| A Systematic Approach for Inertial Sensor Calibration of Gravity Recovery Satellites and Its Application to Taiji-1 Mission | |
Zhang HY(张昊越); Xu P(徐鹏); Ye ZQ(叶宗奇); Ye, Dong; Qiang, Lie; Luo ZR(罗子人) ; Qi KQ(齐克奇); Wang SX(王少鑫); Cai, Zhiming; Wang, Zuolei; Lei, Jungang; Wu, Yueliang
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| Source Publication | REMOTE SENSING
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| 2023-08-01 | |
| Volume | 15Issue:15Pages:3817 |
| Abstract | High-precision inertial sensors or accelerometers can provide references for free-falling motion in gravitational fields in space. They serve as the key payloads for gravity recovery missions such as CHAMP, the GRACE-type missions, and the planned Next-Generation Gravity Missions. In this work, a systematic method for electrostatic inertial sensor calibration of gravity recovery satellites is suggested, which is applied to and verified with the Taiji-1 mission. With this method, the complete operating parameters including the scale factors, the center of mass offset vector, and the intrinsic biased acceleration can be precisely calibrated with only two sets of short-term in-orbit experiments. This could reduce the gaps in data that are caused by necessary in-orbit calibrations during the lifetime of related missions. Taiji-1 is the first technology-demonstration satellite of the Taiji Program in Space, which, in its final extended phase in 2022, could be viewed as operating in the mode of a high-low satellite-to-satellite tracking gravity mission. Based on the principles of calibration, swing maneuvers with time spans of approximately 200 s and rolling maneuvers for 19 days were conducted by Taiji-1 in 2022. Given the data of the actuation voltages of the inertial sensor, satellite attitude variations, precision orbit determinations, the inertial sensor's operating parameters are precisely re-calibrated with Kalman filters and are relayed to the Taiji-1 science team. The relative errors of the calibrations are <1% for the linear scale factors, <3% for center of mass, and <0.1% for biased accelerations. Data from one of the sensitive axes are re-processed with the updated operating parameters, and the resulting performance is found to be slightly improved over the former results. This approach could be of high reference value for the accelerometer or inertial sensor calibrations of the GFO, the Chinese GRACE-type mission, and the Next-Generation Gravity Missions. This could also create some insight into the in-orbit calibrations of the ultra-precision inertial sensors for future GW space antennas because of the technological inheritance between these two generations of inertial sensors. |
| Keyword | satellite gravity inertial sensor accelerometer calibration gravitational wave detection |
| DOI | 10.3390/rs15153817 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001046366500001 |
| WOS Research Area | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS Subject | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| Funding Organization | National Key Research and Development Program of China [2020YFC2200601, 2020YFC2200602, 2021YFC2201901] ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA15020700, XDA15018000] ; Experiments for Space Exploration Program [ZC-1050-2021-05-011] ; Qian Xuesen Laboratory, China Academy of Space Technology |
| Classification | 二类/Q1 |
| Ranking | 1 |
| Contributor | Xu, P (corresponding author), Lanzhou Univ, Lanzhou Ctr Theoret Phys, Lanzhou 730000, Peoples R China. ; Xu, P (corresponding author), Chinese Acad Sci, Inst Mech, Ctr Gravitat Wave Expt, Beijing 100190, Peoples R China. ; Xu, P (corresponding author), Univ Chinese Acad Sci UCAS, Taiji Lab Gravitat Wave Universe Beijing Hangzhou, Beijing 100049, Peoples R China. ; Xu, P (corresponding author), Univ Chinese Acad Sci UCAS, Hangzhou Inst Adv Study, Sch Fundamental Phys & Math Sci, Hangzhou 310024, Peoples R China. |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/92545 |
| Collection | 微重力重点实验室 |
| Affiliation | 1.{Zhang, Haoyue, Xu, Peng, Ye, Zongqi} Lanzhou Univ, Lanzhou Ctr Theoret Phys, Lanzhou 730000, Peoples R China 2.{Zhang, Haoyue, Xu, Peng, Ye, Zongqi, Luo, Ziren, Qi, Keqi, Wang, Shaoxin} Chinese Acad Sci, Inst Mech, Ctr Gravitat Wave Expt, Beijing 100190, Peoples R China 3.{Xu, Peng, Luo, Ziren, Wu, Yueliang} Univ Chinese Acad Sci UCAS, Taiji Lab Gravitat Wave Universe Beijing Hangzhou, Beijing 100049, Peoples R China 4.{Xu, Peng, Luo, Ziren, Wu, Yueliang} Univ Chinese Acad Sci UCAS, Hangzhou Inst Adv Study, Sch Fundamental Phys & Math Sci, Hangzhou 310024, Peoples R China 5.{Ye, Dong} Harbin Inst Technol, Res Ctr Satellite Technol, Harbin 150001, Peoples R China 6.{Qiang, Li-E} Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China 7.{Cai, Zhiming} Chinese Acad Sci, Innovat Acad Microsatellites, Shanghai 201210, Peoples R China 8.{Wang, Zuolei, Lei, Jungang} China Acad Space Technol, Lanzhou Inst Phys, Lanzhou 730000, Peoples R China 9.{Wu, Yueliang} Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, Peoples R China 10.{Wu, Yueliang} Univ Chinese Acad Sci UCAS, Int Ctr Theoret Phys Asia Pacific, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Zhang HY,Xu P,Ye ZQ,et al. A Systematic Approach for Inertial Sensor Calibration of Gravity Recovery Satellites and Its Application to Taiji-1 Mission[J]. REMOTE SENSING,2023,15,15,:3817.Rp_Au:Xu, P (corresponding author), Lanzhou Univ, Lanzhou Ctr Theoret Phys, Lanzhou 730000, Peoples R China., Xu, P (corresponding author), Chinese Acad Sci, Inst Mech, Ctr Gravitat Wave Expt, Beijing 100190, Peoples R China., Xu, P (corresponding author), Univ Chinese Acad Sci UCAS, Taiji Lab Gravitat Wave Universe Beijing Hangzhou, Beijing 100049, Peoples R China., Xu, P (corresponding author), Univ Chinese Acad Sci UCAS, Hangzhou Inst Adv Study, Sch Fundamental Phys & Math Sci, Hangzhou 310024, Peoples R China. |
| APA | 张昊越.,徐鹏.,叶宗奇.,Ye, Dong.,Qiang, Lie.,...&Wu, Yueliang.(2023).A Systematic Approach for Inertial Sensor Calibration of Gravity Recovery Satellites and Its Application to Taiji-1 Mission.REMOTE SENSING,15(15),3817. |
| MLA | 张昊越,et al."A Systematic Approach for Inertial Sensor Calibration of Gravity Recovery Satellites and Its Application to Taiji-1 Mission".REMOTE SENSING 15.15(2023):3817. |
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| Jp2023A243.pdf（30720KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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