Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm
Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is...
Ausführliche Beschreibung
Autor*in: |
Cheng, WenLong [verfasserIn] Liu, Na [verfasserIn] Li, Zhi [verfasserIn] Zhong, Qi [verfasserIn] Wang, AiMing [verfasserIn] Zhang, ZhiMin [verfasserIn] He, ZongBo [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2011 |
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Übergeordnetes Werk: |
Enthalten in: Chinese science bulletin - Beijing, China : Chinese Acad. of Sciences, 1997, 56(2011), 13 vom: 21. Apr. |
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Übergeordnetes Werk: |
volume:56 ; year:2011 ; number:13 ; day:21 ; month:04 |
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DOI / URN: |
10.1007/s11434-010-4053-z |
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Katalog-ID: |
SPR019796609 |
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520 | |a Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction. | ||
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650 | 4 | |a thermal model |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Liu, Na |e verfasserin |4 aut | |
700 | 1 | |a Li, Zhi |e verfasserin |4 aut | |
700 | 1 | |a Zhong, Qi |e verfasserin |4 aut | |
700 | 1 | |a Wang, AiMing |e verfasserin |4 aut | |
700 | 1 | |a Zhang, ZhiMin |e verfasserin |4 aut | |
700 | 1 | |a He, ZongBo |e verfasserin |4 aut | |
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10.1007/s11434-010-4053-z doi (DE-627)SPR019796609 (SPR)s11434-010-4053-z-e DE-627 ger DE-627 rakwb eng 500 ASE 30.00 bkl Cheng, WenLong verfasserin aut Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction. model correction (dpeaa)DE-He213 thermal model (dpeaa)DE-He213 thermal balance test results (dpeaa)DE-He213 Monte Carlo (dpeaa)DE-He213 Liu, Na verfasserin aut Li, Zhi verfasserin aut Zhong, Qi verfasserin aut Wang, AiMing verfasserin aut Zhang, ZhiMin verfasserin aut He, ZongBo verfasserin aut Enthalten in Chinese science bulletin Beijing, China : Chinese Acad. of Sciences, 1997 56(2011), 13 vom: 21. Apr. (DE-627)341897809 (DE-600)2069521-4 1861-9541 nnns volume:56 year:2011 number:13 day:21 month:04 https://dx.doi.org/10.1007/s11434-010-4053-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 30.00 ASE AR 56 2011 13 21 04 |
spelling |
10.1007/s11434-010-4053-z doi (DE-627)SPR019796609 (SPR)s11434-010-4053-z-e DE-627 ger DE-627 rakwb eng 500 ASE 30.00 bkl Cheng, WenLong verfasserin aut Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction. model correction (dpeaa)DE-He213 thermal model (dpeaa)DE-He213 thermal balance test results (dpeaa)DE-He213 Monte Carlo (dpeaa)DE-He213 Liu, Na verfasserin aut Li, Zhi verfasserin aut Zhong, Qi verfasserin aut Wang, AiMing verfasserin aut Zhang, ZhiMin verfasserin aut He, ZongBo verfasserin aut Enthalten in Chinese science bulletin Beijing, China : Chinese Acad. of Sciences, 1997 56(2011), 13 vom: 21. Apr. (DE-627)341897809 (DE-600)2069521-4 1861-9541 nnns volume:56 year:2011 number:13 day:21 month:04 https://dx.doi.org/10.1007/s11434-010-4053-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 30.00 ASE AR 56 2011 13 21 04 |
allfields_unstemmed |
10.1007/s11434-010-4053-z doi (DE-627)SPR019796609 (SPR)s11434-010-4053-z-e DE-627 ger DE-627 rakwb eng 500 ASE 30.00 bkl Cheng, WenLong verfasserin aut Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction. model correction (dpeaa)DE-He213 thermal model (dpeaa)DE-He213 thermal balance test results (dpeaa)DE-He213 Monte Carlo (dpeaa)DE-He213 Liu, Na verfasserin aut Li, Zhi verfasserin aut Zhong, Qi verfasserin aut Wang, AiMing verfasserin aut Zhang, ZhiMin verfasserin aut He, ZongBo verfasserin aut Enthalten in Chinese science bulletin Beijing, China : Chinese Acad. of Sciences, 1997 56(2011), 13 vom: 21. Apr. (DE-627)341897809 (DE-600)2069521-4 1861-9541 nnns volume:56 year:2011 number:13 day:21 month:04 https://dx.doi.org/10.1007/s11434-010-4053-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 30.00 ASE AR 56 2011 13 21 04 |
allfieldsGer |
