Fluid Mechanics and Flight Mechanics

Autonomous rotor speed restoration and stabilization after helicopter engine failure

  • Kangrui WEI ,
  • Xu ZHOU ,
  • Yousong XU ,
  • Chenkai CAO ,
  • Qijun ZHAO
Expand
  • National Key Laboratory of Helicopter Aeromechanics/Helicopter Research Institute,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China

Received date: 2025-11-19

  Revised date: 2025-12-04

  Accepted date: 2026-03-17

  Online published: 2026-03-23

Supported by

National Natural Science Foundation of China(U25B2092);Postgraduate Research & Practice Innovation Program of Jiangsu Province(KYCX25_0564)

Abstract

Following helicopter engine failure, rapid rotor speed recovery and maintenance of a stable steady-state autorotation condition are essential. To achieve autonomous control of this process, this study first analyzed the collective pitch control characteristics based on sweep-frequency flight test data from a light helicopter in steady-state autorotation. The results revealed a significant phase lag in the rotor speed response to collective pitch inputs, demonstrating that conventional rotor speed feedback strategies carry an inherent risk of inducing system oscillations. Second, based on blade element theory analysis, it was identified that conventional rotor speed feedback strategies lack explicit regulation of the airflow angle of attack. Building on this insight, a vertical velocity feedback strategy was proposed, along with a composite control architecture integrating inner-loop vertical velocity feedback and outer-loop rotor speed feedback. The effectiveness of this composite architecture was further verified from a transfer function perspective. Subsequently, a flight dynamics model applicable to engine failure scenarios was established for the UH-1H helicopter, incorporating rotor disk modeling and dynamic inflow theory. Simulation analysis of the collective pitch response in steady-state autorotation validated the characteristic reverse initial response and phase lag of the rotor speed for the studied helicopter. Finally, simulations for steady-state autorotation entry and disturbance rejection were conducted based on the developed model, comparing the performance of four control strategies: open-loop collective reduction, conventional rotor speed feedback, the proposed vertical velocity feedback, and the dual-loop feedback strategy. The results indicate that the proposed dual-loop feedback strategy overcomes the inherent oscillatory limitations of rotor speed feedback, significantly accelerates rotor kinetic energy recovery compared to single-loop vertical velocity feedback, and provides disturbance rejection capability absent in open-loop control. This study offers new insights for the design of autonomous controllers in autorotation descent and the reliable establishment of steady-state autorotation.

Cite this article

Kangrui WEI , Xu ZHOU , Yousong XU , Chenkai CAO , Qijun ZHAO . Autonomous rotor speed restoration and stabilization after helicopter engine failure[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2026 , 47(16) : 133109 -133109 . DOI: 10.7527/S1000-6893.2026.33109

