Synthesized vision system model developing for perspective civil aircraft

Аuthors

Dyachenko S. A.

e-mail: sergey.dyachenko@uac-ic.ru

Abstract

Following the increase of safety requirements for flights of modern aircrafts and significant growth of their avionics functionality a relevant task is the development and implementation in civil avionics systems a number of additional systems which could provide situational awareness of crew of rather cockpit external situation and reducing probability of a human mistake to a minimum in case of a catastrophic situation.

The technical vision systems (TVS) provide the crew with necessary information of the aircraft orientation and cockpit external situation in the visualized form convenient for the human.

Among the existing types of aviation class TVS (from the view point of integration into avionics structure) the synthetic vision system (SVS) is the most preferable due to the absence of the need to install any additional equipment on the aircraft.

SVS is the hardware and software solution based on onboard computers and flight indicators providing the real-time three-dimensional view of a cockpit external situation.

The purpose of this work consists in developing the SVS model with application according to the concept of the integrated modular avionics (IMA) for the future civil aircraft of transport category.

The following results of the SSV developing and modeling of are presented in this article:

– analysis of the existing types of aviation TVS;

– analysis of the corresponding standards requirements for development of the civil aircraft equipment imposed to SVS;

– the new SVS architecture with application of the IMA concept;

– the proposed SVS hardware structure;

– the program and algorithmic of the SVS to synthesize 3D images of the land surface topographical sites with high degree of informational content;

– the results of the proposed SVS testing, which proved its suitability for the designated tasks.

The developed SVS prototype complies with the basic documents for the development of modern civil aircrafts.

Assessment of the computing time of the developed algorithms based on series of tests with various examples of the land surface confirmed the validity of the DO-315 requirements in the part of frequency updating.

Keywords:

synthetic vision system, aircraft, 3D-simulation, crew situational awareness, human-machine interface

References

1. Fedosov E.A., Kos’yanchuk V.V., Sel’vesyuk N.I. Radioelektronnye tekhnologii, 2015, no. 1, pp. 66 – 71.

2. Avakyan A.A. Trudy MAI, 2013, no. 65, available at: http://trudymai.ru/eng/published.php?ID=35845

3. Mayer U., Kaiser J., Gross M. Award’s synthetic vision flight guidance display as basic display for a free flight environment, IFAC Proceedings Volumes, Austria, 1999, vol. 32, issue 2, pp. 6558 – 6563.

4. Kramer L.J., Bailey R.E., Ellis K.K. Using Vision System Technologies for Offset Approaches in Low Visibility Operations, Procedia Manufacturing, The Netherlands, 2015, vol. 3, pp. 2373 – 2380.

5. Beregovoi G.T., Zavalova N.D., Lomov B.F et al. Eksperimental’no-psikhologicheskie issledovaniya v aviatsii i kosmonavtike (Experimental-psychological research in aviation and astronautics), Moscow, Nauka, 1978, 301 p.

6. Dobrolenskii Yu.P., Zavalova N.D., Ponomarenko V.A. et al. Metody inzhenerno-psikhologicheskikh issledovanii v aviatsii (Methods of engineering and psychological research in aviation), Moscow, Mashinostroenie, 1975, 280 p.

7. Vizil’ter Yu.V. Mezhdunarodnaya nauchno-prakticheskaya konferentsiya “Sostoyanie i perspektivy razvitiya integrirovannoi modul’noi avioniki”, Moscow, 29-30 oktyabrya 2012, 51 p.

8. Dyatlova O.S. Informatsionno-upravlyayushchie sistemy, 2011, no. 4, pp. 24 – 29.

9. Neretin E.S., Dyachenko S.A., Dudkin S.O. et al. XXV Mezhdunarodnaya nauchno-tekhnicheskaya konferentsiya “Sovremennye tekhnologii v zadachakh upravleniya, avtomatiki i obrabotki informatsii”. Sbornik trudov, (Alushta, 14-20 sentyabrya 2016). Moscow, Tekhnologiya, 2016, pp. 119.

10. Gurov V.S., Kolod’ko G.N., Kostyashkin L.N. et al. Obrabotka izobrazhenii v aviatsionnykh sistemakh tekhnicheskogo zreniya (Image processing in aviation technical vision systems), Moscow, FIZMATLIT, 2016, 240 p.

11. Shelagurova M. S. Sistema informatsionnogo obespecheniya sintezirovannogo videniya dlya bortovykh kompleksov letatel’nykh apparatov (Information system of synthesized vision for aircraft onboard complexes), doctor`s thesis, Moscow, 2015, 223 p.

12. Vygolov O.V. Enhanced and synthetic vision systems development based on integrated modular avionics for civil aviation, 32nd IEEE/AIAA Digital Avionics Systems Conference, USA, East Syracuse, 2013, 14 p.

13. Zaitsev D.Yu., Neretin E.S., Ramzaev A.M. Trudy MAI, 2016, no. 85, available at: http://trudymai.ru/eng/published.php?ID=66460

14. Wiesemann T., Schiefele J., Kubbat W. Multi-resolution terrain depiction on an embedded 2D/3D synthetic vision system, Journal of Aerospace Science and Technology, 2005, vol. 9, Issue 6, pp. 517 – 524.

15. ICAO. Annex 15 to the Convention on International Civil Aviation: Aeronautical Information Services. 13th Edition. International Civil Aviation Organization, Canada, Montreal, 2010, 144 p.

16. Rukovodstvo po minimal’nym standartam kharakteristik aviatsionnykh sistem uluchshennogo videniya, iskusstvennogo videniya, kombinirovannykh sistem iskusstvennogo videniya i bortovykh sistem uvelicheniya dal’nosti videniya R-315 (Guidelines for Minimum Aviation System Performance Standards for Enhanced Vision Systems, Synthetic Vision Systems, Combined Vision Systems and Enhanced Flight Vision Systems R-315), Moscow, AR MAK, 2011, 86 p.

17. Kvalifikatsionnye trebovaniya KT-200A. Obrabotka aeronavigatsionnykh dannykh (KT-200A Qualification Requirements. Aero-navigation Data Processing), Moscow, Aviation Register of the Interstate Aviation Committee, 2004, 55 p.

18. Farr T.G., Rosen P.A., Caro E. et al. The Shuttle Radar Topography Mission, Reviews of Geophysics, 2007, no. 45 (2), pp. 1 – 33, doi:10.1029/2005RG000183.

19. Busurin V.I., Zheltov S.Yu., Kudryavtsev P.S. Aerokosmicheskie vizual’nye prostranstvenno-vremennye sistemy (Aerospace visual spatiotemporal systems), Moscow, MAI, 2015, 200 p.

20. Lunev E.M., Neretin E.S., Dyachenko S.A. et al. Trudy MAI, 2016, no. 86, available at: http://trudymai.ru/eng/published.php?ID=66366

21. Google Maps, available at: https://maps.google.ru/.

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