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Journal of Projectiles, Rockets, Missiles and Guidance >

2022 , Vol. 42 >Issue 1: 60 - 70

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2022.01.012

Overview of Operational Modal Parameter Identification for Structures of Rocket Launchers

  • MA Qinggang 1 ,
  • WANG Ziyang 2 ,
  • KANG Jie 3 ,
  • YUE Zhenjiang 1 ,
  • LIU Li 1
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  • 1 School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China
  • 2 Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China
  • 3 College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Received date: 2021-06-07

  Online published: 2025-02-21

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Abstract

Aiming at the operational modal analysis of rocket launchers, this paper gives an overview on the study of operational modal parameters identification for rocket launchers and an introduction of the widely used methods for this topic. Based on existing researches in this area, the basic process of modal identification and the features of the operational modal parameters for rocket launchers are summarized.Reliable operational modal parameters is significant for the structures of rocket launchers in many aspects, such as finite element model updating, adaptive control system design and real-time state monitoring, etc. Several key issues that should be researched further are introduced including robust identification method, modal difference analysis between space and ground, real-time intelligent control and decision-making, providing some enlightenment for the research development and engineering application of related technologies.

Key words： rocket launcher; structural modal parameters; operational modal identification

Cite this article

MA Qinggang , WANG Ziyang , KANG Jie , YUE Zhenjiang , LIU Li . Overview of Operational Modal Parameter Identification for Structures of Rocket Launchers[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2022 , 42(1) : 60 -70 . DOI: 10.15892/j.cnki.djzdxb.2022.01.012

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References

Publishing order | Descend order by publishing year | Descend order by cited within
[1]
李平岐, 何巍, 杨云飞. 液体运载火箭长细比设计研究[J]. 宇航总体技术, 2019, 3(3):12-8.

[2]
马道远, 刘伟, 李宇飞, 等. 运载火箭弹性频率快速预示方法[J]. 强度与环境, 2012, 39(1):29-33.

[3]
JANG J W, HALL R, BEDROSSIAN N, et al. Ares-I bending filter design using aconstrained optimization approach: AIAA 2008-6289[R]. Reston: AIAA, 2008.

[4]
NASA. Effects of structural flexibility on launch vehicle control systems: NASA-SP-8036[R]. Washington: NASA, 1970.

[5]
刘佳琦. 具有POGO振动的捆绑火箭建模与姿态控制[D]. 哈尔滨: 哈尔滨工业大学, 2015.

[6]
王建民, 荣克林, 冯颖川, 等. 捆绑火箭全箭动力学特性研究[J]. 宇航学报, 2009, 30(3):821-826.

[7]
BARTKOWICZ T J, JAMES G H. Ares I-X in-flight modal identification: AIAA 2011-2100[R]. Reston: AIAA, 2011.

[8]
邱吉宝, 王建民, 谭志勇. 运载火箭结构动力分析的一些新技术第二部分:运载火箭结构动力学分析[J]. 导弹与航天运载技术, 2001(4):16-21.

[9]
邱吉宝, 王建民. 运载火箭模态试验仿真技术研究新进展[J]. 宇航学报, 2007, 28(3):515-521.

[10]
VIVO A D, BRUTTI C, LEOFANTI J. Vega in-flight modal identification with the operational modal analysis technique[J]. Journal of Spacecraft and Rockets, 2014, 51(5): 1464-1473.

[11]
吴素春, 贾文成, 邱吉宝. 载人运载火箭全箭模态试验[J]. 宇航学报, 2005, 26(5):531-534.

[12]
贾文成, 王鹏辉, 张永亮. 新一代大型火箭全箭模态试验[J]. 强度与环境, 2017, 44(2):1-9.

[13]
CATHERINES J, 湘言. 土星V-发射脐带塔1/40缩比动力模型的振动特性[J]. 国外导弹技术, 1982(11):83-100.

[14]
MORINO Y, 于海昌.1/5缩尺H-II运载火箭的振动试验[J]. 国外导弹与航天运载器, 1988(10):49-59.

[15]
李应明, 王龙生. 取代液体对运载火箭试验动特性的影响[J]. 强度与环境, 1988(1):46-56.

[16]
于海昌. 大型运载器模态试验的支承方法与应用[J]. 宇航学报, 1993, 16(1):69-75.

[17]
中国科学院. 新型飞行器中的关键力学问题[M]. 北京: 科学出版社, 2018.