10.1007/s11434-010-4053-z doi (DE-627)SPR019796609 (SPR)s11434-010-4053-z-e DE-627 ger DE-627 rakwb eng 500 ASE 30.00 bkl Cheng, WenLong verfasserin aut Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction. model correction (dpeaa)DE-He213 thermal model (dpeaa)DE-He213 thermal balance test results (dpeaa)DE-He213 Monte Carlo (dpeaa)DE-He213 Liu, Na verfasserin aut Li, Zhi verfasserin aut Zhong, Qi verfasserin aut Wang, AiMing verfasserin aut Zhang, ZhiMin verfasserin aut He, ZongBo verfasserin aut Enthalten in Chinese science bulletin Beijing, China : Chinese Acad. of Sciences, 1997 56(2011), 13 vom: 21. Apr. (DE-627)341897809 (DE-600)2069521-4 1861-9541 nnns volume:56 year:2011 number:13 day:21 month:04 https://dx.doi.org/10.1007/s11434-010-4053-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 30.00 ASE AR 56 2011 13 21 04 |
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10.1007/s11434-010-4053-z doi (DE-627)SPR019796609 (SPR)s11434-010-4053-z-e DE-627 ger DE-627 rakwb eng 500 ASE 30.00 bkl Cheng, WenLong verfasserin aut Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction. model correction (dpeaa)DE-He213 thermal model (dpeaa)DE-He213 thermal balance test results (dpeaa)DE-He213 Monte Carlo (dpeaa)DE-He213 Liu, Na verfasserin aut Li, Zhi verfasserin aut Zhong, Qi verfasserin aut Wang, AiMing verfasserin aut Zhang, ZhiMin verfasserin aut He, ZongBo verfasserin aut Enthalten in Chinese science bulletin Beijing, China : Chinese Acad. of Sciences, 1997 56(2011), 13 vom: 21. Apr. (DE-627)341897809 (DE-600)2069521-4 1861-9541 nnns volume:56 year:2011 number:13 day:21 month:04 https://dx.doi.org/10.1007/s11434-010-4053-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_266 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 30.00 ASE AR 56 2011 13 21 04 |
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Enthalten in Chinese science bulletin 56(2011), 13 vom: 21. Apr. volume:56 year:2011 number:13 day:21 month:04 |
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Cheng, WenLong @@aut@@ Liu, Na @@aut@@ Li, Zhi @@aut@@ Zhong, Qi @@aut@@ Wang, AiMing @@aut@@ Zhang, ZhiMin @@aut@@ He, ZongBo @@aut@@ |
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Cheng, WenLong |
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Cheng, WenLong ddc 500 bkl 30.00 misc model correction misc thermal model misc thermal balance test results misc Monte Carlo Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm |
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500 ASE 30.00 bkl Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm model correction (dpeaa)DE-He213 thermal model (dpeaa)DE-He213 thermal balance test results (dpeaa)DE-He213 Monte Carlo (dpeaa)DE-He213 |
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application study of a correction method for a spacecraft thermal model with a monte-carlo hybrid algorithm |
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Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm |
abstract |
Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction. |
abstractGer |
Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction. |
abstract_unstemmed |
Abstract The correction of a thermal model for a thermally controlled satellite in ground test conditions is studied using a Monte Carlo hybrid algorithm. First, the global and local parameters are summarized according to sensitivity analyses on uncertain parameters, and then the model correction is treated as a parameter optimization problem to be solved with a hybrid algorithm. Finally, the correction of the thermal model is completed using a layered correction method. The sensitivity analysis showed that the effective emissivities across the multi-layer insulation (MLI) and the emissivities of the thermal control coating are global parameters, while the contact heat transfer coefficients are local parameters. After correction, the deviations between the calculated and test values were all within ±3°C. The final results prove that the method in this study is superior to traditional methods and satisfies the requirements for thermal model correction. |
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Application study of a correction method for a spacecraft thermal model with a Monte-Carlo hybrid algorithm |
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Liu, Na Li, Zhi Zhong, Qi Wang, AiMing Zhang, ZhiMin He, ZongBo |
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score |
7.3988447 |