Analysis of Impacts of Magnetorheological Landing Gear on Aircraft Dynamics Considering Wing Flexibility

ZHU Hengjia; YANG Likun; ZHU Shixing; FU Yibo

doi:10.7652/xjtuxb202212006

您当前的位置：

首页 >

文章列表页 >

Analysis of Impacts of Magnetorheological Landing Gear on Aircraft Dynamics Considering Wing Flexibility

更新时间：2025-07-09

- Analysis of Impacts of Magnetorheological Landing Gear on Aircraft Dynamics Considering Wing Flexibility
- Vol. 56, Issue 12, Pages: 56-67(2022)
- 作者机构：
  
  1. 中国民航大学航空工程学院,天津,300300
  2. 中国民航航空地面特种设备研究基地,天津,300300
  3. 中航西飞民用飞机有限责任公司工程技术中心,西安,710089
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202212006
  CLC： V226
- Online First：10 December 2022，
  
  Published：2022
- 稿件说明：
移动端阅览
ZHU Hengjia, YANG Likun, ZHU Shixing, et al. Analysis of Impacts of Magnetorheological Landing Gear on Aircraft Dynamics Considering Wing Flexibility[J]. 2022, 56(12): 56-67.
DOI：

ZHU Hengjia, YANG Likun, ZHU Shixing, et al. Analysis of Impacts of Magnetorheological Landing Gear on Aircraft Dynamics Considering Wing Flexibility[J]. 2022, 56(12): 56-67. DOI： 10.7652/xjtuxb202212006.

摘要

为研究飞机着陆过程中机翼柔性对磁流变起落架落振全过程动力学特性的影响

建立了集成单出杆磁流变减振器的飞机起落架落振动力学模型

并通过台架试验进行验证

进一步探究了柔性机翼飞机的磁流变起落架落振特性。考虑磁流变减振支柱内部尺寸、压力和流量变化、磁流变液特征

推导了磁流变减振起落架的磁流变阻尼力、压缩气体弹簧力、小孔阻尼力等集总参数动力学模型

并在Adams/View环境中建立磁流变起落架虛拟样机

模拟起落架落振台架试验工况进行仿真研究

仿真与试验对比结果表明

起落架总载荷峰值、垂直过载、动行程及轮胎压缩量相对误差均在10%左右。进一步地

将某型无人机的机翼简化为等截面悬臂梁

建立了考虑机翼柔性的磁流变减振起落架刚柔耦合动力学模型并进行落振动力学仿真分析

结果表明:机翼柔性会降低磁流变起落架减振系统载荷峰值和减振器最大行程; 当磁流变减振器的输入电流分别为0、1.2 A时

减振前期机翼产生变形载荷的峰值分别为起落架系统总载荷峰值的0.40%、0.41%

减振后期分别为1.96%、4.16%

落振时柔性机翼弯曲变形所吸收的冲击动能大部分是在减振后期释放; 通过改变输入电流实现磁流变减振器输出阻尼力的主动适应

可以在一定程度上缓解飞机着陆冲击

在延长飞机结构件的使用寿命上具有一定的工程价值。

Abstract

This paper investigates the effects of wing flexibility on aircraft dynamics during the entire landing process. A drop-shock dynamic model of the nose landing gear equipped with a single-rod magnetorheological(MR)shock absorber is established and validated through a bench test. The drop-shock dynamic characteristics of the MR landing gear of the aircraft with flexible wings are investigated. Considering the internal structure dimensions of the MR shock absorber strut

pressure and flow variations

and properties of the MR fluid

a lumped parameter dynamic model for the MR landing gear considering the MR damping resistance

compressed pneumatic spring force and orifice damping force is derived. In addition

virtual prototype of the MR landing gear is built in Adams/View environment to carry out simulation research under the same drop-shock conditions as in the bench test. The comparison between the simulation and test results show that the relative errors in the peak load

vertical overload ratio

maximum stroke of the landing gear and tire compression are all about 10%. Further

the wing of a certain unmanned aerial vehicle is simplified as a cantilever beam of uniform cross-section and a rigid-flexible coupled dynamic model for the MR landing gear considering wing flexibility is established for the drop-shock dynamic analyses. According to the numerical results

the wing flexibility can reduce the peak load of the MR landing gear and the maximum stroke of the shock absorber: When the input currents of the MR shock absorber are 0 A and 1.2 A

the peak load of the landing gear due to flexible wing deformation is respectively 0.4% and 0.41% of the total in the earlier stage of the landing process

and 1.96% and 4.16% respectively in the later stage of the landing process. This indicates that a large part of the impact energy absorbed by flexible wing deformation is released in the later stage. In conclusion

the damping adaptation of the MR shock absorber can be realized by changing the input current

which can alleviate the impact of aircraft landing and prolong the service life of aircraft structural components to a certain extent.