[18]
MAGALHãES F. Operational modal analysis for testing and monitoring of bridges and special structures[D]. Porto: University of Porto, 2010.

[19]
杨叔子, 吴雅, 轩建平. 时间序列分析的工程应用:下册[M]. 2版. 武汉: 华中科技大学出版社, 2007.

[20]
KATAYAMA T. Subspace methods for system identification[M]. London: Springer, 2005.

[21]
HEYLEN W, LAMMENS S, SAS P. Modal analysis theory and testing[M]. Leuven: Katholieke Universiteit Leuven, 1997.

[22]
PARLOO E. Application of frequency-domain system identification techniques in the field of operational modal analysis[D]. Brussel: Free University of Brussels, 2003.

[23]
周思达, 马志赛, 杨武, 等. 运行时变结构模态参数辨识理论与方法[M]. 北京: 科学出版社, 2019.

[24]
马志赛, 丁千, 刘莉, 等. 线性时变结构模态参数时域辨识方法的研究进展[J]. 机械工程学报, 2018, 54(23):151-173.

[25]
PEETERS B, VAN DER AUWERAER H, GUILLAUME P, et al. The PolyMAX frequency-domain method: a new standard for modal parameter estimation[J]. Shock and Vibration, 2004(11): 395-409.

[26]
IBRAHIM S R. Random decrement technique for modal identification of structures[J]. Journal of Spacecraft and Rockets, 1977, 14(11): 696-700.

[27]
IBRAHIM S R, PAPPA R S. Large modal survey testing using the Ibrahim time domain identification technique[J]. Journal of Spacecraft and Rockets, 1982, 19(5): 459-465.

[28]
BROWN D L, ALLEMANG R J, ZIMMERMAN R D, et al. Parameter estimation techniques for modal analysis[J]. SAE Paper, 1979, 88(2): 299-305.

[29]
OVERSCHEE P V, MOOR B D. Subspace algorithms for the stochastic identification problem[J]. Automatica, 1993, 29(3): 649-660.

[30]
PEETERS B, ROECK G D. Stochastic system identification for operational modal analysis: a review[J]. Journal of Dynamic Systems Measurement and Control, 2001, 123(4): 659-667.

[31]
MOORE S M, LAI J C S, SHANKAR K. ARMAX modal parameter identification in the presence of unmeasured excitation-I: theoretical background[J]. Mechanical Systems and Signal Processing, 2007, 21(4): 1601-1615.

[32]
MOORE S M, LAI J C S, SHANKAR K. ARMAX modal parameter identification in the presence of unmeasured excitation-II: numerical and experimental verification[J]. Mechanical Systems and Signal Processing, 2007, 21(4): 1616-1641.

[33]
AU S-K. Operational modal analysis: modeling, Bayesian inference, uncertainty laws[M]. Singapore: Springer Nature Singapore Pte Ltd., 2017.

[34]
REYNDERS E. System identification methods for (operational) modal analysis: review and comparison[J]. Archives of Computational Methods in Engineering, 2012, 19(1): 51-124.

[35]
KENNEDY C C, PANCU C D P. Use of vectors in vibration measurement and analysis[J]. Journal of the Aeronautical Sciences, 1947, 14(11): 603-625.

[36]
EWINS D. Modal testing: theory and practice[M]. London: Research Studies Press LTD., 2000.

[37]
WANG E. In-flight identification of the Galileo spacecraft flexible mode characteristics[J]. Journal of Guidance, Control, and Dynamics, 1986, 9(1): 92-98.

[38]
JAMES G, CARNE T, LAUFFER J. The natural excitation technique(NExT) for modal parameter extraction from operating wind turbines: SAND92-1666[R]. Albuquerque: Sandia National Laboratory report, 1993.

[39]
JAMES G, MO K, CAO T. Progress in operational analysis of launch vehicles in nonstationary flight[M]. New York: Springer, 2013.

[40]
李德葆, 陆秋海. 实验模态分析及其应用[M]. 北京: 科学出版社, 2001.

[41]
ZHOU W, CHELIDZE D. Generalized eigenvalue decomposition in time domain modal parameter identification[J]. Journal of Vibration and Acoustics, 2008, 130(1): 761-769.

[42]
FRANSEN S, RIXEN D, HENRIKSEN T, et al. On the operational modal analysis of solid rocket motors[J]. Structural Dynamics, 2011, 3: 453-463.

