Research on Time Sequence Design Method of Dynamic Simulation Scene for Starlight Navigation

doi:10.16182/j.issn1004731x.joss.24-1414

Abstract

Abstract:

To solve the problem of misidentification of star maps due to time sequence mismatch in the hardware-in-the-loop simulation system of star navigation, where star trackers with different shutter types (global shutter and rolling shutter) and star simulators with varying refresh display methods (whole frame refresh and line sweep refresh) operated without synchronization, a time sequence design method of the dynamic simulation scene for starlight navigation without the need of external synchronization signals was proposed. The method could design the refresh frequency and duty cycle of the corresponding star simulators according to the detector integration time of the tested star trackers to ensure that the star trackers could receive multiple complete cycles of star simulator modulated display images within one exposure time. To address the time sequence mismatch between the frames caused by the time-consuming rendering of a single frame of the dynamic simulation scene, a test method was proposed for the delay time of the dynamic simulation scene of star simulators, which compensated for the delay time of the scene rendering and reduced the star map errors observed by the star trackers in the current moment, thus ensuring the correctness of the navigation model solving. The results of simulation experiments have shown that the method can realize the correct solving of the four elements of the navigation of the star trackers, which has certain theoretical value and guiding significance for the time sequence design of the dynamic simulation scene of the starlight navigation.

Key words: star simulator, star tracker, time sequence design, hardware-in-the-loop simulation, delay time

CLC Number:

TP391.9

Su Xiaoting, Zhang Xiaowei, Tian Yi, Li Qi, Wang Shuaihao. Research on Time Sequence Design Method of Dynamic Simulation Scene for Starlight Navigation[J]. Journal of System Simulation, 2025, 37(11): 2946-2955.

