing, China). As a visiting scholar of USF, he visit Dr. Zhang’s research group from Aug.2014 to Aug.2015.He obtained his B.E. in mechanical engineering in 1997 from NUAA. He obtained his master degree and Ph.D. in 2003 and 2010 from NUAA.His research interests focus on dynamic airspace configuration, airspace and airfield capacity and delay, and general aviation rescue system in air transportation.
Shuo Wang, Nanjing University of Aeronautics and Astronautics
Shuo Wang is graduate student of NUAA.His research interests focus on general aviation rescue system in air transportation.
Hui Yu, Nanjing University of Aeronautics and Astronautics
She is graduate student of NUAA.His research interests focus on general aviation rescue system in air transportation.

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Published
2016-10-26
How to Cite
1.
Zhang M, Wang S, Yu H. A Method of Rescue Flight Path Plan Correction Based on the Fusion of Predicted Low-altitude Wind Data. Promet [Internet]. 2016Oct.26 [cited 2024Apr.24];28(5):479-85. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/1939
Issue
Vol 28 No 5 (2016)
Section
Articles

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