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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP7W/3CF9KE7
Repositorysid.inpe.br/mtc-m19/2012/08.17.11.46.35
Last Update2013:02.28.17.01.55 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m19/2012/08.17.11.46.36
Metadata Last Update2021:02.11.18.18.45 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeySiqueiraKugaSouz:2012:SePaEs
TitleSensor parameter estimation for the performance enhancement of an aerospace application
Year2012
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size977 KiB
2. Context
Author1 Siqueira, Jairo Eduardo Moraes
2 Kuga, Hélio Koiti
3 Souza, Marcelo Lopes de Oliveira e
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC9
3 8JMKD3MGP5W/3C9JHP4
Group1
2 DMC-ETE-INPE-MCTI-GOV-BR
3 DMC-ETE-INPE-MCTI-GOV-BR
Affiliation1 MECTRON E.I.C. S.A. (ODT – Odebrecht Defense & Technology S.A.)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 jairo.siqueira@gmail.com
2 hkk@dem.inpe.br
3 marcelo@dem.inpe.br
e-Mail Addressmarcelo.pazos@inpe.br
Conference NameWorkshop em Engenharia e Tecnologia Espaciais, 3 (WETE).
Conference LocationSão José dos Campos
Date4 - 6 jun. 2012
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Book TitleAnais
History (UTC)2012-08-17 12:01:41 :: marcelo.pazos@sid.inpe.br -> administrator :: 2012
2012-10-01 15:16:10 :: administrator -> marcelo.pazos@sid.inpe.br :: 2012
2013-02-28 17:01:55 :: marcelo.pazos@sid.inpe.br -> administrator :: 2012
2021-02-11 18:18:45 :: administrator -> marcelo.pazos@inpe.br :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsKalman filter
fault detection
flight control
AbstractCurrent systems such as: unmanned aerial vehicles-UAVs, satellites, aircrafts, automobiles, turbines, power controls and traffic controls are becoming increasingly complex and/or highly integrated as prescribed by the SAE-ARP-4754 Standard. Such systems and their control systems use many modes of operation and many forms of handling information to achieve high levels of performance and high levels of accuracy under changing environments and phases of their lifecycle. So, the adoption of solutions that favour lower costs, either for development or operation, considering both the hardware and the software in use is mandatory. Therefore, to improve the economic benefit for a certain application, the accuracy that certain classes of sensors might lack can be overcome by properly performed calibration. In this paper, the Discrete-Discrete Kalman Filter (DDKF) is used, firstly, for the calibration of a baroaltimeter of a UAV with the help of other more accurate sensors (e.g. GPS, IMU, etc.). Secondly, the calibration performed is verified, in the same fashion. The baroaltimeter is embedded in a semi-autonomous aerospace vehicle, which flight is comprised of two phases: captive (for the calibration task) and free (for the verification task). To accomplish the proposed goals, one must take into account: 1. the adopted filtering technique; 2. the boundary operational conditions and initial values for the system' mission; 3. the estimation of sensor parameters which affects the accuracy such as the random bias and the scale factor for the sensor in question. The formulation and equationing for the filter, and the sensor model are described, implemented computationally, and then tested for such a set of representative situations. The results obtained highlight: 1. the difficulties for tuning the KF parameters and conversions; 2. the KF accuracy in estimating true values of unknown parameters; 3. the usefulness of this technique in enhancing the performance of systems quick and accurately.
AreaETES
Arrangement 1urlib.net > BDMCI > Fonds > WETEs > 3º WETE > Sensor parameter estimation...
Arrangement 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGETE > 3º WETE > Sensor parameter estimation...
Arrangement 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Sensor parameter estimation...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP7W/3CF9KE7
zipped data URLhttp://urlib.net/zip/8JMKD3MGP7W/3CF9KE7
Languageen
Target FileJairo Eduardo Moraes Siqueira.pdf
User Groupadministrator
marcelo.pazos@inpe.br
Visibilityshown
Read Permissionallow from all
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m19@80/2009/08.21.17.02.53
Next Higher Units8JMKD3MGP7W/3E6FERH
8JMKD3MGPCW/446AF4B
Citing Item Listsid.inpe.br/mtc-m19/2013/05.22.14.40 3
sid.inpe.br/mtc-m21/2012/07.13.14.49.46 1
Host Collectionsid.inpe.br/mtc-m19@80/2009/08.21.17.02
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition editor format isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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