Error Modeling and Calibration for Encoded Sun Sensors

Error factors in the encoded sun sensor (ESS) are analyzed and simulated. Based on the analysis results, an ESS error compensation model containing structural errors and fine-code algorithm errors is established, and the corresponding calibration method for model parameters is proposed. As external...

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Autores principales: Fan, Qiaoyun, Zhang, Guangjun, Li, Jian, Wei, Xinguo, Li, Xiaoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658741/
https://www.ncbi.nlm.nih.gov/pubmed/23470486
http://dx.doi.org/10.3390/s130303217
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author Fan, Qiaoyun
Zhang, Guangjun
Li, Jian
Wei, Xinguo
Li, Xiaoyang
author_facet Fan, Qiaoyun
Zhang, Guangjun
Li, Jian
Wei, Xinguo
Li, Xiaoyang
author_sort Fan, Qiaoyun
collection PubMed
description Error factors in the encoded sun sensor (ESS) are analyzed and simulated. Based on the analysis results, an ESS error compensation model containing structural errors and fine-code algorithm errors is established, and the corresponding calibration method for model parameters is proposed. As external parameters, installation deviation between ESS and calibration equipment are introduced to the ESS calibration model, so that the model parameters can be calibrated accurately. The experimental results show that within plus/minus 60 degree of incident angle, the ESS measurement accuracy after compensation is three times higher on average than that before compensation.
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spelling pubmed-36587412013-05-30 Error Modeling and Calibration for Encoded Sun Sensors Fan, Qiaoyun Zhang, Guangjun Li, Jian Wei, Xinguo Li, Xiaoyang Sensors (Basel) Article Error factors in the encoded sun sensor (ESS) are analyzed and simulated. Based on the analysis results, an ESS error compensation model containing structural errors and fine-code algorithm errors is established, and the corresponding calibration method for model parameters is proposed. As external parameters, installation deviation between ESS and calibration equipment are introduced to the ESS calibration model, so that the model parameters can be calibrated accurately. The experimental results show that within plus/minus 60 degree of incident angle, the ESS measurement accuracy after compensation is three times higher on average than that before compensation. Molecular Diversity Preservation International (MDPI) 2013-03-07 /pmc/articles/PMC3658741/ /pubmed/23470486 http://dx.doi.org/10.3390/s130303217 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Fan, Qiaoyun
Zhang, Guangjun
Li, Jian
Wei, Xinguo
Li, Xiaoyang
Error Modeling and Calibration for Encoded Sun Sensors
title Error Modeling and Calibration for Encoded Sun Sensors
title_full Error Modeling and Calibration for Encoded Sun Sensors
title_fullStr Error Modeling and Calibration for Encoded Sun Sensors
title_full_unstemmed Error Modeling and Calibration for Encoded Sun Sensors
title_short Error Modeling and Calibration for Encoded Sun Sensors
title_sort error modeling and calibration for encoded sun sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3658741/
https://www.ncbi.nlm.nih.gov/pubmed/23470486
http://dx.doi.org/10.3390/s130303217
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AT weixinguo errormodelingandcalibrationforencodedsunsensors
AT lixiaoyang errormodelingandcalibrationforencodedsunsensors

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