PARTICLE FILTERING TECHNIQUE FOR AIRCRAFT CONTROL IN HIGHLY-DISTURBED GPS-DENIED ENVIRONMENT

Authors

  • M. P. Mukhina National Aviation University, Kyiv
  • M. K. Filyashkin National Aviation University, Kyiv
  • V. M. Kazak National Aviation University, Kyiv
  • D. O. Shevchuk National Aviation University, Kyiv

DOI:

https://doi.org/10.18372/1990-5548.63.14530

Keywords:

Correlation extreme navigation system, particle filtering, relief field, control uncertainty, control reconfiguration

Abstract

The problem of aircraft control is considered for certain class of situation, namely when aircraft enters GPS-denied zone with significant disturbances of different nature which may cause the constructive damage and the loss of control. The only source of information is from inertial navigation system that need to be aided by correlation extreme navigation system, for example. In the paper the control problem is solved by using particle filtering technique for correlation extreme navigation system which outputs form the control vector. Further the structural reconfiguration is done by redistributing control or changing the control law in order to create the necessary control forces and moments, maintain acceptable control quality and return for the desired track. The lack of reliable navigation information is compensated by correlation extreme navigation system working by terrain filed of the Earth to be included into control contour. The researches have been conducted by mathematical modeling of the developed algorithms in mathematical software package MATLAB using terrain field (the part of Carpathians territory). The results proved the high accuracy of navigation solution and stability of control estimated by error of closing loop.

Author Biographies

M. P. Mukhina, National Aviation University, Kyiv

Faculty of Air Navigation, Electronics and Telecommunications

Doctor of Engineering Science. Associate Рrofessor

M. K. Filyashkin, National Aviation University, Kyiv

Faculty of Air Navigation, Electronics and Telecommunications

Candidate of Science (Engineering). Рrofessor

V. M. Kazak, National Aviation University, Kyiv

Aerospace Automation and Energy Management Department

Doctor of Engineering Science. Professor

D. O. Shevchuk, National Aviation University, Kyiv

Aerospace Automation and Energy Management Department

Doctor of Engineering Science. Professor

orcid.org/0000-0001-9911-7214

References

W. F. Bonnice, E. Wagner, P. Motyke, and S. Hall, “The application of the detection filter to aircraft control surface and actuator failure detection and isolation,” Proc. AIAA Guidance, Navigation and Control Conf., 1985, pp. 732–740. https://doi.org/10.2514/6.1985-1973

R. A. Eslinger and P. R. Chandler, “Self-repairing flight control system program overview,” Proc. IEEE National Aerospace and Electronics Conf., 1988, vol. 2, pp. 504–511.

S. A. Ischenko and A. R. Davydov, Development of methods for monitoring and diagnosis aerodynamically state aircrafts of civil aviation, Moscow: Znanie, 1990, p. 44.

V. M. Kasak, System method of restoring the persistence of airplanes in flight emergency situation, (in Ukrainian), Kyiv, NAU-druk, 2010.

V. N. Kazak, D. O. Shevchuk, N. P. Kravchuk, M. H. Levchenko, and O. M. Pavlenko, “Reconfigurable flight control system,” International Journal of Advanced Research in Computer Engineering Technology (IJARCET), vol. 3, Issue 11, pp. 3999–4006, 2014.

V. P. Kharchenko and M. P. Mukhina, Utility patent no. 98729 Ukraine "Correlation-extreme navigation system with a function of simultaneous mapping," (in Ukrainian) u 2014 10954; Ann. 07.10.2014; printed 12.05.2015, Bul. 9.

M. P. Mukhina and A. Prymak, “Resampling errors of particle filtering in correlation-extreme navigation of UAV by relief field,” 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments Proceedings (APUAVD), 2019. https://doi.org/10.1109/APUAVD47061.2019.8943909

M. P. Mukhina and I. V. Seden, “Analysis of modern correlation extreme navigation systems,” Electronics and control systems, vol. 1, pp. 95–101, 2014. https://doi.org/10.18372/1990-5548.39.7343

M. R. Napolitano and R. L. Swaim, “A new technique for aircraft flight control reconfiguration,” Proc. AIAA Guidance, Navigation and Control Conf., 1989, Pt. 1, pp. 1–9. https://doi.org/10.2514/6.1989-3425

E. P. Udartsev, The dynamics of the spatial balance of the aircraft, Moscow: KIIGA, 1989, p. 116.

L. Zhao, N. Gao, B. Huang, Q. Wang, and J. Zhou, “A novel terrain-aided navigation algorithm combined with the TERCOM algorithm and particle filter,” IEEE Sensors Journal, vol. 15, no 2, pp. 1124–1131, 2014. https://doi.org/10.1109/JSEN.2014.2360916

https://gdex.cr.usgs.gov/gdex/

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How to Cite

Mukhina, M. P., Filyashkin, M. K., Kazak, V. M., & Shevchuk, D. O. (2020). PARTICLE FILTERING TECHNIQUE FOR AIRCRAFT CONTROL IN HIGHLY-DISTURBED GPS-DENIED ENVIRONMENT. Electronics and Control Systems, 1(63), 99–107. https://doi.org/10.18372/1990-5548.63.14530

Issue

Vol. 1 No. 63 (2020)

Section

AVIATION TRANSPORT

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