留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

空间引力波探测全链路动态仿真系统设计与实现

蔡志鸣,  杨中光,  郑多锦,  韩瑞龙,  冯建朝,  汤宁标,  刘野,  范一迪,  王鹏程,  侍行剑,  陈琨

蔡志鸣, 杨中光, 郑多锦, 等. 空间引力波探测全链路动态仿真系统设计与实现[J]. 中国光学(中英文), 2026, 19(5): 1213-1225. doi: 10.3724/CO.2026-0084
引用本文: 蔡志鸣, 杨中光, 郑多锦, 等. 空间引力波探测全链路动态仿真系统设计与实现[J]. 中国光学(中英文), 2026, 19(5): 1213-1225. doi: 10.3724/CO.2026-0084
CAI Zhi-ming, YANG Zhong-guang, ZHENG Duo-jin, et al. Design and implementation of a full-chain dynamic simulation system for space-based gravitational wave detection[J]. Chinese Optics, 2026, 19(5): 1213-1225. doi: 10.3724/CO.2026-0084
Citation: CAI Zhi-ming, YANG Zhong-guang, ZHENG Duo-jin, et al. Design and implementation of a full-chain dynamic simulation system for space-based gravitational wave detection[J]. Chinese Optics, 2026, 19(5): 1213-1225. doi: 10.3724/CO.2026-0084

空间引力波探测全链路动态仿真系统设计与实现

cstr: 32171.14.CO.2026-0084
基金项目: 国家重点研发计划(No. 2024YFC2207201,No.2021YFC2202902)
详细信息
    作者简介:

    蔡志鸣(1984—),男,浙江温州人,博士,正高级工程师,2025年于浙江大学获得博士学位,主要从事空间科学卫星系统设计等方面的研究。E-mail:caizm@microsate.com

    杨中光(1989—),男,山东潍坊人,博士,副研究员,2018年于西北工业大学获得博士学位,主要从事空间引力波探测、多物理场建模与航天器自主导航等方面的研究。E-mail:yangzg@microsate.com

  • 中图分类号: V19

Design and implementation of a full-chain dynamic simulation system for space-based gravitational wave detection

Funds: Supported by the National Key Research and Development Program (No. 2024YFC2207201, No. 2021YFC2202902)
More Information
  • 摘要:

    针对空间引力波探测中传统静态噪声叠加方法未考虑多物理场与控制系统之间的动态耦合,难以满足高保真度任务仿真需求的问题,本文提出并设计了一套空间引力波探测全链路动态仿真系统,建立了多物理场与控制系统之间的闭环反馈能力。该系统采用动态闭环架构,包含航天器多物理场仿真模块、全链路噪声仿真模块、无拖曳控制仿真模块及数据处理分析模块。其中,物理场状态基于控制作用后的航天器状态计算生成,噪声由物理场状态经全链路噪声模型映射生成。该系统实现了全链路噪声的物理源头追溯与动态仿真。由仿真实验可知,可移动光学组件(MOSA)运动与燃料消耗引起的自引力加速度扰动在观测频段(0.1 mHz~1 Hz)内可达10−13 m·s−2· Hz−1/2量级以上,需通过高精度在轨测量与标定等方法进行补偿或扣除。所构建的系统能够捕捉静态模型忽略的动态耦合效应,为空间引力波探测的任务设计、噪声溯源与灵敏度评估提供高保真度仿真平台。

     

  • 图 1  全链路仿真系统核心模块关系示意图

    Figure 1.  Core module relationship diagram of the full-chain simulation system

    图 2  航天器多物理场仿真计算模块接口示意图

    Figure 2.  Schematic diagram of the interface for the spacecraft multi-physics simulation module

