耦合POD重构舰面流场的直升机舰面起降数值模拟

doi:10.7527/S1000-6893.2015.0253

流体力学与飞行力学

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耦合POD重构舰面流场的直升机舰面起降数值模拟

吉洪蕾, 陈仁良, 李攀

南京航空航天大学航空宇航学院直升机旋翼动力学国家级重点实验室, 南京 210016

收稿日期:2015-03-31 修回日期:2015-09-14 出版日期:2016-03-15 发布日期:2015-09-23
通讯作者: 陈仁良,Tel.:025-84892141,E-mail:crlae@nuaa.edu.cn E-mail:crlae@nuaa.edu.cn
作者简介:吉洪蕾,男,博士研究生。主要研究方向:直升机飞行动力学。Tel:025-84892141,E-mail:jhl@nuaa.edu.cn;陈仁良,男,博士,教授,博士生导师。主要研究方向:直升机飞行动力学、空气动力学、多学科优化设计。Tel:025-84892141,E-mail:crlae@nuaa.edu.cn;李攀,男,博士,副教授。主要研究方向:直升机空气动力学与飞行动力学。Tel:025-84892141,E-mail:lipan@nuaa.edu.cn
基金资助:
国家自然科学基金(51405227);中央高校基本科研业务费专项资金(NS2014011)

Numerical simulation of a helicopter operating in a reconstructed ship airwake based on POD method

JI Honglei, CHEN Renliang, LI Pan

National Laboratory of Science and Technology on Rotorcraft Aeromechanics, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received:2015-03-31 Revised:2015-09-14 Online:2016-03-15 Published:2015-09-23
Supported by:
National Natural Science Foundation of China(51405227);The Fundamental Research Funds for the Central Universities(NS2014011)

摘要/Abstract

摘要：

为解决舰面非定常流场数据量过大的问题,采用本征正交分解(POD)方法对舰面流场进行重构,发展了一种耦合POD重构流场的直升机舰面起降数值模拟方法。首先采用计算流体力学(CFD)方法计算舰面非定常流场,获得离散数据样本;然后提取流场的POD模态,并截取能够捕捉到原流场主要特征的少量模态对原流场进行重构;最后建立耦合重构舰面流场的直升机高阶飞行动力学模型。以直升机返航进场为例进行数值模拟,并将计算得到的操纵量和飞行状态与飞行试验结果进行对比。结果表明:使用POD方法重构后的舰面流场数据约为原始样本数据的8.5%,且重构流场与原始流场吻合良好,POD方法能够解决舰面非定常流场数据量过大的问题。与飞行试验数据的对比表明,本文方法捕捉到了舰面非定常流场对直升机的影响,可用于直升机舰面起降研究。

关键词: 直升机, 非定常, 舰面流场, 本征正交分解, 飞行动力学

Abstract:

The proper orthogonal decomposition(POD) method is used to reduce the large amount of ship airwake data and a simulation method of a helicopter operating in a reconstructed ship airwake based on the POD method is developed. Firstly, a commercial computational fluid dynamics(CFD) software is used to calculate and sample the unsteady ship airwake. Secondly, the POD mode functions of the sample data are extracted, and a small number of the mode functions can well capture the main characteristics of the original fluid field and are used to reconstruct the ship airwake. Finally, a higher-order helicopter flight dynamic model coupled with the reconstructed ship airwake is established. An example of a helicopter recovery task in an unsteady ship airwake is simulated, and the time histories of control stick inputs and helicopter states are compared with the flight test results. The results show that the reconstructed ship airwake data with the POD method is about 8.5% of the original sample data and the reconstructed fluid field agrees well with the original fluid field, so the POD method is useful for reducing the ship airwake data. The comparison between the simulation results and flight test data indicates that the impact of the unsteady ship airwake on helicopter is captured, therefore the simulation method is suitable for the research of a helicopter operating in an unsteady ship airwake.

Key words: helicopter, unsteady, ship airwake, proper orthogonal decomposition, flight dynamics

中图分类号:

V212.4

吉洪蕾, 陈仁良, 李攀. 耦合POD重构舰面流场的直升机舰面起降数值模拟[J]. 航空学报, 2016, 37(3): 771-779.

JI Honglei, CHEN Renliang, LI Pan. Numerical simulation of a helicopter operating in a reconstructed ship airwake based on POD method[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(3): 771-779.

