Modeling and Online Calibration for SINS/CNS Asynchronous Time With NFOV Star Tracker

IF 5.6 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-09-19 DOI:10.1109/TIM.2024.3460933

Tianyu Chen;Gongliu Yang;Zeyang Wen;Zhenyang Chen;Qingzhong Cai

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Abstract

Strapdown inertial navigation system/celestial navigation system (SINS/CNS) integrated navigation with narrow-field-of-view (NFOV) star tracker is widely employed in the aviation and aerospace fields contributed by its high accuracy and autonomy. However, due to the computational cost and data transmission of CNS, the output data of CNS and SINS cannot be completely synchronized, which seriously affects the performance of integrated navigation, particularly in highly dynamic environments. To solve the problem above, this article constructs a model and proposes an online calibration method for the asynchronous time between the outputs from SINS and CNS with NFOV star tracker. First, the error characteristic of SINS/CNS asynchronous time is analyzed, and the imaging detection is revealed to be significantly affected by the SINS/CNS asynchronous time in dynamic environments. Additionally, on the basis of the error characteristic analysis, a corresponding error model is established. Finally, an online calibration scheme of SINS/CNS asynchronous time is designed based on the backtracking navigation algorithm. Simulations and field experiments show that the online calibration method works well in calibrating the SINS/CNS asynchronous time and compensating for the tri-axis attitude misalignment angles of the SINS, affirming the efficacy and feasibility of the established model and proposed calibration method in this article.

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利用 NFOV 星轨仪对 SINS/CNS 异步时间进行建模和在线校准

带窄视场（NFOV）星轨跟踪器的带下惯性导航系统/天体导航系统（SINS/CNS）综合导航以其高精度和自主性在航空航天领域得到广泛应用。然而，由于 CNS 的计算成本和数据传输问题，CNS 和 SINS 的输出数据不能完全同步，严重影响了综合导航的性能，尤其是在高动态环境下。为解决上述问题，本文利用 NFOV 星体跟踪器构建了一个模型，并提出了一种 SINS 和 CNS 输出时间不同步的在线校准方法。首先，分析了 SINS/CNS 异步时间的误差特性，发现在动态环境中，成像检测受 SINS/CNS 异步时间的影响很大。此外，在误差特性分析的基础上，建立了相应的误差模型。最后，基于回溯导航算法设计了 SINS/CNS 异步时间的在线校准方案。仿真和现场实验表明，在线校准方法在校准 SINS/CNS 异步时间和补偿 SINS 三轴姿态偏差角方面效果良好，肯定了本文建立的模型和提出的校准方法的有效性和可行性。

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来源期刊

IEEE Transactions on Instrumentation and Measurement 工程技术-工程：电子与电气

CiteScore

9.00

自引率

23.20%

发文量

1294

审稿时长

3.9 months

期刊介绍： Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.