关键词

Keywords

references

聂宏, 魏小辉. 飞机起落架动力学设计与分析 [M]. 西安: 西北工业大学出版社, 2013.

LI Rui, ZHOU Mengjiao, WU Mengjuan, et al. Semi-Active predictive control of isolated bridge based on magnetorheological elastomer bearing [J]. Journal of Shanghai Jiaotong University(Science), 2019, 24(1): 64-70.

胡国良, 刘前结, 李刚, 等. 磁流变阻尼器参数对车辆悬架减振效果的影响 [J]. 机械科学与技术, 2018, 37(6): 930-936.

HU Guoliang, LIU Qianjie, LI Gang, et al. Influence of magnetorheological damper parameters on vibration attenuation effects for vehicle suspension system [J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(6): 930-936.

SHEHATA GAD A. Preview model predictive control controller for magnetorheological damper of semi-active suspension to improve both ride and handling [J]. SAE International Journal of Vehicle Dynamics, Stability, and NVH, 2020, 4(3): 305-326.

赵强, 赵吉业, 张娜. 车辆双磁流变阻尼器座椅悬架的建模及控制 [J]. 重庆理工大学学报(自然科学), 2018, 32(5): 37-42.

ZHAO Qiang, ZHAO Jiye, ZHANG Na. Modeling and control of vehicle seat suspension with dual magnetorheological dampers [J]. Journal of Chongqing University of Technology(Natural Science), 2018, 32(5): 37-42.

张磊. 基于磁流变阻尼器的飞机起落架控制方法研究 [D]. 天津: 中国民航大学, 2017.

于漪丁. 小型磁流变飞机起落架建模与缓冲控制研究 [D]. 沈阳: 沈阳航空航天大学, 2018.

黄敏, 李世佳. 基于磁流变减震器的飞机起落架控制研究 [J]. 首都师范大学学报(自然科学版), 2020, 41(4): 34-39.

HUANG Min, LI Shijia. Research on aircraft landing gear control based on magnetorheological damper [J]. Journal of Capital Normal University(Natural Science Edition), 2020, 41(4): 34-39.

胡海刚, 胡敏, 陈跃华, 等. 磁流变阻尼器双曲正切模型参数辨识方法 [J]. 船舶工程, 2017, 39(5): 31-34, 75.

HU Haigang, HU Min, CHEN Yuehua, et al. Parameter identification for hyperbolic tangent model of magneto rheological damper [J]. Ship Engineering, 2017, 39(5): 31-34, 75.

周勇, 冯志敏, 刘小锋, 等. 基于改进型RBF神经网络的磁流变阻尼器动力学建模及仿真 [J]. 船舶工程, 2019, 41(4): 88-94.

ZHOU Yong, FENG Zhimin, LIU Xiaofeng, et al. Dynamic modeling and simulation of magneto-rheological damper based on improved RBF neural network [J]. Ship Engineering, 2019, 41(4): 88-94.

刘石, 仲继泽, 冯永新, 等. 使用磁流变阻尼器的大型汽轮发电机定子端部绕组振动控制 [J]. 西安交通大学学报, 2013, 47(4): 39-43.

LIU Shi, ZHONG Jize, FENG Yongxin, et al. Magneto rheological technology of vibration isolation for stator end-winding of large generators [J]. Journal of Xi'an Jiaotong University, 2013, 47(4): 39-43.

薛晓敏, 孙清, 伍晓红, 等. 磁流变阻尼器滞回模型参数的敏感性分析及其简化模型 [J]. 西安交通大学学报, 2013, 47(7): 102-107.

XUE Xiaomin, SUN Qing, WU Xiaohong, et al. Simplified hysteretic model for magneto-rheological damper with parameter sensitivity analysis [J]. Journal of Xi'an Jiaotong University, 2013, 47(7): 102-107.

PINKOS A, SHTARKMAN E, FITZGERALD T. An actively damped passenger car suspension system with low voltage electro-rheological magnetic fluid [J]. JSAE Review, 1995, 16(2): 311-317.

CHOI Y T, WERELEY N M. Vibration control of a landing gear system featuring electrorheological/magnetorheological fluids [J]. Journal of Aircraft, 2003, 40(3): 432-439.