[43]
JAMES G, CARNE T, EDMUNDS R. STARS missile-modal analysis of first-flight data using the natural excitation technique, NExT,[C]// IMAC. Proceedings of 12th International Modal Analysis Conference. Bellingham: SPIE, 1994: 490-493.

[44]
JAMES G, CARNE T, MAREK E. In-situ model analysis of STARS missile flight data and comparison to pre-flight predictions from test-reconciled models[C]// Institute of Environmental Science and the Aerospace Corporation. Proceedings of the 15th Institute of Environmental Sciences Aerospace Testing Seminar. [S.l.:s.n.], 1994: 185-190.

[45]
PAPPA R, JAMES G, ZIMMERMAN D. Autonomous modal identification of the space shuttle tail rudder[J]. Journal of Spacecraft and Rockets, 1998, 35(2): 163-169.

[46]
JAMES G H, CAO T T, FOGT V A, et al. Extraction of modal parameters from spacecraft flight data[J]. Advanced Aerospace Applications, 2011, 1: 307-319.

[47]
GALLO V, GOURSAT M, GONIDOU L. Damping characterization & flight identification[EB/OL]. (2019-09-01)[2021-05-27]. https://arc.aiaa.org/doi/pdf/10.251416.IAC-06-C2.3.04.

[48]
GOURSAT M, DÖHLER M, MEVEL L, et al. Crystal clear SSI for operational modal analysis of aerospace vehicles[C]// IMAC. Proceedings of the 28th IMAC. Berlin: Springer, 2010: 125-132.

[49]
SCHWOCHOW J, JELICIC G. Automatic operational modal analysis for aeroelastic applications[EB/OL].(2015-05-17)[2021-05-27]. https://elib.dlr.de/96324/.

[50]
杜飞平, 谭永华, 陈建华, 等. 基于ARMA时序分析的液体火箭发动机模态参数辨识方法[J]. 火箭推进, 2010, 36(6):19-24.

[51]
王亮, 蔡毅鹏, 朱辰, 等. 基于ARMA-NExT的飞行器工作模态辨识技术研究[J]. 导弹与航天运载技术, 2017(1):18-21.

[52]
董严, 付小燕, 丁志伟. 基于多测点数据的火箭飞行模态参数识别方法[J]. 固体火箭技术, 2018, 41(4):520-523.

[53]
GUILLAUME P, VERBOVEN P, VANLANDUIT S. Frequency-domain maximum likelihood identification of modal parameters with confidence intervals[C]// I-INCE. Proceedings of the International Conference on Noise and Vibration Engineering. [S.l.:s.n.], 1998.

[54]
AUWERAER H, GUILLAUME P, VERBOVEN P, et al. Application of a fast-stabilizing frequency domain parameter estimation method[J]. Journal of Dynamic Systems Measurement and Control, 2001, 123(4): 651-658.

[55]
MANZATO S, PEETERS B, DEDILLE J. Tracking the evolution of modal properties of a solid propellant launcher during static firing test[J]. Topics in Modal Analysis, 2012, 5: 559-570.

[56]
JELICIC G, SCHWOCHOW J, GOVERS Y, et al. Online monitoring of aircraft modal parameters during flight test based on permanent output-only modal analysis: AIAA 297-1825[R]. Reston: AIAA.

[57]
COPPOTELLI G, GRAPPASONNI C, TRAPANI C. Operational modal analysis of a solid rocket motor from firing test[J]. Journal of Spacecraft and Rockets, 2013, 50(3): 632-640.

[58]
SCHULZE P C, DANOWSKY B P, YANG P J, et al. Real time modal identification of a flexible unmanned aerial vehicle: AIAA 2017-0018[R]. Reston: AIAA.

[59]
南宫自军, 戴新进, 王亮, 等. 航天飞行器飞行模态辨识技术应用及展望[J]. 强度与环境, 2017, 44(1):20-26.

[60]
BAARS W, TINNEY C, RUF J, et al. Wall pressure unsteadiness and side loads in overexpanded rocket nozzles[J]. AIAA Journal, 2015, 50(1): 61-73.

[61]
FABIGNON Y, DUPAYS J, AVALON G, et al. Instabilities and pressure oscillations in solid rocket motors[J]. Aerospace Science and Technology, 2003, 7(3): 191-200.

[62]
丰松江, 聂万胜, 郑永斌, 等. 新型液体火箭发动机燃烧不稳定性研究[J]. 工程热物理学报, 2009, 31(3):515-518.

