OPERATIVE CORRECTION OF AIRCRAFT TRAJECTORIES BASED ON AIRBORNE WEATHER RADARS INFORMATION

Authors

  • Yuliya Averyanova National Aviation University
  • Anna Rudiakova National Aviation University
  • Felix Yanovsky National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.85.15133

Keywords:

meteorological radar, AWR, flight trajectory optimization algorithm

Abstract

Trajectory prediction and optimization capabilities are considered as crucial part for efficient Air Traffic Management (ATM) operation. One of the key factors that influence onto trajectory prediction is weather situation at the departure and arrival points and along the flight route. In this context it is important to utilize widely systems of operative obtaining information about weather hazards for short-term flight trajectory correction. Airborne weather radars (AWR) are powerful and convenient tool for operative data obtaining during the aircraft flight when atmospheric and weather disturbances arise. In this paper possibilities of trajectory correction by providing accurate and operative meteorological data using the onboard radar system are shown and discussed.

Author Biographies

Yuliya Averyanova, National Aviation University

Doctor of Engineering. Associate Professor. Professor of Air Navigation Systems Department. IEEE Senior Member. Education: National Aviation University. Kyiv. Ukraine (1999).

Anna Rudiakova, National Aviation University

Ph.D. Associate Professor. Education: Donetsk State University. Donetsk. Ukraine (1997).

Felix Yanovsky, National Aviation University

DSc (Engineering), PhD, Professor. Department of Electronics, Robotics, Monitoring and IoT Technologies (ERMIT). IEEE Life Fellow. Education: Kyiv Institute of Civil Aviation Engineers (Dec.1968).

References

Global Air Navigation Plan 2016-2030. Available at: https://www.icao.int/airnavigation/documents/ganp-2016-interactive.pdf

J. M. Hoekstra, R.N.H.W. van Gent, R.C.J. Ruigrok, "Designing for Safety: the Free Flight Air Traffic Management concept," National Aerospace Laboratory NLR, Amsterdam, Netherlands. Available at: www.asas-tn.org › library › nlr › nlr_hessd99

Global TBO Concept. Available at:https://www.icao.int

U.S. Next Generation Air Transportation System (NextGen). Available at: https://www.icao.int

SESAR. Available at: https://www.sesar.eu/

ICAO International Standards and Recommended Practices (2016), Annex 3 to ICAO Convention "Meteorological Service of International Air Navigation" Issue18, ICAO, 180 p.

NextGeneration Air Transportation System. Available at: https://www.faa.gov/nextgen/what_is_nextgen/

Automatic Dependent Surveillance - Broadcast. Available at: https://www.faa.gov/nextgen/equipadsb/capabilities/ins_outs/

D. Klingle-Wilson, J. Evans, "Description of the Corridor Integrated Weather System (CIWS) Weather Products", Project Report ATC-317, Lincoln Laboratory Massachusetts Institute of Technology Lexington, Massachusetts, 2005

Traffic Flow Management System (TFMS), Reference Manual TSD Version 8.9 July 26, 2011

Route Availability Planning Tool, Massachusetts Institute of Technology,Lincoln Laboratory,244 Wood Street,Lexington,MA,02420-9108, 2012

H. D. Sherali, R.W. Staats, A.A. Trani, "An airspace planning and collaborative decision-making model: Part 1 - probabilistic conflicts, workload an equity considerations", Transp. Sci., vol.37, no.4, pp.434-456, 2003. https://doi.org/10.1287/trsc.37.4.434.23272

H. D. Sherali, R.W. Staats, A.A. Trani, "An airspace planning and collaborative decision-making model: Part II - cost model, data considerations and computations", Transp. Sci., vol.40, no.2, pp.147-164, 2006. https://doi.org/10.1287/trsc.1050.0141

Jun Tang, "Conflict detection and resolution for civil aviation^a literaly survay", IEEE Aerospace and Electronic Systems Magazine, Tutorial XIII, Volume, 34,#10, Part II of II, pp. 20-35. https://doi.org/10.1109/MAES.2019.2914986

Averyanova Yu. A. Interactive global network for meteorological data obtaining, exchange and dissiminations / Yu. A. Averyanova. -Visnyk. - К. : NAU, 2012. - Vol. 4. - P. 26-30 (In Ukrainian)

A.N. Rudiakova, Y.A. Averyanova, and F.J. Yanovsky, Operational Approach for Turbulence Intensity Estimation in Rain, Proc. of EuRad, 9-13 October, 2017, Nuremberg, Germany.

Yu.A. Averyanova, A.N. Rudiakova, F.J. Yanovsky, Multi-Polarization Approach to Operative Dangerous Atmospheric Phenomena Detection, Proceedings of the 5th Symposium on Microwaves, Radar and Remote Sensing, Kiev, Ukraine, August 29-31, 2017 https://doi.org/10.1109/MRRS.2017.8075073

Yu.A. Averyanova, A.N. Rudiakova, F.J. Yanovsky, Drop deformation estimate with multi-polarization radar, Proceedings of European Microwave Conference in Central Europe, EuMCE 2019, 2019, pp. 382-385

X. S.Yang, S. Deb, Engineering optimization with cuckoo search. International jornal of Mathematical Modeling and Numerical optimization, Vol. 1, 4 (2010), p330-343. https://doi.org/10.1504/IJMMNO.2010.035430

E. A. Dijkstra Note on two problems in connexion with graph. Numerishe Mathematik, Vol. 1, (1959), p.269 -271. https://doi.org/10.1007/BF01386390

P. Hart, N. Nilsson, B. Raphae, A formal basis for the heuristic determination of minimum cost paths. Ieee Transactions on Systems Science and Cybernetics, Vol. 4, 2 1968, p. 100-107. https://doi.org/10.1109/TSSC.1968.300136

Yu.A. Averyanova, A.N. Rudiakova, F.J. Yanovsky, Aircraft Trajectories Correction using Operative Meteorological Radar Information, Proceedings of International Radar symposium 2020, Warsaw, Poland, September 5-7, 2020 https://doi.org/10.23919/IRS48640.2020.9253799

Eberhart R, Kennedy J.A., A new optimizer using particle swarm theory.Proc. of the IEEE Sixth International Symposium on Micro Machine and Human science, 1995, pp.39-43.

Published

22-12-2020

How to Cite

Averyanova, Y., Rudiakova, A., & Yanovsky, F. (2020). OPERATIVE CORRECTION OF AIRCRAFT TRAJECTORIES BASED ON AIRBORNE WEATHER RADARS INFORMATION. Proceedings of National Aviation University, 85(4), 13–20. https://doi.org/10.18372/2306-1472.85.15133

Issue

Section

AEROSPACE SYSTEMS FOR MONITORING AND CONTROL