References

[1] 周悦, 蒋维安, 魏麟, 等. 2012—2018年NTSB北美直升机事故情况分析[J]. 民航学报, 2024, 8(2): 25-30, 139.
  ZHOU Y, JIANG W A, WEI L, et al. Analysis of North America helicopter accidents 2012-2018 based on NTSB data[J]. Journal of Civil Aviation, 2024, 8(2): 25-30, 139 (in Chinese).
[2] BETZINA M D. Tiltrotor descent aerodynamics: A small-scale experimental investigation of Vortex Ring State[C]∥American Helicopter Society 57th Annual Forum. 2001.
[3] 王焕瑾, 高正. 自转旋翼的气动优势和稳定转速[J]. 航空学报, 2001, 22(4): 337-339.
  WANG H J, GAO Z. Aerodynamic virtue and steady rotary speed of autorotating rotor[J]. Acta Aeronautica et Astronautica Sinica, 2001, 22(4): 337-339 (in Chinese).
[4] 张宇杭, 韩东, 万浩云. 桨叶分段线性扭转对旋翼性能的提升[J]. 航空学报, 2022, 43(5): 225264.
  ZHANG Y H, HAN D, WAN H Y. Rotor performance improvement by blade piecewise linear twist[J]. Acta Aeronautica et Astronautica Sinica, 2022, 43(5): 225264 (in Chinese).
[5] 王铁军. 直升机自转下滑瞬时增距特性分析[D]. 北京: 北京航空航天大学, 2001.
  WANG T J. Analysis of instantaneous range increase characteristics of helicopter’s autorotation and glide[D]. Beijing: Beihang University, 2001 (in Chinese).
[6] 严长凯. 自旋进入/退出过程直/发综合建模与控制技术研究[D]. 南京: 南京航空航天大学, 2014.
  YAN C K. Research on modeling and control for integrated helicopter/turboshaft engine system in helicopter autorotation decent/recovery process[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2014 (in Chinese).
[7] 王道明, 袁罗庚, 刘建礼, 等. 某多发直升机自转着陆试飞方法[J]. 直升机技术, 2022(2): 58-63.
  WANG D M, YUAN L G, LIU J L, et al. Autorotation landing flight test method of a multiple-engine helicopter[J]. Helicopter Technique, 2022(2): 58-63 (in Chinese).
[8] 冯德林. 直升机稳定自转和减速拉平研究[D]. 北京: 北京航空航天大学, 2001.
  FENG D L. Research on stable autorotation and deceleration recovery in helicopter[D]. Beijing: Beihang University, 2001 (in Chinese).
[9] JOHNSON W. Helicopter optimal descent and landing after power loss: NASA TM-73244[R]. Washington, D. C.: NASA, 1977.
[10] LEE A Y, BRYSON A E, HINDSON W S. Optimal landing of a helicopter in autorotation[J]. Journal of Guidance, Control, and Dynamics, 1988, 11(1): 7-12.
[11] BIBIK P, NARKIEWICZ J. Helicopter optimal control after power failure using comprehensive dynamic model[J]. Journal of Guidance, Control, and Dynamics, 2012, 35(4): 1354-1362.
[12] MENG W L, CHEN R L. Study of helicopter autorotation landing following engine failure based on a six-degree-of-freedom rigid-body dynamic model[J]. Chinese Journal of Aeronautics, 2013, 26(6): 1380-1388.
[13] DALAMAGKIDIS K, VALAVANIS K P, PIEGL L A. Autonomous autorotation of unmanned rotorcraft using nonlinear model predictive control[J]. Journal of Intelligent and Robotic Systems, 2010, 57(1): 351-369.
[14] DALAMAGKIDIS K, VALAVANIS K P, PIEGL L A. Nonlinear model predictive control with neural network optimization for autonomous autorotation of small unmanned helicopters[J]. IEEE Transactions on Control Systems Technology, 2011, 19(4): 818-831.
[15] ABBEEL P, COATES A, HUNTER T, et al. Autonomous autorotation of an RC helicopter[M]∥Experimental Robotics. Berlin: Springer, 2009: 385-394.
[16] LEE D J, BANG H, BAEK K. Autorotation of an unmanned helicopter by a reinforcement learning algorithm[C]∥AIAA Guidance, Navigation and Control Conference and Exhibit. Reston: AIAA, 2008.
[17] LEE D J, BANG H. Autonomous autorotation of an unmanned helicopter using a reinforcement learning algorithm[J]. Journal of Aerospace Information Systems, 2013, 10(2): 98-104.
[18] SUNBERG Z, ROGERS J. A fuzzy logic-based controller for helicopter autorotation[C]∥51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston: AIAA, 2013.
[19] SUNBERG Z N, MILLER N R, ROGERS J D. A real-time expert control system for helicopter autorotation[J]. Journal of the American Helicopter Society, 2015, 60(2): 1-15.
[20] EBERLE B F, ROGERS J D. Real-time trajectory generation and reachability determination in autorotative flare[J]. Journal of the American Helicopter Society, 2020, 65(3): 1-17.
[21] 屈天祥, 滕飞, 傅春啸, 等. 小型无人直升机自转建模与控制策略研究[J]. 机械与电子, 2022, 40(2): 45-49.
  QU T X, TENG F, FU C X, et al. Autorotation modeling of small unmanned helicopter and control strategy research[J]. Machinery & Electronics, 2022, 40(2): 45-49 (in Chinese).
[22] LOPEZ C A, WELLS V L. Dynamics and stability of an autorotating rotor/wing unmanned aircraft[J]. Journal of Guidance, Control, and Dynamics, 2004, 27(2): 258-270.
[23] PROUTY R W. Helicopter performance, stability, and control[M]. Malabar: Krieger Publishing Company, 1995.
[24] PETERS D A, HAQUANG N. Technical note: Dynamic inflow for practical applications[J]. Journal of the American Helicopter Society, 1988, 33(4): 64-68.
[25] PETERS D A, BOYD D D, HE C J. Finite-state induced-flow model for rotors in hover and forward flight[J]. Journal of the American Helicopter Society, 1989, 34(4): 5-17.
[26] MURAKAMI Y, HOUSTON S S. Dynamic inflow modelling for autorotatingrotors[J]. The Aeronautical Journal, 2008, 112(1127): 47-53.
[27] TALBOT P D, TINLING B E, DECKER W A, et al. A mathematical model of a single main rotor helicopter for piloted simulation: NASA-TM-84281 [R]. Washington, D.C.: NASA, 1982.
[28] 严旭飞. 倾转旋翼机倾转过渡操纵策略研究[D]. 南京: 南京航空航天大学, 2019.
  YAN X F. Research on control strategy for tilt-rotor aircraft conversion procedure[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2019 (in Chinese).
[29] TALBOT P D, CORLISS L D. A mathematical force and moment model of a UH-1H helicopter for flight dynamics simulations: NASA-TM-73254[R]. Washington, D.C.: NASA, 1977.
[30] 张辽, 张允昌, 李威, 等. 直升机旋翼自转状态飞行仿真建模研究[J]. 系统仿真学报, 2013, 25(): 17-20.
  ZHANG L, ZHANG Y C, LI W, et al. Study on simulation modeling for flight process of helicopter with rotor autorotation[J]. Journal of System Simulation, 2013, 25(S1): 17-20 (in Chinese).
[31] AHMAD S, THOMSON D. Validation of rotor-disc model for light autogyro in steady-state flight mode[C]∥Proceedings of International Conference of Aerospace and Mechanical Engineering 2019. Singapore: Springer, 2020: 481-492.
[32] Headquarters, Department of the Army. Bell UH-1H Iroquois flight manual: TM 55-1520-210-10[R]. Washington, D.C.: NASA, 1988.
[33] YOMCHINDA T. Real-time path planning and autonomous control for helicopter autorotation[D]. State College: The Pennsylvania State University, 2013.
[34] 蔡华. 直升机控制律设计及仿真研究[D]. 西安: 西北工业大学, 2007.
  CAI H. Design and simulation research helicopter control law[D]. Xi’an: Northwestern Polytechnical University, 2007 (in Chinese).
[35] 中华人民共和国交通运输部. 正常类旋翼航空器适航规定[EB/OL]. (2025-11-27)[2025-11-30]. .
  Ministry of Transportation and Communications of the People’s Republic of China. Airworthiness regulations for normal class rotorcraft. (2025-11-27)[2025-11-30]. (in Chinese).
Outlines

/

〈 〉