APPLICATION OF FLIGHT DATA RECORDER DATA FOR REMOTE PILOT MATHEMATICAL MODEL VERIFICATION

Authors

  • Volodymyr Kharchenko National Aviation University
  • Denys Мatiychyk National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.74.12279

Keywords:

automatic control system, data logging, flight controller, mathematical model, remote pilot, unmanned aerial vehicle

Abstract

Objective: the various goals were set in the given research, such as: to carry out flights and perform standard maneuvers on different control modes; to gather flight data from unmanned aerial vehicle flight controller; to select the data according to the performed maneuvers in the corresponding flight control modes; to perform decoding of raw logged data for further analysis; and to prepare data for their substitution into the developed mathematical model at yaw control channel. Methods: experimental flights have been conducted according to a clearly defined flight mission for obtaining specific on-board records from the appropriate unmanned aerial vehicles control channels. Board data were analyzed and decoded. Comparison of the real values of angular velocity obtained during flight in rudder control channel under different control modes was conducted. Results: the initial data of the unmanned aerial vehicles turn performance in the manual and semiautomatic control modes were obtained taking into account the sensitivity scale factor. Based on the real values of angular velocities the angular velocity dependence on time was constructed taking into account the unmanned aerial vehicles control mode. Data obtained from rudder control channel, angular velocity, were converted from raw to real values and ready for verification of designed mathematical model. Discussion: it can be stated that remote pilot performs maneuvers more smoothly in the semiautomatic control mode since the self stabilization of the system is achieved through the influence on the part of automatic control system.

Author Biographies

Volodymyr Kharchenko, National Aviation University

Doctor of Engineering. Professor.

Vice-Rector on Scientific Work of the National Aviation University, Kyiv, Ukraine.

Editor-in-Chief of the scientific journal Proceedings of the National Aviation University.

Winner of the State Prize of Ukraine in Science and Technology,

Honored Worker of Science and Technology of Ukraine.

Education: Kyiv Institute of Civil Aviation Engineers, Kyiv, Ukraine.

Research area: management of complex socio-technical systems, air navigation systems and automatic decision-making systems aimed at avoidance conflict situations, space information technology design, air navigation services in Ukraine provided by СNS/АТМ systems.

Denys Мatiychyk, National Aviation University

Postgraduate student.

Department of Air Navigation Systems, National Aviation University, Kyiv, Ukraine.

Education: National Aviation University, Kyiv, Ukraine (2014).

Research area: Unmanned Aerial Systems.

References

McGriffy D. (2016) Make: Drones. Teach an Arduino to Fly. Maker Media, Inc., 222 p.

Nonami K., Kendoul F., Suzuki S., Wang W., Nakazawa D. (2010) Autonomous Flying Robots. Unmanned Aerial Vehicles. and Micro Aerial Vehicles. Springer, 348 p.

History of Ardupilot. Available at:http://ardupilot.org/planner2/docs/common-history-of-ardupilot.html

Kabbabe K. (2011) Development Of Procedures For Flight Testing UAVs Using The Ardupilot System. The University of Manchester, 176 p.

Johnson E.N., Rooz N., Hur J., Pickell W.A. (2006) Current Testing Process for Research Unmanned Aerial Vehicles. In 25th AIAA Aerodynamic Measurement Technology and Ground Testing Conference; San Francisco, CA: AIAA. p. 1-11.

Kabbabe K. (2008) Performance Review of Small Unmanned Air Vehicles. Manchester: The University of Manchester, School of MACE, 82 p.

Sarker T., Hannan P.A., Shahed S. A., Rahman N., Sakib S. N. (2016) Conceptual design of a low cost flight data acquisition system for analyzing flight behavior of small unmanned aerial vehicles. Computer and Information Technology (ICCIT), 2016 19th International Conference, Dhaka, Bangladesh.

MPU-6000/MPU-6050. Product specification. 08.19.201. Available at: https://www.invensense. com/products/motion-tracking/6-axis/mpu-6050/

UAC M-10 “OKO-2” Available at: http://uav.nau.edu.ua/m-10_eng.html

Matiychyk D., Kharchenko V. (2017) Mathematical model of unmanned aerial vehicle control in single control channel, Proceedings of the National Aviation University, N4(73), p. 18–23. doi: 10.18372/2306-1472.73.12166

Kharchenko V, Pawęska M, Bugayko D, Antonova A, Grigorak M (2017) Theoretical Approaches for Safety Levels Measurements–Sequential Probability Ratio Test (SPRT). Logistics and Transport, no. 2(34), p.p. 25-33.

Published

01-03-2018

How to Cite

Kharchenko, V., & Мatiychyk D. (2018). APPLICATION OF FLIGHT DATA RECORDER DATA FOR REMOTE PILOT MATHEMATICAL MODEL VERIFICATION. Proceedings of National Aviation University, 74(1), 24–29. https://doi.org/10.18372/2306-1472.74.12279

Issue

Section

AEROSPACE SYSTEMS FOR MONITORING AND CONTROL

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 > >>