面向InSAR的空气扰动影响机翼挠曲变形建模

doi:10.13700/j.bh.1001-5965.2019.0172

北京航空航天大学学报 ›› 2020, Vol. 46 ›› Issue (1): 38-50.doi: 10.13700/j.bh.1001-5965.2019.0172

面向InSAR的空气扰动影响机翼挠曲变形建模

朱庄生^1,2,3, 张萌^1,2,3

1. 北京航空航天大学仪器科学与光电工程学院, 北京 100083;
2. 惯性技术重点实验室, 北京 100083;
3. 新型惯性仪表与导航系统技术国防重点学科实验室, 北京 100083

收稿日期:2019-04-22 发布日期:2020-01-21
通讯作者: 朱庄生 E-mail:zszhu@buaa.edu.cn
作者简介:朱庄生,男,博士,副研究员。主要研究方向:惯性导航/组合导航、静动态变形GNSS/光学/惯性精密测量技术;张萌,女,硕士研究生。主要研究方向:静动态机翼变形测量、惯性导航/组合导航。
基金资助:
国家自然科学基金（61873019，61573040，61421063，61661136007，61703021，61722103，61571030，61473020）；航空科学基金（20170551004）

Air disturbance affecting wing deflection deformation modeling for InSAR

ZHU Zhuangsheng^1,2,3, ZHANG Meng^1,2,3

1. School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100083, China;
2. Science & Technology on Inertial Laboratory, Beijing 100083, China;
3. Key Laboratory of Fundamental Science for National Defense-Novel Inertial Instrument & Navigation System Technology, Beijing 100083, China

Received:2019-04-22 Published:2020-01-21
Supported by:
National Natural Science Foundation of China (61873019,61573040,61421063,61661136007,61703021,61722103,61571030,61473020); Aeronautical Science Foundation of China (20170551004)

摘要/Abstract

摘要： 针对多节点InSAR机翼挠曲变形误差问题，提出了一种基于机理模型综合参数辨识的方法对空气扰动影响机翼挠曲变形分层建模。首先，将大气湍流作为InSAR成像工作段的主要空气扰动，并基于Dryden模型分析得出了载机工作高度和速度是影响大气湍流的主要因素，将大气湍流影响机翼挠曲变形建模转换为载机在不同工作状态（高度变化、速度变化）的机翼挠曲变形分层建模。其次，基于空气动力学理论及悬臂梁变形理论建立机翼挠曲变形机理模型，借助计算流体力学与计算结构力学仿真分析获取实验数据辨识模型参数。最后，通过仿真实验验证，所提方法与模态叠加原理计算横向位移精度均优于0.6 mm（相对误差0.3%），轴向位移精度均优于0.015 mm（相对误差0.2%）。对实验室搭建的分布式光纤光栅测量系统进行测试，利用模态叠加原理计算变形量来验证所提方法，横向位移精度优于0.3 mm（相对误差1%），轴向位移精度优于0.06 mm（相对误差3%）。

关键词: InSAR, 机翼挠曲变形, 大气湍流, 参数辨识, 回归分析, 模态叠加原理

Abstract: For the problem of multi-node InSAR wing deflection deformation error, a method based on mechanism modeling integrated parameter identification is proposed for the layered modeling of wing deflection deformation induced by air disturbance. First, this model takes atmospheric turbulence as the main air disturbance in the InSAR imaging working section, and based on Dryden model, it is analyzed that the working height and speed of the aircraft are the main factors affecting atmospheric turbulence. Therefore, the modeling of wing deformation affected by atmospheric turbulence is transformed to the layered modeling of wing deformation under different working conditions (height change, velocity change). Second, the wing deformation mechanism model is established based on the combination of the aerodynamic theory and the cantilever beam deformation theory. The parameters of the model are identified by the experimental data obtained from the simulation analysis of computational fluid dynamics and computational structural mechanics. Finally, the simulation experiments show that, calculated by both the proposed method and the mature modal superposition principle, the lateral displacement error is better than 0.6 mm (relative error 0.3%) and the axial displacement error is better than 0.015 mm (relative error 0.2%). In addition, based on the distributed fiber Bragg grating measurement system of wing structure built in the laboratory and the principle of modal superposition, the deformation is calculated to verify the proposed method, the lateral displacement error is better than 0.3 mm (relative error 1%) and the axial relative error is better than 0.06 mm (relative error 3%).

Key words: InSAR, wing deflection deformation, atmospheric turbulence, parameter identification, regression analysis, modal superposition principle

中图分类号:

朱庄生, 张萌. 面向InSAR的空气扰动影响机翼挠曲变形建模[J]. 北京航空航天大学学报, 2020, 46(1): 38-50.

