Modeling and analysis of landing collision dynamics for a shipborne helicopter

Dingxuan ZHAO, Haojie YANG, Carbone GIUSEPPE, Wenhang LI, Tao NI, Shuangji YAO

PDF(1757 KB)
PDF(1757 KB)
Front. Mech. Eng. ›› 2021, Vol. 16 ›› Issue (1) : 151-162. DOI: 10.1007/s11465-020-0617-z
RESEARCH ARTICLE
RESEARCH ARTICLE

Modeling and analysis of landing collision dynamics for a shipborne helicopter

Author information +
History +

Abstract

A Lagrange dynamic model is established based on small-angle approximation to improve the simulation model for shipborne helicopter landing collision. To describe fuselage motion effectively, the proposed model considers ship motion, the interaction of the tires with the deck, and tire slippage. A mechanism of sliding motion is built, and a real-time reliability analysis of the algorithm is implemented to validate the proposed model. Numerical simulations are also conducted under different operation conditions. Results show that the proposed dynamic model can simulate the collision motion of helicopter landing in real time. Several suggestions for helicopter pilot landing are likewise provided.

Keywords

shipborne helicopter / landing model / Lagrange equations / dynamics / validation

Cite this article

Download citation ▾
Dingxuan ZHAO, Haojie YANG, Carbone GIUSEPPE, Wenhang LI, Tao NI, Shuangji YAO. Modeling and analysis of landing collision dynamics for a shipborne helicopter. Front. Mech. Eng., 2021, 16(1): 151‒162 https://doi.org/10.1007/s11465-020-0617-z

