科技报告详细信息
Orion Optical Navigation Progress Toward Exploration Mission 1
Holt, Greg N ; D'Souza, Christopher N ; Saley, David
关键词: NAVIGATION;    EXPLORATION MISSION-1;    ORION MULTI-PURPOSE CREW VEHICLE;    CALIBRATING;    MATHEMATICAL MODELS;    CAMERAS;    STAR TRACKERS;    IMAGE PROCESSING;    COVARIANCE;    LINEARITY;    CONTROLLERS;    SIMULATION;    SOFTWARE DEVELOPMENT TOOLS;    FIELD OF VIEW;    STATE VECTORS;    KALMAN FILTERS;    SPACECRAFT COMMUNICATION;   
RP-ID  :  JSC-E-DAA-TN49589
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】

Optical navigation of human spacecraft was proposed on Gemini and implemented successfully on Apollo as a means of autonomously operating the vehicle in the event of lost communication with controllers on Earth. The Orion emergency return system utilizing optical navigation has matured in design over the last several years, and is currently undergoing the final implementation and test phase in preparation for Exploration Mission 1 (EM-1) in 2019. The software development is past its Critical Design Review, and is progressing through test and certification for human rating. The filter architecture uses a square-root-free UDU covariance factorization. Linear Covariance Analysis (LinCov) was used to analyze the measurement models and the measurement error models on a representative EM-1 trajectory. The Orion EM-1 flight camera was calibrated at the Johnson Space Center (JSC) electro-optics lab. To permanently stake the focal length of the camera a 500 mm focal length refractive collimator was used. Two Engineering Design Unit (EDU) cameras and an EDU star tracker were used for a live-sky test in Denver. In-space imagery with high-fidelity truth metadata is rare so these live-sky tests provide one of the closest real-world analogs to operational use. A hardware-in-the-loop test rig was developed in the Johnson Space Center Electro-Optics Lab to exercise the OpNav system prior to integrated testing on the Orion vehicle. The software is verified with synthetic images. Several hundred off-nominal images are also used to analyze robustness and fault detection in the software. These include effects such as stray light, excess radiation damage, and specular reflections, and are used to help verify the tuning parameters chosen for the algorithms such as earth atmosphere bias, minimum pixel intensity, and star detection thresholds.

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