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Conference Paper: Velocity and Attitude Matching of transfer alignment by using H∞ filter

TitleVelocity and Attitude Matching of transfer alignment by using H∞ filter
Authors
KeywordsH∞ Filter
Kalman Filter
Transfer Alignment
Velocity And Attitude Matching
Issue Date2012
PublisherTrans Tech Publications Ltd.. The Journal's web site is located at http://www.scitec.ch/1022-6680/
Citation
Advanced Materials Research, 2012, v. 433-440, p. 4861-4864 How to Cite?
AbstractThe H ∞ filter is adopted in the transfer alignment (TA) which is realized by the Velocity and Attitude Matching, when the disturbances in measurements are complete unknown. The performance of H ∞ filter is compared with kalman filter. The simulation results show both that H ∞ filter and kalman filter all are effective and kalman filter is more accurate than H ∞ filter when system noise and measurement noise are white noise. But H ∞ filter is more accurate than kalman filter when system noise and measurement noise are color noise. H ∞ filter is an effective estimation method because H ∞ filter is more suitable to engineering practice than kalman filter. © (2012) Trans Tech Publications, Switzerland.
Persistent Identifierhttp://hdl.handle.net/10722/168881
ISSN
2015 SCImago Journal Rankings: 0.115
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorSong, Len_US
dc.contributor.authorCheng, Den_US
dc.contributor.authorLu, Wen_US
dc.date.accessioned2012-10-08T03:35:25Z-
dc.date.available2012-10-08T03:35:25Z-
dc.date.issued2012en_US
dc.identifier.citationAdvanced Materials Research, 2012, v. 433-440, p. 4861-4864en_US
dc.identifier.issn1022-6680en_US
dc.identifier.urihttp://hdl.handle.net/10722/168881-
dc.description.abstractThe H ∞ filter is adopted in the transfer alignment (TA) which is realized by the Velocity and Attitude Matching, when the disturbances in measurements are complete unknown. The performance of H ∞ filter is compared with kalman filter. The simulation results show both that H ∞ filter and kalman filter all are effective and kalman filter is more accurate than H ∞ filter when system noise and measurement noise are white noise. But H ