Mathematical model of the sensor unit for processing on-board algorithms of navigation systems
Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analyti...
Ausführliche Beschreibung
Autor*in: |
Alekhova, E. Yu. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2008 |
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Übergeordnetes Werk: |
Enthalten in: Mechanics of solids - New York, NY : Allerton, 2007, 43(2008), 3 vom: Juni, Seite 349-353 |
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Übergeordnetes Werk: |
volume:43 ; year:2008 ; number:3 ; month:06 ; pages:349-353 |
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DOI / URN: |
10.3103/S0025654408030060 |
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Katalog-ID: |
SPR023254521 |
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520 | |a Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm. | ||
650 | 4 | |a Navigation System |7 (dpeaa)DE-He213 | |
650 | 4 | |a Inertial Navigation System |7 (dpeaa)DE-He213 | |
650 | 4 | |a Sensor Unit |7 (dpeaa)DE-He213 | |
650 | 4 | |a Platform System |7 (dpeaa)DE-He213 | |
650 | 4 | |a Navigation Problem |7 (dpeaa)DE-He213 | |
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10.3103/S0025654408030060 doi (DE-627)SPR023254521 (SPR)S0025654408030060-e DE-627 ger DE-627 rakwb eng 600 ASE Alekhova, E. Yu. verfasserin aut Mathematical model of the sensor unit for processing on-board algorithms of navigation systems 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm. Navigation System (dpeaa)DE-He213 Inertial Navigation System (dpeaa)DE-He213 Sensor Unit (dpeaa)DE-He213 Platform System (dpeaa)DE-He213 Navigation Problem (dpeaa)DE-He213 Enthalten in Mechanics of solids New York, NY : Allerton, 2007 43(2008), 3 vom: Juni, Seite 349-353 (DE-627)535186789 (DE-600)2375720-6 1934-7936 nnns volume:43 year:2008 number:3 month:06 pages:349-353 https://dx.doi.org/10.3103/S0025654408030060 lizenzpflichtig 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_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2008 3 06 349-353 |
spelling |
10.3103/S0025654408030060 doi (DE-627)SPR023254521 (SPR)S0025654408030060-e DE-627 ger DE-627 rakwb eng 600 ASE Alekhova, E. Yu. verfasserin aut Mathematical model of the sensor unit for processing on-board algorithms of navigation systems 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm. Navigation System (dpeaa)DE-He213 Inertial Navigation System (dpeaa)DE-He213 Sensor Unit (dpeaa)DE-He213 Platform System (dpeaa)DE-He213 Navigation Problem (dpeaa)DE-He213 Enthalten in Mechanics of solids New York, NY : Allerton, 2007 43(2008), 3 vom: Juni, Seite 349-353 (DE-627)535186789 (DE-600)2375720-6 1934-7936 nnns volume:43 year:2008 number:3 month:06 pages:349-353 https://dx.doi.org/10.3103/S0025654408030060 lizenzpflichtig 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_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2008 3 06 349-353 |
allfields_unstemmed |
10.3103/S0025654408030060 doi (DE-627)SPR023254521 (SPR)S0025654408030060-e DE-627 ger DE-627 rakwb eng 600 ASE Alekhova, E. Yu. verfasserin aut Mathematical model of the sensor unit for processing on-board algorithms of navigation systems 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm. Navigation System (dpeaa)DE-He213 Inertial Navigation System (dpeaa)DE-He213 Sensor Unit (dpeaa)DE-He213 Platform System (dpeaa)DE-He213 Navigation Problem (dpeaa)DE-He213 Enthalten in Mechanics of solids New York, NY : Allerton, 2007 43(2008), 3 vom: Juni, Seite 349-353 (DE-627)535186789 (DE-600)2375720-6 1934-7936 nnns volume:43 year:2008 number:3 month:06 pages:349-353 https://dx.doi.org/10.3103/S0025654408030060 lizenzpflichtig 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_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2008 3 06 349-353 |
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10.3103/S0025654408030060 doi (DE-627)SPR023254521 (SPR)S0025654408030060-e DE-627 ger DE-627 rakwb eng 600 ASE Alekhova, E. Yu. verfasserin aut Mathematical model of the sensor unit for processing on-board algorithms of navigation systems 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm. Navigation System (dpeaa)DE-He213 Inertial Navigation System (dpeaa)DE-He213 Sensor Unit (dpeaa)DE-He213 Platform System (dpeaa)DE-He213 Navigation Problem (dpeaa)DE-He213 Enthalten in Mechanics of solids New York, NY : Allerton, 2007 43(2008), 3 vom: Juni, Seite 349-353 (DE-627)535186789 (DE-600)2375720-6 1934-7936 nnns volume:43 year:2008 number:3 month:06 pages:349-353 https://dx.doi.org/10.3103/S0025654408030060 lizenzpflichtig 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_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2008 3 06 349-353 |
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10.3103/S0025654408030060 doi (DE-627)SPR023254521 (SPR)S0025654408030060-e DE-627 ger DE-627 rakwb eng 600 ASE Alekhova, E. Yu. verfasserin aut Mathematical model of the sensor unit for processing on-board algorithms of navigation systems 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm. Navigation System (dpeaa)DE-He213 Inertial Navigation System (dpeaa)DE-He213 Sensor Unit (dpeaa)DE-He213 Platform System (dpeaa)DE-He213 Navigation Problem (dpeaa)DE-He213 Enthalten in Mechanics of solids New York, NY : Allerton, 2007 43(2008), 3 vom: Juni, Seite 349-353 (DE-627)535186789 (DE-600)2375720-6 1934-7936 nnns volume:43 year:2008 number:3 month:06 pages:349-353 https://dx.doi.org/10.3103/S0025654408030060 lizenzpflichtig 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_32 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_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 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_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2008 3 06 349-353 |
language |
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Enthalten in Mechanics of solids 43(2008), 3 vom: Juni, Seite 349-353 volume:43 year:2008 number:3 month:06 pages:349-353 |
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Alekhova, E. Yu. @@aut@@ |
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Alekhova, E. Yu. |
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Alekhova, E. Yu. ddc 600 misc Navigation System misc Inertial Navigation System misc Sensor Unit misc Platform System misc Navigation Problem Mathematical model of the sensor unit for processing on-board algorithms of navigation systems |
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600 ASE Mathematical model of the sensor unit for processing on-board algorithms of navigation systems Navigation System (dpeaa)DE-He213 Inertial Navigation System (dpeaa)DE-He213 Sensor Unit (dpeaa)DE-He213 Platform System (dpeaa)DE-He213 Navigation Problem (dpeaa)DE-He213 |
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Mathematical model of the sensor unit for processing on-board algorithms of navigation systems |
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Mathematical model of the sensor unit for processing on-board algorithms of navigation systems |
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mathematical model of the sensor unit for processing on-board algorithms of navigation systems |
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Mathematical model of the sensor unit for processing on-board algorithms of navigation systems |
abstract |
Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm. |
abstractGer |
Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm. |
abstract_unstemmed |
Abstract Recently, strapdown gyro navigation systems have become widely used. In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm. |
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Mathematical model of the sensor unit for processing on-board algorithms of navigation systems |
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In such systems, sensors, gyros, and accelerometers are placed directly aboard the object and an imaginary analytic trihedral is used instead of a stabilized gyroplatform. The object orientation with respect to the analytic trihedral is calculated by numerically solving the Poisson equations taking into account the readings of gyro sensors measuring the object angular velocities. The mutual orientation parameters permit recalculating the apparent acceleration measured by the accelerometers on the object axes for the axes of the analytic trihedral. In the analytic trihedral, the navigation problem is solved in the same way as it is solved in platform systems but, in the whole, the functions of the onboard algorithms of strapdown systems are significantly more complicated than those of platform systems. The possibility of detailed processing of on-board algorithms is of great importance for ensuring the accuracy of the entire navigation system. In the present paper, we state algorithms for reproducing the exact readings of ideal gyro sensors and the exact readings of ideal accelerometers under bench operating conditions of the system under an angular motion imitating the object orientation evolution and the possible angular vibration. Simultaneously, we calculate the exact position and orientation parameters, which can be compared with the results produced by the on-board algorithm.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Navigation System</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Inertial Navigation System</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sensor Unit</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Platform System</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Navigation Problem</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Mechanics 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