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Tytuł artykułu

Integration and in-field gains selection of flight and navigation controller for remotely piloted aircraft system

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the paper the implementation process of commercial flight and navigational controller in own aircraft is shown. The process of autopilot integration were performed for the fixed-wing type of unmanned aerial vehicle designed in high-wing and pull configuration of the drive. The above equipment were integrated and proper software control algorithms were chosen. The correctness of chosen hardware and software solution were verified in ground tests and experimental flights. The PID controllers for longitude and latitude controller channels were selected. The proper deflections of control surfaces and stabilization of roll, pitch and yaw angles were tested. In the next stage operation of telecommunication link and flight stabilization were verified. In the last part of investigations the preliminary control gains and configuration parameters for roll angle control loop were chosen. This enable better behavior of UAV during turns. Also it affected other modes of flight such as loiter (circle around designated point) and auto mode where the plane executed a pre-programmed mission.
Rocznik
Strony
33--37
Opis fizyczny
Bibliogr. 20 poz., rys., tab., wykr.
Twórcy
autor
  • Moose sp z. o.o., Żurawia 71 Street, 15-540 Bialystok, Poland
autor
  • Bialystok University of Technology, Faculty of Mechanical Engineering, Wiejska 45C Street, 15-351 Bialystok, Poland
autor
  • Bialystok University of Technology, Faculty of Mechanical Engineering, Wiejska 45C Street, 15-351 Bialystok, Poland
Bibliografia
  • 1. Ambroziak, L., Gosiewski, Z. (2015), Two stage switching control for autonomous formation flight of unmanned aerial vehicles, Aerospace Science and Technology, 46, 221- 226.
  • 2. Crespo G., Glez-de-Rivera G., Garrido J., Ponticelli R.(2014): “Setup of a communication and control systems of a quadrotor type Unmanned Aerial Vehicle”, Proceedings of Conference on Design of Circuits and Integrated Circuits (DCIS), Madrid, Spain, 1-6.
  • 3. Erdos D., Erdos A., Watkins S.E. (2013), An experimental UAV system for search and rescue challenge, Aerospace and Electronic Systems Magazine, 28, 32-37.
  • 4. HaiYang C. , YongCan C., YangQuan C. (2010), Autopilots for small unmanned aerial vehicles: A survey, International Journal of Control, Automation and Systems, 8(1), 36-44.
  • 5. http://plane.ardupilot.com/ (access 30.08.2016)
  • 6. http://planner.ardupilot.com/ (access 30.08.2016)
  • 7. Kondratiuk M., Gosiewski Z. (2013), Simulation model of an electromagnetic multi-coil launcher for micro aerial vehicles, Solid State Phenomena: Mechatronic Systems and Materials IV, 406-411.
  • 8. Koslosky E., Wehrmeister M.A., Fabro J.A., Oliveira A.S. (2015), On Using Fuzzy Logic to Control a Simulated Hexacopter Carrying an Attached Pendulum, 2015 Latin America Congress on Computational Intelligence (LA-CCI), 1-6.
  • 9. Koszewnik A. (2014), The Parrot UAV controlled by PID controllers, Acta Mechanica et Automatica, 8(2), 65-69.
  • 10. Kownacki C. (2015), Design of an adaptive Kalman filter to eliminate measurement faults of a laser rangefinder used in the UAV system, Aerospace Science and Technology, 41, 81-89.
  • 11. Kownacki C., Ołdziej D. (2016), Fixed-wing UAVs Flock Control through Cohesion and Repulsion Behaviours Combined with a Leadership, International Journal of Advanced Robotic Systems, 13, 1-10.
  • 12. Mahony R. , Kumar V., Corke P. (2012), Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor”, IEEE Robotics & Automation Magazine, 19(3), 20-32.
  • 13. Marconi L., Naldi R., Gentili L. (2011), Modelling and control of a flying robot interacting with the environment, Automatica, 47, 2571-2583.
  • 15. Meier L., Tanskanen P., Heng L., Lee G. H., Fraundorfer F., Pollefeys M. (2012), PIXHAWK: A micro aerial vehicle design for autonomous flight using onboard computer vision, Autonomous Robots, 33(1-2), 21-39.
  • 16. Multiplex Mentor Assambly Manual http://hitecrcd.com/files/md_mentor_5sp.pdf (access 30.08.2016)
  • 17. Mystkowski A. (2014), Implementation and investigation of a robust control algorithm for an unmanned micro-aerial vehicle, Robotics and Autonomous Systems, 62, 1187-1196.
  • 18. Orifianto O., Farhood M. (2015), Development and Modeling of a Low-Cost Unmanned Aerial Vehicle Research Platform, Journal of Intelligent & Robotic Systems, 80(1), 139-164.
  • 19. Spinka O., Holub O., Hanzalek Z. (2011) Low-Cost Reconfigurable Control System for Small UAVs, Transactions on Industrial electronics, 58(3), 880-889.
  • 20. Walendziuk W., Sawicki A., Idźkowski A. (2015), Estimation of the object orientation and location with the use of MEMS sensors, SPIE Proceedings, 9662, 1-6.
  • 21. Wang D., Xu J., Yao R. (2006), Simulation system of telemetering and telecontrol for unmanned aerial vehicle, Aerospace and Electronic Systems Magazine, 21, 3-5.
Uwagi
1. The work has been accomplished under the research project No. MB/WM/15/2016 and S/WM/1/2016 financed by the Ministry of Science and Higher Education.
2. Błędna numeracja bibliografii.
3. Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7d3c354d-69a8-4f9e-abef-d0d5fbf20ca6
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