| 1. Identity statement | ||||
| Reference Type | Journal Article | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identifier | 8JMKD3MGP3W34R/44MMSA2 | |||
| Repository | sid.inpe.br/mtc-m21c/2021/05.17.14.51 (restricted access) | |||
| Last Update | 2021:05.17.14.51.00 (UTC) simone | |||
| Metadata Repository | sid.inpe.br/mtc-m21c/2021/05.17.14.51.01 | |||
| Metadata Last Update | 2022:04.03.19.24.42 (UTC) administrator | |||
| DOI | 10.1016/j.ast.2021.106759 | |||
| ISSN | 1270-9638 | |||
| Citation Key | ChagasMarCarOliHot:2021:SeAlSa | |||
| Title | A self-calibration algorithm for satellite sensors based on vector observations  | |||
| Year | 2021 | |||
| Month | July | |||
| Access Date | 2025, July 31 | |||
| Type of Work | journal article | |||
| Secondary Type | PRE PI | |||
| Number of Files | 1 | |||
| Size | 745 KiB | |||
| 2. Context | ||||
| Author | 1 Chagas, Ronan Arraes Jardim 2 Marques, Wilson José de Sá 3 Carvalho, Thadeu Augusto Medina de 4 Oliveira, Priscylla Angélica da Silva 5 Hott, Guilherme Mendes Cicarini | |||
| Group | 1 DISEP-CGCE-INPE-MCTI-GOV-BR 2 DIMEC-CGCE-INPE-MCTI-GOV-BR 3 DIMEC-CGCE-INPE-MCTI-GOV-BR 4 DIMEC-CGCE-INPE-MCTI-GOV-BR 5 DIMEC-CGCE-INPE-MCTI-GOV-BR | |||
| Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Author e-Mail Address | 1 ronan.arraes@inpe.br 2 wilson.marques@inpe.br 3 thadeu.augusto@yahoo.com 4 priscylla.angelica@gmail.com 5 eng_guilhermemendes@hotmail.com | |||
| Journal | Aerospace Science and Technology | |||
| Volume | 114 | |||
| Pages | e106759 | |||
| Secondary Mark | A1_ENGENHARIAS_III A2_ENGENHARIAS_IV B1_MATERIAIS B1_INTERDISCIPLINAR B1_GEOCIÊNCIAS | |||
| History (UTC) | 2021-05-17 14:52:02 :: simone -> administrator :: 2021 2022-04-03 19:24:42 :: administrator -> simone :: 2021 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Content Type | External Contribution | |||
| Version Type | publisher | |||
| Keywords | Satellite attitude estimation In-orbit sensor calibration Observability analysis Kalman filter Vector measurements | |||
| Abstract | The advance of space technology allowed small satellites to accomplish missions that were once only possible with big and expensive platforms. The quality and accuracy of small sensors have also improved, leading to a better knowledge of the spacecraft attitude. However, the integration and assembly process of such platforms has constraints that often hinder a high accuracy placement and calibration of the equipment. This translates into the three most common errors in sensor measurements: bias, misalignment, and non-orthogonality. This work proposes a new algorithm designed to estimate and correct those three error sources for any sensor based on vector observations. The algorithm is based on the same principle used by inertial navigation systems with non-inertial information. A propagator computes the attitude based on the gyro readings with the initial estimation provided by the other sensors. Concurrently, a Kalman filter estimates the attitude and sensor errors. After filter convergence, the estimation is used to correct the attitude knowledge. An observability analysis is carried out, showing in which conditions the filter can correctly estimate the error state. Afterward, the proposed technique is tested, employing a Monte Carlo simulation in a validated satellite simulator. The results show that the algorithm can significantly improve attitude estimation accuracy during different satellite operating modes. At last, the filter robustness is assessed by simulating the system with huge errors. This test shows that the filter can converge even in such a challenging scenario, providing excellent accuracy. | |||
| Area | ETES | |||
| Arrangement | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCE > A self-calibration algorithm... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| Language | en | |||
| Target File | chagas_self.pdf | |||
| User Group | simone | |||
| Reader Group | administrator simone | |||
| Visibility | shown | |||
| Read Permission | deny from all and allow from 150.163 | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Next Higher Units | 8JMKD3MGPCW/46KTFK8 | |||
| Citing Item List | sid.inpe.br/bibdigital/2022/04.03.17.52 - 6 | |||
| Dissemination | WEBSCI; PORTALCAPES; COMPENDEX. | |||
| Host Collection | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notes | ||||
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Description control | ||||
| e-Mail (login) | simone | |||
| update | ||||