The development of autonomous flight control systems for optionally manned rotary-wing aircraft
https://doi.org/10.26467/2079-0619-2025-28-4-84-104
Abstract
This article examines the evolution of fly-by-wire (FBW) flight control systems for rotary-wing aircraft, from early analogue to modern autonomous flight control systems. Such flight control systems can replace a pilot in case of adverse weather conditions and extreme situations, thereby enhancing flight safety. Proper integration of autonomous flight with manual control will minimize the critical human factor-related causes of flight accidents, such as collision with ground obstacles or loss of spatial orientation in severe meteorological conditions. Autonomous piloting mode implies monitoring and verification of input signals from the pilot and their comparison with targets of flight mission and current weather conditions (and restrictions imposed in connection with it). The system can include the pilot in the control loop and notify him of this, eliminating his activity in case of emergency. Modern autonomous control systems are considered based on the example of the flying testbed RASCAL JUH-60A, which was used to test elements of the FBW for the UH-60M Black Hawk helicopter during its modernization.
About the Authors
M. I. Myasnikov
Moscow Aviation Institute (National Research University)
Russian Federation
Russian Federation
Maxim I. Myasnikov, Candidate of Physical and Mathematical Sciences, Associate Professor, Chair of Helicopter Design
Moscow
I. R. Ilyin
JSC National Helicopter Center Мil &Kamov
Russian Federation
Russian Federation
Igor R. Ilyin, Chief Specialist of the Department for Coordination and Comprehensive Analysis of Scientific Research and Technological Development Projects
Moscow
References
1. Maré, J.-Ch. (2017). Aerospace Actuators 2. Signal-by-wireandpower-by-wire. Wiley, 245 p. DOI: 10.1002/9781119332442
2. Myasnikov, M.I., Ilyin, I.R. (2024). Basic principals of the tiltrotors flight control system architecture and algorithms. Civil Aviation High Technologies, vol. 27, no. 5, pp. 70–89. DOI: 10.26467/2079-0619-2024-27-5-70-89 (in Russian)
3. Strauss, M.P., Scott, M.W. (2024). 50 years of progress in rotorcraft design: a retrospective from the vertical flight society’s aircraft design technical committee. In: Proceedings of the Vertical Flight Society’s 6th Decennial Aeromechanics Specialists’ Conference, USA, California, Santa Clara, February 6-8, p. 34.
4. Jayakrishnan, S., Harikumar, R. (2013). Trajectory generation on approach & landing for a RLV using NOC approach. International Journal of Electrical, Electronics and Data Communication, vol. 1, issue 6, pp. 16–21.
5. Malaek, S.M., Kosari, A.R. (2007). Novel minimum time trajectory planning in terrain following flights. In: IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 1, pp. 2–12. DOI: 10.1109/TAES.2007.357150
6. Vajda, P., Maris, J. (2021). A systematic approach to developing paths towards airborne vehicle autonomy. NASA Report, 101 p. Available at: https://ntrs.nasa.gov/api/citations/20210019878/downloads/NASA-CR20210019878final.pdf (accessed: 08.10.2024).
7. Fujizawa, B., Tischler, M., Ott, C., Blanken, C. (2014). UH-60 modernized control laws for improved handling qualities in the degraded visual environment. In: Proceedings of the American Helicopter Society 70th Annual Forum. DOI: 10.4050/F-0070-2014-9516 (accessed: 08.10.2024).
8. Lusardi, J., Fujizawa, B., Morford, Z. (2017). Flight testing of coupled collective toward reducing pilot workload during landing in DVE. In: Proceedings of the American Helicopter Society International 73rd Annual Forum & Technology Display. DOI: 10.4050/F-0073-2017-12068 (accessed: 08.10.2024).
9. Young, S. (2016). Aircrew labor incockpit automation system in ALIAS program results. darpa.mil. Available at: https://www.darpa.mil/research/programs/aircrew-labor-incockpit-automation-system (accessed: 08.10.2024).
10. Tischler, M.B. (2022). Flight control technology advancements and challenges for future rotorcraft 40th A.A. Nikolsky honorary lecture. Journal of the American Helicopter Society, vol. 67, ID: 041001, 39 p. Available at: https://www.sjsu.edu/researchfoundation/docs/ AHS_2022_Tischler.pdf (accessed: 08.10.2024).
11. Zammali, A., De Bonneval, A., Crouzet, Y., Izzo, P., Massimi, J.-M. (2015). Communication integrity for future helicopters flight control systems. In: 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC). Czech Republic, Prague, pp. 1–20. DOI: 10.1109/DASC.2015.7311616
12. Wen, P., Zou, Ch., Gao, Z., Sun, J. (2021). Autonomous flight control based on neural networks and fuzzy decision. In: Presented at the 32nd Congress of the International Council of the Aeronautical Sciences. China, Shanghai, Pudong Shangri-La, September 6-10, 6 p. Available at: https://www.icas.org/icas_archive/ICAS2020/data/papers/ICAS2020_0591_paper.pdf (accessed: 08.10.2024).
13. Takahashi, M.D., Whalley, M.S., Fletcher, J. et al. (2014). Development and flight testing of a flight control law for autonomous operations research on the RASCAL JUH-60A. Journal of the American Helicopter Society, vol. 59, no. 3, pp. 1–13. DOI: 10.4050/JAHS.59.032007
14. Whalley, M.S., Takahashi, M.D., Goerzen, C.L. et al. (2014). Autonomous Black Hawk in flight: obstacle field navigation and landing-site selection on the RASCAL JUH-60A. Journal of Field Robotics, vol. 31, issue 4, pp. 591–616. DOI: 10.1002/rob.21511
15. Takahashi, M.D., Goerzen, C.L., Schulein, G.J. (2017). Autonomous rotorcraft flight control with multi-level pilot interaction in hover and forward flight. Journal of the American Helicopter Society, vol. 62, no. 3, pp. 1–13. DOI: 10.4050/JAHS.62.032009
Review
For citations:
Myasnikov M.I., Ilyin I.R. The development of autonomous flight control systems for optionally manned rotary-wing aircraft. Civil Aviation High Technologies. 2025;28(4):84-104. (In Russ.) https://doi.org/10.26467/2079-0619-2025-28-4-84-104
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