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Study of high-precision earth sensor with triple-FOV

查看全文 作　　者：WANG [1,2,3]Hongjian;XING [1,2,3]Fei;YOU [1,2,3]Zheng;CHU [4]Daping;ZHENG [5]Lungui 高影响力作者 机构地区：[1]Collaborative Innovation Center for Micro/Nano Fabrication,Device and System,Tsinghua University,Beijing 100084,P.R.China;[2]State Key Laboratory of Precision Measurement Technology and Instruments,Tsinghua University,Beijing 100084,P.R.China;[3]Department of Precision Instruments,Tsinghua University,Beijing 100084,P.R.China;[4]Department of Engineering,Electrical Engineering Division,University of Cambridge,Cambridge CB30FA,U.K.;[5]School of Instrument and Electronics,North University of China,Taiyuan 030051,P.R.China高影响力机构 出　　处：《Instrumentation》索引2014年第1卷第2期,共7页高影响力期刊 基　　金：financially supported by the National High Technology Research and Development Program of China(863 Program)(No.2012AA121503 and No.2012AA120603);the National Natural Science Foundation of China(No.61377012);the Tsinghua University Initiative Scientific Research Program(No.20131089242)。 摘　　要：Earth sensors are widely used in spacecraft for attitude determination. They need to have a very large field of view(FOV)( > 120°) and relatively low accuracy while being used in the aircrafts around orbit. A triple-FOV infrared earth sensor is proposed in this paper. It uses three pieces of standard infrared detectors with a wavelength range of 14;16μm,to sense the horizontal circle by detecting the infrared light emitted from the earth. From which,the geocentric vector can be obtained. A mathematic model is established and a validation model is set up to provide input parameters for the mathematic model. The simulation results of the two models show that the output of the mathematic model coincides with the known parameters. Based on the above analysis,a prototype has been built and tested. The test results show that the angle measurement error is about 0. 002° and hence such a triple-FOV earth sensor is capable to provide high-precision position information for autonomous navigation. 关 键 词：Earth Sensor Validation Model High Precision Autonomous Navigation
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