参考文献

[1] REDDY K R, TOFFOLETTO R, JONES K R W. Numerical simulation of ship airwake[J]. Computers & Fluids, 2000, 29(4):451-465.
[2] CLEMENT W F. Development of a real-time simulation of a ship-correlated airwake model interfaced with a rotorcraft dynamic model[C]//AIAA/AHS Flight Simulation Technologies Conference. Reston:AIAA, 1992:127-137.
[3] 孙传伟, 高正, 孙文胜. 舰面流场对直升机上舰时悬停操纵的影响[J]. 南京航空航天大学学报, 1999, 31(6):614-619. SUN C W, GAO Z, SUN W S. Analysis of unmanned helicopter hovering in ship flow field over flight deck[J]. Nanjing University of Aeronautics and Astronautics, Journal, 1999, 31(6):614-619(in Chinese).
[4] POLSKY S A, BRUNER C W S. Time-accurate computational simulations of an LHA ship airwake[C]//18th AIAA Applied Aerodynamics Conference. Reston:AIAA, 2000:288-297.
[5] 顾蕴松, 明晓. 舰船飞行甲板真实流场特性试验研究[J]. 航空学报, 2001, 22(6):500-504. GU Y S, MING X. Experimental investigation on flow field properties around aft-deck of destroyer[J]. Acta Aeronautica et Astronautica Sinica, 2001, 22(6):500-504(in Chinese).
[6] BUNNELL J W. An integrated time-varying airwake in a UH-60 black hawk shipboard landing simulation[C]//AIAA Modeling and Simulation Technologies Conference and Exhibit. Reston:AIAA, 2001:1-8.
[7] LEE D, HORN J F. Simulation of pilot workload for a helicopter operating in a turbulent ship airwake[J]. Proceedings of the Institution of Mechanical Engineers, Part G:Journal of Aerospace Engineering, 2005, 219(5):445-458.
[8] FORREST J S, OWEN I, PADFIELD G D, et al. Ship-helicopter operating limits prediction using piloted flight simulation and time-accurate airwakes[J]. Journal of Aircraft, 2012, 49(4):1020-1031.
[9] RAJMOHAN N, ZHAO J, KIM J W, et al. An efficient POD based technique to model rotor/ship airwake interaction[C]//American Helicopter Society 68th Annual Forum. Fairfax:AHS, 2012:1-19.
[10] RAJAGOPALAN G, YAMAUCHI G K, SCHALLER D, et al. Experimental and computational simulation of a model ship in a wind tunnel[C]//43rd AIAA Aerospace Sciences Meeting and Exhibit. Reston:AIAA, 2005:1-31.
[11] 刘长猛, 郜冶. 滑跃式甲板气流场数值模拟[J]. 华中科技大学学报(自然科学版), 2012, 40(10):68-71. LIU C M, GAO Y. Numerical simulation of airwake around ski jump decks[J]. Journal of Huazhong University of Science and Technology(Natural Science Edition), 2012, 40(10):68-71(in Chinese).
[12] MENTER F R. Two-equation eddy-viscosity turbulence models for engineering applications[J]. AIAA Journal, 1994, 32(8):1598-1605.
[13] SIROVICH L. Turbulence and the dynamics of coherent structures. I-Coherent structures. Ⅱ-Symmetries and transformations. Ⅲ-Dynamics and scaling[J]. Quarterly of Applied Mathematics, 1987, 45(3):561-571.
[14] LY H V, TRAN H T. Proper orthogonal decomposition for flow calculations and optimal control in a horizontal CVD reactor[J]. Quarterly of Applied Mathematics, 1998, 60(4):631-656.
[15] HOWLETT J J. UH-60 black hawk engineering simulation program:volume I-mathematical model:NASA CR-166309[R]. Washington, D.C.:NASA, 1981.
[16] 李攀, 陈仁良. 直升机急拉杆机动飞行仿真建模与验证[J].航空学报, 2010, 31(12):2315-2323. LI P, CHEN R L. Formulation and validation of a helicopter model for pull-up maneuver simulation[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(12):2315-2323(in Chinese).
[17] PITT D M, PETERS D A. Theoretical prediction of dynamic inflow derivatives[J]. Vertica, 1981, 5(1):21-34.
[18] PETERS D A, NINH H Q. Dynamic inflow for pratical applications[J]. Journal of the American Helicopter Society, 1988, 33(4):64-68.
[19] McRuer D T, KRENDEL E S. Mathematical models of human pilot behavior:AGARDograph AG-188[R]. Neuilly-sur-Seine, France:AGARD, 1973.
[20] XIN H, HE C J. A combined technique for inverse simulation applied to rotorcraft shipboard operations[C]//American Helicopter Society 58th Annual Forum. Fairfax:AHS, 2002:1-19.

E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

耦合POD重构舰面流场的直升机舰面起降数值模拟

Numerical simulation of a helicopter operating in a reconstructed ship airwake based on POD method

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