ZHU Zhuangsheng, ZHANG Meng. Air disturbance affecting wing deflection deformation modeling for InSAR[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(1): 38-50.

参考文献

[1] 潘舟浩,刘波,张清娟,等.三基线毫米波InSAR的相位解缠及高程反演[J].红外与毫米波学报,2013,32(5):474-480.PAN Z H,LIU B,ZHANG Q J,et al.Millimeter-wave InSAR phase unwrapping and DEM reconstruction based on three-baseline[J].Journal of Infrared and Millimeter Waves,2013,32(5):474-480(in Chinese).
[2] XU W, CHANG E C, KWOH L K, et al.Phase-unwrapping of SAR interferogram with multi-frequency or multi-baseline[C]//IEEE International Geoscience and Remote Sensing Symposium.Piscataway,NJ:IEEE Press,1994:4986460.
[3] ZHANG K,WU D,WANG S,et al.A new method for estimating unambiguous phase observations of re-identified coherent targets for multi-baseline InSAR techniques[J].Remote Sensing Letters,2017,8(12):1172-1179.
[4] WANG B,DENG Z H,LIU C,et al.Estimation of information sharing error by dynamic deformation between inertial navigation systems[J].IEEE Transactions on Industrial Electronics,2014,61(4):2015-2023.
[5] DAI H D,LUA J H,GUO W.IMU based deformation estimation about the deck of large ship[J].Optik,2016,127(7):3535-3540.
[6] MAJEED S, FANG J.Performance improvement of angular rate matching shipboard transfer alignment[C]//International Conference on Electronic Measurement & Instruments.Piscataway,NJ:IEEE Press,2009:10962531.
[7] 解春明,赵剡,杨传春.传递对准滤波中机翼变形噪声的在线补偿算法[J].系统工程与电子技术,2011,33(2):370-375.XIE C M, ZHAO Y,YANG C C.Online compensation algorithm of wing flexure noise in transfer alignment filtering[J].Systems Engineering and Electronics,2011,33(2):370-375(in Chinese).
[8] KAIN J E,CLOUTIER J R.Rapid transfer alignment for tactical weapon applications:AIAA-89-3581[R].Reston:AIAA,1989.
[9] WENDEL J,METZGER J,TROMMER G F.Rapid transfer alignment in the presence of time correlated measurement and system noise:AIAA-2004-4778[R].Reston:AIAA,2004.
[10] DUREN R M,LIEBE C C.The SRTM sub-arcsecond metrology camera[C]//IEEE Aerospace Conference.Piscataway,NJ:IEEE Press,2001:2037-2046.
[11] RICHARDS L,PARKER A R,KO W L,et al.Fiber optic wing shape sensing on NASA's Ikhana UAV[R]:Washington,D.C.:NASA,2008:5-13.
[12] 孙东科,林家浩.利用CFD计算技术进行机翼模型气动特性分析[J].航空计算技术,2010,40(1):21-24.SUN D K,LIN J H.Aerodynamic analysis of NACA0012 airfoil model using CFD[J].Aeronautical Computing Technique,2010,40(1):21-24(in Chinese).
[13] 王云,徐江锋.基于预变形设计的柔性机翼气动性能分析[J].南昌航空大学学报(自然科学版),2013,27(2):47-51.WANG Y,XU J F.Analysis of aerodynamics characteristic of flexible wing on pre-deformation[J].Joumal of Nanchang Hangkong University(Natural Sciences),2013,27(2):47-51(in Chinese).
[14] 陈志敏,徐敏,陈士橹.跨声速静气动弹性结构响应分析[J].空军工程大学学报(自然科学版),2005,6(1):1-4.CHEN Z M,XU M,CHEN S L.An analysis of structure response for transonic static aeroelasticity[J].Journal of Air Force Engineering University(Natrnal Science Edition),2005,6(1):1-4(in Chinese).
[15] 张华,马东立,马铁林.弹性变形对柔性机翼气动特性影响分析[J].北京航空航天大学学报,2008,34(5):487-490.ZHANG H,MA D L,MA T L.Analysis of aerodynamics characteristic of flexible wing caused by deflection[J].Journal of Beijing University of Aeronautics and Astronautics,2008,34(5):487-490(in Chinese).
[16] GONZALEZ J H, BACHMANN M, SCHEIBER R, et al.TanDEM-X DEM calibration and processing experiments with E-SAR[C]//IEEE International Geoscience and Remote Sensing Symposium.Piscataway,NJ:IEEE Press,2008:10460434.
[17] LOU Y.Review of the NASA/JPL airborne synthetic aperture radar system[C]//IEEE International Geoscience and Remote Sensing Symposium.Piscataway,NJ:IEEE Press,2002:1702-1704.
[18] SØREN N M,MARTIN J M, ZEBKER H A.Analysis and evaluation of the NASA/JPL TOPSAR across-track interferometric SAR system[J].IEEE Transactions on Geoscience and Remote Sensing,1995,33(2):383-391.
[19] 李道京.毫米波干涉合成孔径雷达[J].高科技与产业化,2013,9(11):40-43.LI D J.Millimeter wave interference synthetic aperture radar[J].High-Technology & Industrialization,2013,9(11):40-43(in Chinese).