    图 3  系统仿真运行流程框图

    Figure 3.  Flowchart of system simulation operation

    图 4  仿真系统界面

    Figure 4.  User interface of simulation system

    图 5  灵敏度曲线

    Figure 5.  Sensitivity curves

    图 6  理想灵敏度曲线

    Figure 6.  Ideal sensitivity curves

    图 7  总光程噪声时域曲线

    Figure 7.  Time-domain curve of total optical path length noise

    图 8  总光程噪声频域曲线

    Figure 8.  Frequency-domain curve of total optical path length noise

    图 9  总残余加速度噪声时域曲线

    Figure 9.  Time-domain curve of total residual acceleration noise

    图 10  总残余加速度噪声频域曲线

    Figure 10.  Frequency-domain curve of total residual acceleration noise

    图 11  电磁扰动残余加速度噪声曲线

    Figure 11.  Electromagnetic disturbance residual acceleration noise curve

    图 12  自引力加速度噪声曲线

    Figure 12.  Noise curve of self-gravity acceleration

    图 13  辐射残余加速度噪声曲线

    Figure 13.  Radiation residual acceleration noise curve

    图 14  热致残余加速度噪声曲线

    Figure 14.  Thermal residual acceleration noise curve

    图 15  燃料消耗引起的自引力噪声

    Figure 15.  Self-gravity noise induced by fuel consumption

    图 16  MOSA转动引起的自引力噪声结果

    Figure 16.  Self-gravity noise induced by MOSA rotation

    图 17  燃耗与MOSA运动引起的自引力实时计算示意图

    Figure 17.  Schematic diagram of real-time self-gravity calculation for fuel consumption and MOSA motion

    图 18  不考虑燃料消耗与MOSA运动后的灵敏度仿真曲线

    Figure 18.  Sensitivity curves without considering fuel consumption and MOSA motion

    表  1  系统初始化参数

    Table  1.   Initial parameters configuration

    序号 参数名称 参数初值 单位
    1. 航天器1轨道初始位置(J2000.0日心黄道惯性系) [23957187920.4373,
    147231689435.394,
    −743327719.789878]
    m
    2. 航天器1轨道初始速度(J2000.0日心黄道惯性系) [−29456.6666347458,
    4946.21532689005,
    259.702466544323]
    m/s
    3. 航天器2轨道初始位置(J2000.0日心黄道惯性系) [25656431536.5843,
    148250892153.976,
    1495414337.05697]
    m
    4. 航天器2轨道初始速度(J2000.0日心黄道惯性系) [−29179.5437631783,
    5049.83621726837,
    0.103103604679852]
    m/s
    5. 航天器3轨道初始位置(J2000.0日心黄道惯性系) [26914335435.3447,
    146719986739.374,
    −743338173.419257]
    m
    6. 航天器3轨道初始速度(J2000.0日心黄道惯性系) [−29405.7565753330,
    5240.56479108545,
    −259.494463138804]
    m/s
    7. 检验质量块质量 1.95 kg
    8. 检验质量边长 0.046 m
    9. 检验质量磁化率 3×10−6 /
    10. 检验质量剩磁矩 2×10−8 A·m2
    11. 检验质量残余电荷量 1.6022×10−12 C
    12. 检验质量与电极的间隙 0.004 m
    13. 激光波长 1.064×10−6 m
    14. 外差频率 1.8×107 Hz
    15. 外差干涉效率 0.7 /
    16. 调制深度 0.53 /
    17. 光纤温度稳定系数 1×10−12 rad·K−1·m−1· Hz−1
    18. 电缆温度稳定系数 7×10−12 rad·K−1·m−1· Hz−1
    19. 本地激光功率 0.00175 W
    20. 航天器接收激光功率 1.77×10−9 W
    21. 检验质量接收激光功率 1×10−4 W
    22. 激光相对功率波动 1×10−4 Hz−1/2
    23. 星间测距误差 0.1 m
    24. 时钟稳定性 4×10−14 s·Hz−1/2
    25. 出气因子 2.5 /
    26. 残余气体质量 6.65×10−27 kg
    27. 残余气体压强 1×10−6 Pa
    下载: 导出CSV
  • [1] 罗子人, 白姗, 边星, 等. 空间激光干涉引力波探测[J]. 力学进展, 2013, 43(4): 415-447.