CHOI Y T, WERELEY N M. Biodynamic response mitigation to shock loads using magnetorheological helicopter crew seat suspensions [J]. Journal of Aircraft, 2005, 42(5): 1288-1295.

李生寿. 磁流变技术在飞机起落架减震器上的应用与研究 [D]. 成都: 电子科技大学, 2011.

祝世兴, 卢铭涛, 杨永刚, 等. 飞机起落架磁流变减震器的设计与试验研究 [J]. 机床与液压, 2014, 42(18): 36-45.

ZHU Shixing, LU Mingtao, YANG Yonggang, et al. Design and test of the magnetorheological damper of aircraft landing gear [J]. Machine Tool Hydraulics, 2014, 42(18): 36-45.

祝世兴, 王巍然. 两种磁流变阻尼器的结构设计与性能分析 [J]. 机床与液压, 2016, 44(3): 89-93.

ZHU Shixing, WANG Weiran. Structural design and performance analysis of two types of magnetorheological damper [J]. Machine Tool Hydraulics, 2016, 44(3): 89-93.

AHURÉ POWELL L A, CHOI Y T, HU Wei, et al. Nonlinear modeling of adaptive magnetorheological landing gear dampers under impact conditions [J]. Smart Materials and Structures, 2016, 25(11): 115011.

HAN C, KIM B G, CHOI S B. Design of a new magnetorheological damper based on passive oleo-pneumatic landing gear [J]. Journal of Aircraft, 2018, 55(6): 2510-2520.

KIM B G, HAN C, CHOI S B. Design and analysis of MR damper for airplane landing gear [J]. Transactions of the Korean Society for Noise and Vibration Engineering, 2018, 28(1): 102-109.

FU Li, GUAN Wei, WANG Qi, et al. Modeling and adaptive control of magneto-rheological buffer system for aircraft landing gear [J]. Applied Mathematical Modelling, 2015, 39(9): 2509-2517.

BATTERBEE D C, SIMS N D, STANWAY R, et al. Design and performance optimization of magneto-rheological oleopneumatic landing gear [C]∥Smart Structures and Materials 2005: Damping and Isolation. Bellingham, WA, USA: SPIE, 2005: 77-88.

DONG X M, XIONG G W. Vibration attenuation of magnetorheological landing gear system with human simulated intelligent control [J]. Mathematical Problems in Engineering, 2013, 2013: 242476.

FERDAUS M M, RASHID M M, HASAN M H, et al. Optimal design of magneto-rheological damper comparing different configurations by finite element analysis [J]. Journal of Mechanical Science and Technology, 2014, 28(9): 3667-3677.

SURESH P S, SIDDESH N N, RADHAKRISHNAN G. Dynamic landing response analysis of a flexible tailless delta wing aircraft [J]. International Journal of Aerospace Innovations, 2012, 4(3/4): 103-118.

MCPHERSON A E, EVANS J, LEVY S. Influence of wing flexibility on force-time relation in shock strut following vertical landing impact: NACA-TN-1995 [R]. Washington DC, USA: Neighborhood Assistance Corporation of America, 1949.

STACHIW T, KHOULI F, LANGLOIS R G, et al. The effect of airframe flexibility on dynamic landing gear loads [C]∥CASI AERO 2019. Montreal, QC, Canada: CASI, 2019: 14-16.

娄锐. 飞机起落架着陆的多体系统动力学建模与仿真 [D]. 南京: 南京航空航天大学, 2009.

牟让科, 罗俊杰. 飞机结构弹性对起落架缓冲性能的影响 [J]. 航空学报, 1995, 16(2): 205-208.

MU Rangke, LUO Junjie. Effect of aircraft structure flexibility on the shock-absorber behavior of landing gears [J]. Acta Aeronautica et Astronautica Sinica, 1995, 16(2): 205-208.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Sensitivity Analysis of Foil Geometrical Parameters for the Third-Generation CO2 Gas Foil Bearings Based on Design of Experiments Method

Turbulent Kinetic Energy Dissipation Mechanism of Supercritical Carbon Dioxide Leakage Flow in a Scallop Bionic Seal Cavity

Bi-Level Multi-Obj ective Optimization of a Wind-Solar Coupled Hydrogen Production System Based on the Synergy of Hybrid Electrolyzer Arrays

I/O Performance Modeling and Prediction Method for Large-Scale Parallel Applications Using Machine Learning

Diffusion Characteristics and Influencing Factors in Case of Hydrogen Leakage from Fuel Cell Vehicles Running in Tunnels

Related Author

No data

Related Institution

No data

⁰