[20] 黄刚,刘力荣,史雪静,等.国产机载微型InSAR系统的DEM精度分析[J].测绘科学,2017,42(8):128-133.HUANG G,LIU L R,SHI X J,et al.Accuracy analysis of DEM based on domestic airborne mini-InSAR system[J].Science of Surveying and Mapping,2017,42(8):128-133(in Chinese).
[21] 朱庄生,郭韬.分布式POS传递对准对InSAR干涉测量影响的分析[J].中国惯性技术学报,2014,22(4):432-438.ZHU Z S,GUO T.Effect of distributed POS transfer alignment on InSAR interferometic measurement[J].Journal of Chinese Inertial Technology, 2014,22(4):432-438(in Chinese).
[22] 中国人民解放军总装备部.中国参考大气(地面~80 km):GJB 5601-2006[S].北京:总装备部军标出版发行部,2006.PLA General Armament Department.China reference atmosphere(ground~80 km):GJB 5601-2006[S].Beijing:General Armament Department Military Standard Publishing Department,2006(in Chinese).
[23] 胡明宝,肖文建.风廓线雷达中风切变分析方法的初步研究[J].气象科学,2010,30(4):510-515.HU M B,XIAO W J.The preliminary study on analysis method of wind shear using wind profiler[J].Journal of the Meteorological Sciences, 2010,30(4):510-515(in Chinese).
[24] 张序,刘岷江.飞行中风切变的判断及处置[J].航空安全,2008(6):62-64.ZHANG X,LIU M J.Judgement and handlig of windshear during flight[J].Safety & Security,2008(6):62-64(in Chinese).
[25] 陈楠.某大型客机受突风载荷作用产生的非定常气动力计算[D].南京:南京航空航天大学,2013.CHEN N.The calculation of unsteady aerodynamics effected by gusts upon an airliner[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2013(in Chinese).
[26] ETKIN B.Turbulent wind and its effect on flight[J].Journal of Aircraft,2012,18(5):327-345.
[27] 赵震炎,肖业伦,施毅坚.Dryden大气紊流模型的数字仿真技术[J].航空学报,1986,7(5):433-443.ZHAO Z Y,XIAO Y L,SHI Y J.A digital simulation for Dryden atmospheric turbulence model[J].Acta Aeronautica et Astronautica Sinica,1986,7(5):433-443(in Chinese).
[28] 高静,洪冠新,梁灶清.Von Karman模型三维大气紊流仿真理论与方法[J].北京航空航天大学学报,2012,38(6):736-740.GAO J,HONG G X,LIANG Z Q.Theory and method of numerical simulation for 3D atmospheric turbulence field based on Von Karman model[J].Journal of Beijing University of Aeronautics and Astronautics,2012,38(6):736-740(in Chinese).
[29] TATOM F B, SMITH S R, FICHTL G H.Simulation of atmospheric turbulent gusts and gust gradients[J].Journal of Aircraft,1981,19(4):264-271.
[30] 高振兴.复杂大气扰动下大型飞机飞行实时仿真建模研究[D].南京:南京航空航天大学,2009.GAO Z X.Research on real-time flight simulation of large aircraft in complex atmospheric disturbance[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2009(in Chinese).
[31] 詹斌.石墨烯增强纳米复合材料变形机理与力学建模研究[D]:杭州:浙江大学,2018.ZHAN B.On deformation mechanism and modeling of graphene-reinforced nanocomposites[D].Hangzhou:Zhejiang University,2018(in Chinese).
[32] ANGERER B T, HINTZ C, SCHRODER D.Online identification of a nonlinear mechatronic system[J].Control Engineering Practice,2004,12(11):1465-1478.
[33] SOL H,HUA H,VISSCHER J D,et al.A mixed numerical/experimental technique for the nondestructive identification of the stiffness properties of fibre reinforced composite materials[J].NDT & E International,1997,30(2):85-91.
[34] 关永亮.复合材料无人机结构和飞行动力学关键技术研究[D].北京:中国科学院大学,2017.GUAN Y L.Research on key tecnologies of structural and flight dynamics for a composite unmanned aerial vehicle[D].Beijing:University of Chinese Academy of Sciences,2017(in Chinese).
[35] 张立.机翼结构的多约束拓扑优化方法及其应用研究[D].沈阳:沈阳航空航天大学,2017.ZHANG L.Multi constrainst optimization method and application research of wing structure[D].Shenyang:Shenyang Aerospace University,2017(in Chinese).
[36] 刘鸿文.材料力学[M].4版.北京:高等教育出版社,2004:188-190.LIU H W.Mechanics of materials[M].4th ed.Beijing:Higher Education Press,2004:188-190(in Chinese).
[37] 史志伟,倪芳原,陈永亮.基于两步线性回归的状态空间模型建立与验证[J].空气动力学学报,2013,31(6):699-703.SHI Z W,NI F Y,CHEN Y L.The state-space models based on two-step linear regression method[J].Acta Aerodynamica Sinica,2013,31(6):699-703(in Chinese).
[38] KIM H I,KANG L H,HAN J H.Shape estimation with distributed fiber Bragg grating sensors for rotating structures[J].Smart Materials & Structures,2011,20(3):035011.

