Flight controllers for multi-rotor unmanned aerial vehicles

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详细

The article considers the creation of flight controllers based on open source software for multi-rotor unmanned aerial vehicles (UAVs) that meet reliability requirements and provide a high degree of flexibility.

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作者简介

A. Golubkov

ООО «Радиокомп»

编辑信件的主要联系方式.
Email: andrew@radiocomp.ru

начальник отдела перспективных разработок

俄罗斯联邦

S. Melyukov

ФГБОУ ВО «Московский авиационный институт (национальный исследовательский университет)»; ООО «Радиокомп»

Email: melyukov.1@mail.ru

кафедра «Системы автоматического и интеллектуального управления», аспирант; инженер-программист

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A. Fomichev

ФГБОУ ВО «Московский авиационный институт (национальный исследовательский университет)»

Email: fomichevav@mai.ru

к.т.н., кафедра «Системы автоматического и интеллектуального управления», доцент

俄罗斯联邦

参考

  1. Muhamad A., Panjaitan S. D., Yacoub R. R. Design and development of flight controller for quadcopter drone control // Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL). 2024. V. 1. No. 3. PP. 279–291.
  2. Amadi C. A. Design and implementation of a model predictive control on a Pixhawk flight controller: thesis. – Stellenbosch: Stellenbosch University, 2018.
  3. Rico R., Rico-Azagra J., Gil-Martínez M. Hardware and RTOS design of a flight controller for professional applications // IEEE Access. 2022. V. 10. PP. 134870-134883.
  4. Qu X., Wei Y., Liu Y. et al. Design of Automatic Search and Rescue UAV Based on Jetson Nano Combined with PX4 Pixhawk Flight Controller and Color Recognition Technology // 2024 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). IEEE, 2024. PP. 460–466.
  5. Chong Y. F., Al-Fadhali N. M. A. MultiWii Based Quadcopter by Using Arduino Controller // Progress in Engineering Application and Technology. 2023. V. 4. No. 1. PP. 221–229.
  6. Nguyen K. D., Ha C. Development of hardware-in-the-loop simulation based on Gazebo and Pixhawk for unmanned aerial vehicles // International Journal of Aeronautical and Space Sciences. 2018. V. 19. PP. 238–249.
  7. Baldi S., Sun D., Xia X. et al. ArduPilot-based adaptive autopilot: Architecture and software-in-the-loop experiments // IEEE Transactions on Aerospace and Electronic Systems. 2022. V. 58. No. 5. PP. 4473–4485.
  8. Levy S. D. Robustness through simplicity: a minimalist gateway to neurorobotic flight // Frontiers in Neurorobotics. 2020. V. 14. P. 16.
  9. Rao M. V. S., Athmika K., Geetha S. et. al. Design and Development of Quadcopter for Agro-Chemical Spray in Agricultural Field // International Research Journal on Advanced Engineering Hub (IRJAEH). 2024. V. 2. No. 05. PP. 1294–1302.
  10. Lienkov S., Myasischev A., Sieliukov O. et al. Checking the Flight Stability of a Rotary UAV in Navigation Modes for Different Firmware // CEUR Workshop Proceedings. 2021. V. 3126. PP. 46–55.
  11. Wang L. Review of the application of open-source flight control in multi-rotor aircraft //Int. Core J. Eng. 2021. V. 7. PP. 261–270.
  12. Pollien B., Garion C., Hattenberger G. et al. Verifying the Mathematical Library of an UAV Autopilot with Frama-C // Formal Methods for Industrial Critical Systems: 26th International Conference, FMICS 2021, Paris, France, August 24–26, 2021. Springer International Publishing, 2021. PP. 167–173.

补充文件

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1. JATS XML
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2. Fig. 1. PC development algorithm graph

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3. Fig. 2. PC structure

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4. Fig. 3. Flight controllers RK-405 (a) and RK-743 (b)

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版权所有 © Golubkov A., Melyukov S., Fomichev A., 2025