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Error Analysis and Calibration Method of a Multiple Field-of-View Navigation System

机译:多视场导航系统的误差分析与校准方法

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摘要

The Multiple Field-of-view Navigation System (MFNS) is a spacecraft subsystem built to realize the autonomous navigation of the Spacecraft Inside Tiangong Space Station. This paper introduces the basics of the MFNS, including its architecture, mathematical model and analysis, and numerical simulation of system errors. According to the performance requirement of the MFNS, the calibration of both intrinsic and extrinsic parameters of the system is assumed to be essential and pivotal. Hence, a novel method based on the geometrical constraints in object space, called checkerboard-fixed post-processing calibration (CPC), is proposed to solve the problem of simultaneously obtaining the intrinsic parameters of the cameras integrated in the MFNS and the transformation between the MFNS coordinate and the cameras’ coordinates. This method utilizes a two-axis turntable and a prior alignment of the coordinates is needed. Theoretical derivation and practical operation of the CPC method are introduced. The calibration experiment results of the MFNS indicate that the extrinsic parameter accuracy of the CPC reaches 0.1° for each Euler angle and 0.6 mm for each position vector component (1σ). A navigation experiment verifies the calibration result and the performance of the MFNS. The MFNS is found to work properly, and the accuracy of the position vector components and Euler angle reaches 1.82 mm and 0.17° (1σ) respectively. The basic mechanism of the MFNS may be utilized as a reference for the design and analysis of multiple-camera systems. Moreover, the calibration method proposed has practical value for its convenience for use and potential for integration into a toolkit.
机译:多视野导航系统(MFNS)是为实现天宫空间站内部航天器的自主导航而构建的航天器子系统。本文介绍了MFNS的基础知识,包括其体系结构,数学模型和分析以及系统错误的数值模拟。根据MFNS的性能要求,假定系统的内部参数和外部参数都是必不可少且至关重要的。因此,提出了一种基于对象空间几何约束的新方法,称为棋盘格固定后处理校准(CPC),以解决同时获取集成在MFNS中的摄像机的固有参数以及两者之间转换的问题。 MFNS坐标和摄像机的坐标。该方法利用两轴转盘,并且需要事先对齐坐标。介绍了CPC方法的理论推导和实际操作。 MFNS的校准实验结果表明,CPC的外部参数精度对于每个欧拉角均达到0.1°,对于每个位置矢量分量(1σ)均达到0.6 mm。导航实验验证了校准结果和MFNS的性能。发现MFNS工作正常,位置矢量分量和欧拉角的精度分别达到1.82 mm和0.17°(1σ)。 MFNS的基本机制可以用作设计和分析多相机系统的参考。此外,所提出的校准方法由于其使用方便和集成到工具包中的潜力而具有实用价值。

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