[63]
PREVOST M, GODON J C, INNEGRAEVE O. Thrust oscillations in reduced scale solid rocket motors part I : experimental investigations: AIAA 2005-4003[R]. Reston: AIAA, 2005.

[64]
JACOB E J, FLANDRO G A. Thrust oscillations in large solid rocket boosters: AIAA 2008-4601[R]. Reston: AIAA, 2008.

[65]
荣克林, 张建华, 马道远, 等. CZ-2F火箭POGO问题研究[J]. 载人航天, 2011, 16(4):8-18.

[66]
袁赫. 考虑不确定性因素的运载火箭载荷分析方法研究[D]. 北京: 北京理工大学, 2019.

[67]
李星占, 岳晓斌, 黄文, 等. 振动响应传递率及其工作模态分析方法综述[J]. 振动与冲击, 2019, 38(18):24-34.

[68]
孙倩, 颜王吉, 任伟新. 基于响应功率谱传递比的桥梁结构工作模态参数识别方法[J]. 中国公路学报, 2019, 32(11):83-90.

DOI

[69]
周思达, 刘莉, 杨武, 等. 基于响应传递率的非白随机激励仅输出结构模态参数辨识[J]. 振动与冲击, 2014, 33(23):47-52.

[70]
邓先来, 纪国宜. 工作模态分析中周期激励的识别及消除[J]. 噪声与振动控制, 2012, 32(5):168-172.

DOI

[71]
李中付, 华宏星. 一种非稳态环境激励下线性结构的模态参数辨识方法[J]. 振动与冲击, 2008, 27(3):8-12.

[72]
胡异丁, 李丹, 任伟新, 等. 基于延时随机子空间方法的非白噪声环境激励结构模态参数识别[J]. 振动与冲击, 2015, 34(8):71-76.

[73]
高天赐. 非白噪声环境激励下的结构模态参数识别研究[D]. 南京: 南京航空航天大学, 2019.

[74]
余磊. 运载火箭时变结构模态参数的时域辨识方法研究[D]. 北京: 北京理工大学, 2019.

[75]
COCK K D, MERCèRE G, MOOR B D. Recursive subspace identification for in flight modal analysis of airplanes[C]// I-INCE. Proceedings of the International Conference on Noise and Vibration Engineering. [S.l.:s.n.]. 2006: 1563-1577.

[76]
WENG J H, LOH C H. Recursive subspace identification for on-line tracking of structural modal parameter[J]. Mechanical Systems and Signal Processing, 2011, 25(8): 2923-2937.

[77]
LIU Y C, LOH C H, NI Y Q. Stochastic subspace identification for output-only modal analysis: application to super high-rise tower under abnormal loading condition[J]. Earthquake Engineering and Structural Dynamics, 2013, 42(4): 477-498.

[78]
FOUSKITAKIS G N, FASSOIS S D. Functional series TARMA modelling and simulation of earthquake ground motion[J]. Earthquake Engineering & Structural Dynamics, 2002, 31(2): 399-420.

[79]
AVENDAñO-VALENCIA L D, FASSOIS S D. Stationary and non-stationary random vibration modelling and analysis for an operating wind turbine[J]. Mechanical Systems and Signal Processing, 2014, 47(1): 263-285.

[80]
罗德河, 郑东健, 甘声玄, 等. 基于ARMAX模型的混凝土坝损伤诊断[J]. 武汉大学学报(工学版), 2018, 51(4):294-298.

[81]
WU G R, HE M, LIANG P, et al. Automated modal identification based on improved clustering method[J/OL]. Mathematical Problems in Engineering, 2020, 2020: 16[2021-04-25]. https: //doi.org/10.1155/2020/5698609.

[82]
程兴, 高晨, 贾大玲, 等. 运载火箭动力学天地差异性分析技术[J]. 导弹与航天运载技术, 2019(4):57-62.

[83]
柯芳, 涅乌希宾. 飞行器智能控制系统研究进展[J]. 兵工学报, 2010, 31(7):939-949.

[84]
韦常柱, 琚啸哲, 张亮, 等. 弹性体运载火箭建模及控制器设计[J]. 宇航总体技术, 2017, 1(1):33-38.

[85]
孙平, 刘昆. 运载器弹性运动稳定控制方法综述[J]. 航天控制, 2010, 28(3):97-100.

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