    LUO Z R, BAI SH, BIAN X, et al. Gravitational wave detection by space laser interferometry[J]. Advances in Mechanics, 2013, 43(4): 415-447. (in Chinese).
    [2] ABBOTT B P, ABBOTT R, ABBOTT T D, et al. Observation of gravitational waves from a binary black hole merger[J]. Physical Review Letters, 2016, 116(6): 061102. doi: 10.1103/PhysRevLett.116.061102
    [3] WANNER G. Space-based gravitational wave detection and how LISA Pathfinder successfully paved the way[J]. Nature Physics, 2019, 15(3): 200-202. doi: 10.1038/s41567-019-0462-3
    [4] DANZMANN K, RÜDIGER A. LISA technology—concept, status, prospects[J]. Classical and Quantum Gravity, 2003, 20(10): S1-S9. doi: 10.1088/0264-9381/20/10/301
    [5] PRINCE T A, TINTO M, LARSON S L, et al. LISA optimal sensitivity[J]. Physical Review D, 2002, 66(12): 122002. doi: 10.1103/PhysRevD.66.122002
    [6] LUO Z R, GUO Z K, JIN G, et al. A brief analysis to Taiji: science and technology[J]. Results in Physics, 2020, 16: 102918. doi: 10.1016/j.rinp.2019.102918
    [7] LUO Z R, WANG Y, WU Y L, et al. The Taiji program: a concise overview[J]. Progress of Theoretical and Experimental Physics, 2021, 2021(5): 05A108. doi: 10.1093/ptep/ptaa083
    [8] LYU M H, ZHU L, QU SH B, et al. A finite element method for high-precision calculation of spacecraft self-gravity effects in gravitational wave detection[J]. Acta Astronautica, 2025, 235: 215-222. doi: 10.1016/j.actaastro.2025.05.028
    [9] BOND C, BROWN D, FREISE A, et al. Interferometer techniques for gravitational-wave detection[J]. Living Reviews in Relativity, 2016, 19(1): 3. doi: 10.1007/s41114-016-0002-8
    [10] 王娟, 齐克奇, 王少鑫, 等. 面向空间引力波探测的激光干涉技术研究进展及展望[J]. 中国科学: 物理学 力学 天文学, 2024, 54(7): 270405.

    WANG J, QI K Q, WANG SH X, et al. Advance and prospect in the study of laser interferometry technology for space gravitational wave detection[J]. Scientia Sinica Physica, Mechanica & Astronomica, 2024, 54(7): 270405. (in Chinese).
    [11] 柯俊. 空间惯性传感器中检验质量噪声的理论建模与仿真研究[D]. 武汉: 中国地质大学, 2024.

    KE J. Theoretical modeling and simulation for the test mass noise of space inertial sensors[D]. Wuhan: China University of Geosciences, 2024. (in Chinese).
    [12] LIU H SH, WANG J, TAO W, et al. Recent development of the laser interferometer for Taiji space gravitational wave detection[J]. Research, 2026, 9: 1252. doi: 10.34133/research.1252
    [13] 方子若, 朱振才, 蔡志鸣, 等. 空间引力波探测航天器光学测距噪声链路指标优化[J]. 中国光学(中英文), 2025, 18(3): 568-582. doi: 10.37188/CO.2024-0185

    FANG Z R, ZHU ZH C, CAI ZH M, et al. Optimization of optical metrology noise link metrics for space-based gravitational wave detection spacecraft[J]. Chinese Optics, 2025, 18(3): 568-582. (in Chinese). doi: 10.37188/CO.2024-0185
    [14] 刘河山, 王娟, 高瑞弘, 等. 太极二号干涉仪系统噪声与指标分解[J]. 空间科学学报, 2025, 45(4): 1047-1057. doi: 10.11728/cjss2025.04.2025-yg02

    LIU H SH, WANG J, GAO R H, et al. Noise and index decomposition of Taiji-2 interferometer system[J]. Chinese Journal of Space Science, 2025, 45(4): 1047-1057. (in Chinese). doi: 10.11728/cjss2025.04.2025-yg02
    [15] SONG J, FAN W T, FANG S J, et al. Optimized design of a gravitational wave telescope system based on pupil aberration[J]. Applied Optics, 2024, 63(7): 1815-1821. doi: 10.1364/AO.515579
    [16] SHEN J, WANG SH X, QI K Q, et al. The suppression effect of an imaging system on the geometric tilt-to-length coupling in a test mass interferometer[J]. Photonics, 2024, 11(7): 638. doi: 10.3390/photonics11070638
    [17] 崔新旭, 方超, 王智. 引力波望远镜的装调误差对TTL耦合噪声的影响[J]. 光学学报, 2023, 43(19): 1912001. doi: 10.3788/AOS230675