Figures/Tables 15

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References 22

[1]	宁晓琳, 杨雨青, 房建成, 等. 深空探测器自主天文导航研究进展[J]. 深空探测学报(中英文), 2023, 10(2): 99-108.
	Ning Xiaolin, Yang Yuqing, Fang Jiancheng, et al. The Progress of Autonomous Celestial Navigation for Deep Space Spacecraft[J]. Journal of Deep Space Exploration, 2023, 10(2): 99-108.
[2]	崔航, 邵会兵, 张康. 基于大视场星敏感器惯性∕星光组合导航与仿真[J]. 计算机仿真, 2019, 36(1): 29-33, 56.
	Cui Hang, Shao Huibing, Zhang Kang. INS/CNS Integrated Navigation System Based on Wide FOV Star Sensors and Simulation[J]. Computer Simulation, 2019, 36(1): 29-33, 56.
[3]	Zhang He, Zhang Chao, Tong Shuai, et al. Celestial Navigation and Positioning Method Based on Super-large Field of View Star Sensors[C]//China Satellite Navigation Conference (CSNC 2024) Proceedings. Singapore: Springer Nature Singapore, 2024: 475-487.
[4]	詹先军, 王新龙, 孙秀聪. 一种近地空间航天器相对论自主天文导航新方法[J]. 现代防御技术, 2024, 52(6): 1-8.
	Zhan Xianjun, Wang Xinlong, Sun Xiucong. A New Relativistic Autonomous Celestial Navigation Method for Near Earth Spacecraft[J]. Modern Defence Technology, 2024, 52(6): 1-8.
[5]	Wakita Kouki, Hane Fuyuki, Sekiguchi Takeshi, et al. Conceptual Design on the Field of View of Celestial Navigation Systems for Maritime Autonomous Surface Ships[J]. Journal of Marine Science and Technology, 2025, 30(3): 495-506.
[6]	李津淞, 刘爽, 李东, 等. 基于导星电子星图模拟器的卫星控制系统半物理试验方法[J]. 科学技术与工程, 2021, 21(17): 7369-7376.
	Li Jinsong, Liu Shuang, Li Dong, et al. Semi-physical Test Method of Satellite Control System Based on Fine Guidance Sensor Electronic Star Map Simulator[J]. Science Technology and Engineering, 2021, 21(17): 7369-7376.
[7]	朱容蔚, 詹银虎, 李广云. 利用恒星与低轨卫星同时成像实现地面定位的算法[J]. 测绘学报, 2024, 53(7): 1278-1287.
	Zhu Rongwei, Zhan Yinhu, Li Guangyun. Algorithm for Ground Positioning by Simultaneously Imaging Stars and Low Orbit Satellites[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(7): 1278-1287.
[8]	李代伟, 淡鹏, 贺波勇, 等. 基于星光角距/激光测距的卫星组合导航方法[J]. 中国空间科学技术, 2022, 42(3): 67-73.
	Li Daiwei, Dan Peng, He Boyong, et al. Satellite Integrated Navigation Method Based on Starlight Angular Distance/Laser Ranging[J]. Chinese Space Science and Technology, 2022, 42(3): 67-73.
[9]	黄远, 王可东, 刘宝, 等. 机动天基平台惯性/天文组合导航的研究[J]. 系统仿真学报, 2010, 22(增1): 47-49, 54.
	Huang Yuan, Wang Kedong, Liu Bao, et al. The Research on the Inertial/Celestial Integrated Navigation System of the Mobile Space-based Platform[J]. Journal of System Simulation, 2010, 22(S1): 47-49, 54.
[10]	叶志龙, 王融, 熊智, 等. 高超声速飞行器惯性/天文鲁棒组合导航方法[J]. 飞控与探测, 2022, 5(6): 32-37.
	Ye Zhilong, Wang Rong, Xiong Zhi, et al. INS/CNS Robust Integrated Navigation Method for Hypersonic Vehicles[J]. Flight Control & Detection, 2022, 5(6): 32-37.
[11]	Gao Guangle, Gao Shengeng, Hu Gaoge, et al. Tightly Coupled INS/CNS/Spectral Redshift Integrated Navigation System with the Aid of Redshift Error Measurement[J]. Science China Technological Sciences, 2023, 66(9): 2597-2610.
[12]	Zhang Qingyun, Yang Jian, Liu Xin, et al. A Bio-inspired Navigation Strategy Fused Polarized Skylight and Starlight for Unmanned Aerial Vehicles[J]. IEEE Access, 2020, 8: 83177-83188.
[13]	Wang Hongyuan, Wu Shaochong, Wang Bingwen, et al. Near-infrared Star Map Simulation for Starlight Refraction Sensor Based on Ray Tracing[J]. Infrared Physics & Technology, 2023, 132: 104760.
[14]	Zhang Ying, Gao Yang, Qu Huiyang, et al. Research on Starlight Hardware-in-the-loop Simulator[C]//Proceedings Volume 10156, Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology. Bellingham: SPIE, 2016: 101561T.
[15]	Yang Bo, Hu Jing, Liu Xiaoxiao. A Study on Simulation Method of Starlight Transmission in Hypersonic Conditions[J]. Aerospace Science and Technology, 2013, 29(1): 155-164.
[16]	庞博, 李艳红, 田义, 等. 雷达/红外复合导引及半实物仿真技术发展与展望[J]. 空天防御, 2023, 6(4): 17-23, 30.
	Pang Bo, Li Yanhong, Tian Yi, et al. Progress and Prospect of Radar/Infrared Compound Guidance and Hardware-in-the-Loop Simulation Technology[J]. Air & Space Defense, 2023, 6(4): 17-23, 30.
[17]	韩艳丽, 郭晓军. 全天时多视场星图仿真的设计与实现[J]. 系统仿真学报, 2013, 25(8): 1711-1715.
	Han Yanli, Guo Xiaojun. Design and Realization of Star Map Simulation with Three Fields of View All-day[J]. Journal of System Simulation, 2013, 25(8): 1711-1715.
[18]	王国权, 金声震, 孙才红, 等. 组合大视场星敏感器星光折射卫星自主导航方法及仿真[J]. 系统仿真学报, 2005, 17(3): 529-532.
	Wang Guoquan, Jin Shengzhen, Sun Caihong, et al. Method and Simulation of Autonomous Navigation for Satellite by a Combination Star Sensor with Large View Field and Starlight Refraction[J]. Journal of System Simulation, 2005, 17(3): 529-532.
[19]	全伟, 房建成. 天文导航系统半物理仿真研究[J]. 系统仿真学报, 2006, 18(2): 353-358.
	Quan Wei, Fang Jiancheng. Hardware In-the-loop Simulation of Celestial Navigation System[J]. Journal of System Simulation, 2006, 18(2): 353-358.
[20]	刘百奇, 刘建设, 吕艳. 大视场星光修正惯性导航半实物仿真系统设计[J]. 航天控制, 2018, 36(2): 70-76, 82.
	Liu Baiqi, Liu Jianshe, Yan Lü. Hardware-in-the-loop Simulation Design of SINS Corrected by Star Sensor with Large View Field[J]. Aerospace Control, 2018, 36(2): 70-76, 82.
[21]	张宇, 马一原, 王晓雷, 等. 一种星光折射导航半实物仿真系统设计[C]//2019全国仿真技术学术会议论文集. 北京: 中国计算机用户协会仿真应用分会, 2019: 158-161, 168.
	Zhang Yu, Ma Yiyuan, Wang Xiaolei, et al. A Design of Navigation HIL Simulation System Based on Stellar Refraction[C]//Proceedings of the 2019 National Conference on Simulation Technology. Beijing: The Simulation Application Branch of the Chinese Computer Users Association, 2019: 158-161, 168.
[22]	北京仿真中心. 一种实时半实物仿真全天区星光导航模拟装置: CN201611161457.6[P]. 2019-10-29.