References

[1]
Crozon C, Steijl R, Barakos G N. Coupled flight dynamics and CFD–Demonstration for helicopters in shipborne environment. Aeronautical Journal, 2018, 122(1247): 42–82
CrossRef Google scholar
[2]
Su D, Xu G, Huang S, Numerical investigation of rotor loads of a shipborne coaxial-rotor helicopter during a vertical landing based on moving overset mesh method. Engineering Applications of Computational Fluid Mechanics, 2019, 13(1): 309–326
CrossRef Google scholar
[3]
Tan J F, Zhou T Y, Sun Y M, Numerical investigation of the aerodynamic interaction between a tiltrotor and a tandem rotor during shipboard operations. Aerospace Science and Technology, 2019, 87(4): 62–72
CrossRef Google scholar
[4]
Khan A, Bil C, Marion K E. Real time prediction of ship motion for the aid of helicopter and aircraft deployment and recovery. In: Proceedings of the 25th International Congress Council of the Aeronautical Sciences. Hamburg: RMIT University, 2006, 1–6
[5]
Yang X, Pota H, Garratt M, Ship motion prediction for maritime flight operations. IFAC Proceedings Volumes, 2008, 41(2): 12407–12412
CrossRef Google scholar
[6]
Zhou B, Shi A. LSSVM and hybrid particle swarm optimization for ship motion prediction. In: Proceedings of 2010 International Conference on Intelligent Control and Information. Dalian: IEEE, 2010, 183–186
CrossRef Google scholar
[7]
Lee D, Horn J F. Simulation of pilot workload for a helicopter operating in a turbulent ship airwake. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2005, 219(5): 445–458
CrossRef Google scholar
[8]
Polsky S A, Wilkinson C, Nichols J, Development and application of the SAFEDI tool for virtual dynamic interface ship airwake analysis. In: Proceedings of the 54th AIAA Aerospace Sciences Meeting. San Diego: AIAA, 2016
CrossRef Google scholar
[9]
Sezer-Uzol N, Sharma A, Long L N. Computational fluid dynamics simulations of ship airwake. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2005, 219(5): 369–392
CrossRef Google scholar
[10]
Oruc I, Horn J F, Polsky S, Coupled flight dynamics and CFD simulations of helicopter/ship dynamic interface. In: Proceedings of the American Helicopter Society 71st Annual Forum. Virginia Beach: American Helicopter Society, 2015, 1835–1847
[11]
Oruc I, Horn J F, Shipman J. Coupled flight dynamics and computational fluid dynamics simulations of rotorcraft/terrain interactions. Journal of Aircraft, 2017, 54(6): 2228–2241
CrossRef Google scholar
[12]
Oruc I, Shenoy R, Shipman J, Towards real-time fully coupled flight dynamics and CFD simulation of the helicopter/ship dynamic interface. In: Proceedings of American Helicopter Society 72nd Annual Forum. West Palm Beach: American Helicopter Society, 2016, 17–19
[13]
Han D, Wang H, Gao Z. Aeroelastic analysis of a shipboard helicopter rotor with ship motions during engagement and disengagement operations. Aerospace Science and Technology, 2012, 16(1): 1–9
CrossRef Google scholar
[14]
Wall A S, Langlois R G, Afagh F F. Modelling helicopter blade sailing: Dynamic formulation in the planar case. Journal of Applied Mechanics, 2007, 74(6): 1104–1113
CrossRef Google scholar
[15]
Huang Y T, Zhu M, Zheng Z W, Fixed-time autonomous shipboard landing control of a helicopter with external disturbances. Aerospace Science and Technology, 2019, 84(1): 18–30
CrossRef Google scholar
[16]
Duan P P, Nie H, Wei X H. Dynamic response analysis of carrier-based aircraft during landing. Transactions of Nanjing University of Aeronautics and Astronautics, 2013, (4): 306–316
CrossRef Google scholar
[17]
Blackwell J, Feik R A. A Mathematical Model of the On-Deck Helicopter/Ship Dynamic Interface. Aeronautical Research Labs Report B870031, 1988
[18]
Li Y J, Zhao D X, Zhang Z J, An IDRA approach for modelling helicopter based on Lagrange dynamics. Applied Mathematics and Computation, 2015, 265(3): 733–747
CrossRef Google scholar
[19]
Zhao D X, Zhang J Y, Carbone G, Dynamic parameters identification of a haptic interface for a helicopter flight simulator. Mechanical Sciences, 2020, 11(1): 193–204
CrossRef Google scholar
[20]
Mahmuddin F. Rotor blade performance analysis with blade element momentum theory. Energy Procedia, 2017, 105: 1123–1129
CrossRef Google scholar
[21]
Tan D L, Zheng C, On A. General formula of fourth order Runge–Kutta method. Journal of Mathematical Science and Mathematics Education, 2012, 7(2): 1–10
[22]
Dreier M E. Introduction to the flight simulation of helicopters and tiltrotors. In: Dreier M E, ed. Introduction to Helicopter and Tiltrotor Flight Simulation. 2nd ed. Reston: American Institute of Aeronautics and Astronautics, 2018, 323–452
[23]
Das A, Lewis F, Subbarao K. Backstepping approach for controlling a quadrotor using Lagrange form dynamics. Journal of Intelligent & Robotic Systems, 2009, 56(1–2): 127–151
CrossRef Google scholar
[24]
Hess R A. Simplified technique for modelling piloted rotorcraft operations near ships. Journal of Guidance, Control, and Dynamics, 2006, 29(6): 1339–1349
CrossRef Google scholar
[25]
Linn D R, Langlois R G. Development and experimental validation of a shipboard helicopter on deck maneuvering simulation. Journal of Aircraft, 2006, 43(4): 895–906
CrossRef Google scholar
[26]
Zhu Z H, Larosa M, Ma J. Fatigue life estimation of helicopter landing probe based on dynamic simulation. Journal of Aircraft, 2009, 46(5): 1533–1543
CrossRef Google scholar
[27]
Xiao B, Cao L, Xu S, Robust tracking control of robot manipulators with actuator faults and joint velocity measurement uncertainty. IEEE/ASME Transactions on Mechatronics, 2020, 25(3): 1354–1365
CrossRef Google scholar
[28]
Cao L, Xiao B, Golestani M. Robust fixed-time attitude stabilization control of flexible spacecraft with actuator uncertainty. Nonlinear Dynamics, 2020, 100(3): 2505–2519
CrossRef Google scholar

Acknowledgements

This work was supported by the Hebei Province “Giant Plan”, China (Grant No. 4570031), the Hebei Province Natural Science Fund, China (Grant No. E2019203431), and the Foundation for Innovative Research Groups of the Natural Science Foundation of Hebei Province, China (Grant No. E2020203174).

RIGHTS & PERMISSIONS

2021 Higher Education Press
AI Summary AI Mindmap
PDF(1757 KB)

Accesses

Citations

Detail

Sections
Recommended

/