    CUI X X, FANG CH, WANG ZH. Influence of installation and adjustment error of gravitational wave telescope on TTL noise[J]. Acta Optica Sinica, 2023, 43(19): 1912001. (in Chinese). doi: 10.3788/AOS230675
    [18] KULKARNI S. Technology development for ground verification of dimensional stability of the LISA telescope[D]. Gainesville: University of Florida, 2022.
    [19] SUMNER T J, MUELLER G, CONKLIN J W, et al. Charge induced acceleration noise in the LISA gravitational reference sensor[J]. Classical and Quantum Gravity, 2020, 37(4): 045010. doi: 10.1088/1361-6382/ab5f6e
    [20] 柴国志, 黄亮, 乔亮, 等. 星上剩磁对惯性传感器的影响[J]. 中国光学, 2019, 12(3): 515-525. doi: 10.3788/CO.20191203.0515

    CHAI G ZH, HUANG L, QIAO L, et al. Effect of the on-board residual magnetism on inertial sensors[J]. Chinese Optics, 2019, 12(3): 515-525. (in Chinese). doi: 10.3788/CO.20191203.0515
    [21] SALA L. Residual test mass acceleration in LISA Pathfinder: in-depth statistical analysis and physical sources[D]. Trento: University of Trento, 2023.
    [22] ZHANG H Y, XU P, YE Z Q, et al. A systematic approach for inertial sensor calibration of gravity recovery satellites and its application to Taiji-1 mission[J]. Remote Sensing, 2023, 15(15): 3817. doi: 10.3390/rs15153817
    [23] BARKE S, WANG Y, ESTEBAN DELGADO J J, et al. Towards a gravitational wave observatory designer: sensitivity limits of spaceborne detectors[J]. Classical and Quantum Gravity, 2015, 32(9): 095004. doi: 10.1088/0264-9381/32/9/095004
    [24] ROBSON T, CORNISH N J, LIU CH. The construction and use of LISA sensitivity curves[J]. Classical and Quantum Gravity, 2019, 36(10): 105011. doi: 10.1088/1361-6382/ab1101
    [25] HANNEN V M, SMIT M, HOYNG P, et al. End-to-end simulations for the LISA Technology Package[J]. Classical and Quantum Gravity, 2003, 20(10): S261-S271. doi: 10.1088/0264-9381/20/10/329
    [26] DU M H, WANG P CH, LUO Z R, et al. Towards realistic detection pipelines of Taiji: new challenges in data analysis and high-fidelity simulations of space-based gravitational wave antenna[J]. Science China Physics, Mechanics & Astronomy, 2026, 69(4): 249501. doi: 10.1007/s11433-025-2870-8
    [27] 汤宁标, 杨中光, 余贤圣, 等. 空间引力波探测器自引力分析与建模方法[J]. 系统工程与电子技术, 2024, 46(12): 4083-4090. doi: 10.12305/j.issn.1001-506X.2024.12.17

    TANG N B, YANG ZH G, YU X SH, et al. Self-gravity analysis and modeling method of space gravitational wave detector[J]. Systems Engineering and Electronics, 2024, 46(12): 4083-4090. (in Chinese). doi: 10.12305/j.issn.1001-506X.2024.12.17
    [28] 高志勇, 王上, 王智. 基于FEM的引力参考传感器自引力计算与补偿[J]. 中国空间科学技术(中英文), 2024, 44(2): 89-97. doi: 10.16708/j.cnki.1000-758X.2024.0025

    GAO ZH Y, WANG SH, WANG ZH. Calculation and compensation of self-gravity for gravitational reference sensor based on finite element method[J]. Chinese Space Science and Technology, 2024, 44(2): 89-97. (in Chinese). doi: 10.16708/j.cnki.1000-758X.2024.0025
    [29] FAN Z CH, JIANG ZH Y, WEI SH L. Nijboer–Zernike approach for far-field propagation simulations in space-based gravitational wave detector[J]. Optics & Laser Technology, 2026, 193: 114266. doi: 10.1016/j.optlastec.2025.114266
    [30] 冯建朝, 张晓峰, 梁鸿, 等. 太极二号卫星精密热控关键技术及试验验证[J]. 宇航学报, 2023, 44(1): 132-142. doi: 10.3873/j.issn.1000-1328.2023.01.013