面向InSAR的空气扰动影响机翼挠曲变形建模

Air disturbance affecting wing deflection deformation modeling for InSAR

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	丁红兵, 李一鸣, 李金霞, 王超. 微型探头-传感系统高频响应特性模型适应性[J]. 北京航空航天大学学报, 2019, 45(8): 1519-1528.
[2]	徐琅, 李卫东, 王秀凤, 万敏. 预载荷下板料激光弯曲成形的工艺参数分析[J]. 北京航空航天大学学报, 2017, 43(6): 1149-1154.
[3]	刘青, 李阳. 基于多尺度径向基函数的时变系统辨识[J]. 北京航空航天大学学报, 2015, 41(9): 1722-1728.
[4]	刘超, 刘刚. 基于转子不平衡响应的磁轴承磁力参数辨识[J]. 北京航空航天大学学报, 2015, 41(7): 1246-1252.
[5]	郭彦青, 付永领, 张朋, 陈娟. 电液负载模拟器摩擦参数辨识及补偿[J]. 北京航空航天大学学报, 2014, 40(9): 1256-1262.
[6]	张铁, 戴孝亮, 杜亮. 基于距离测量的机器人误差标定及参数选定[J]. 北京航空航天大学学报, 2014, 40(5): 585-590.
[7]	王云峰, 程伟, 陈江攀. 基于状态空间和NR-LMS的结构参数辨识方法[J]. 北京航空航天大学学报, 2014, 40(4): 517-522.
[8]	刘小雄, 孙逊, 唐强, 章卫国. 飞机机翼故障的动态飞行包线估算方法[J]. 北京航空航天大学学报, 2013, 39(11): 1515-1519.
[9]	雷玲, 周荫清, 李景文, Roland Burgmann. PS-InSAR技术在伯克利山滑坡监测中的应用[J]. 北京航空航天大学学报, 2012, (9): 1224-1226.
[10]	李汝宁, 何勇灵. 基于遗传算法的柴油机喷油系统模型参数辨识[J]. 北京航空航天大学学报, 2012, (4): 464-467,472.
[11]	刘佳, 陈五一. 杯形陶瓷CBN砂轮修整工艺及参数优化[J]. 北京航空航天大学学报, 2012, (3): 374-379.
[12]	王道震, 张晓杰, 舒晓芬. 均匀设计在弹上部件加速寿命试验中的应用[J]. 北京航空航天大学学报, 2010, 36(9): 1113-1116.
[13]	姚建勇, 焦宗夏. 改进型LuGre模型的负载模拟器摩擦补偿[J]. 北京航空航天大学学报, 2010, 36(7): 812-815.
[14]	张鹏飞, 程伟, 王和, 赵煜. 航天器反作用轮扰动建模及参数辨识[J]. 北京航空航天大学学报, 2010, 36(7): 879-882.
[15]	胡燕慧, 钟群鹏, 张峥, 韩邦成. 超声振动载荷下S06钢的长寿命疲劳性能[J]. 北京航空航天大学学报, 2010, 36(4): 464-468.