    FENG J CH, ZHANG X F, LIANG H, et al. Key technology and experimental verification of precision thermal control of Taiji-2 satellite[J]. Journal of Astronautics, 2023, 44(1): 132-142. (in Chinese). doi: 10.3873/j.issn.1000-1328.2023.01.013
    [31] TANG N B, FANG Z R, YANG ZH G, et al. Neural network-based self-gravity modeling via mechanism decomposition in space gravitational wave detection[J]. Aerospace Science and Technology, 2026, 169: 111508. doi: 10.1016/j.ast.2025.111508
    [32] LIU Y, SHI X J, YANG W ZH, et al. A precise magnetic modeling method for scientific satellites based on a self-attention mechanism and Kolmogorov-Arnold Networks[J]. Astronomical Techniques and Instruments, 2025, 2(1): 1-9. doi: 10.61977/ati2024049
    [33] 方子若, 侍行剑, 陈琨, 等. 引力波探测航天器噪声分解及电磁力噪声仿真[J]. 深空探测学报(中英文), 2023, 10(3): 334-342. doi: 10.15982/j.issn.2096-9287.2023.20230013

    FANG Z R, SHI X J, CHEN K, et al. Gravitational wave detection spacecraft noise decomposition and electromagnetic force noise simulation[J]. Journal of Deep Space Exploration, 2023, 10(3): 334-342. (in Chinese). doi: 10.15982/j.issn.2096-9287.2023.20230013
    [34] 王少鑫, 郭纬川, 赵平安, 等. 空间引力波探测惯性传感器及其关键技术[J]. 中国科学: 物理学 力学 天文学, 2024, 54(7): 270404.

    WANG SH X, GUO W CH, ZHAO P A, et al. Inertial sensor for space gravitational wave detection and its key technologies[J]. Scientia Sinica Physica, Mechanica & Astronomica, 2024, 54(7): 270404. (in Chinese).
    [35] 范一迪, 王鹏程, 卢苇, 等. 双检验质量无拖曳卫星鲁棒控制[J]. 深空探测学报(中英文), 2023, 10(3): 310-321. doi: 10.15982/j.issn.2096-9287.2023.20230037

    FAN Y D, WANG P CH, LU W, et al. Robust controller design for drag-free satellites with two test masses[J]. Journal of Deep Space Exploration, 2023, 10(3): 310-321. (in Chinese). doi: 10.15982/j.issn.2096-9287.2023.20230037
    [36] 苟兴宇, 王丽娇, 许现民, 等. 位移无拖曳控制的动力学协调条件研究[J]. 宇航学报, 2024, 45(4): 540-549. doi: 10.3873/j.issn.1000-1328.2024.04.006

    GOU X Y, WANG L J, XU X M, et al. Study on dynamic coordination condition of displacement drag-free control[J]. Journal of Astronautics, 2024, 45(4): 540-549. (in Chinese). doi: 10.3873/j.issn.1000-1328.2024.04.006
    [37] YUE CH L, JIAO B H, DANG ZH H, et al. A review on DFACS (II): modeling and analysis of disturbances and noises[J]. Chinese Journal of Aeronautics, 2024, 37(5): 120-147. doi: 10.1016/j.cja.2024.02.013
    [38] WANG J H, GUO X, MA ZH J, et al. A low fuel-consumption drag-free tracking approach for space-based gravitational wave detection satellite[J]. IEEE Transactions on Aerospace and Electronic Systems, 2024, 60(2): 1545-1555. doi: 10.1109/TAES.2023.3336827
    [39] VIDANO S, NOVARA C, COLANGELO L, et al. The LISA DFACS: a nonlinear model for the spacecraft dynamics[J]. Aerospace Science and Technology, 2020, 107: 106313. doi: 10.1016/j.ast.2020.106313
  • 加载中
图(18) / 表(1)
计量
  • 文章访问数:  192
  • HTML全文浏览量:  101
  • PDF下载量:  11
  • 被引次数: 0
出版历程
  • 收稿日期:  2026-04-30
  • 修回日期:  2026-05-19
  • 录用日期:  2026-06-11
  • 网络出版日期:  2026-08-01

目录

    /

    返回文章
    返回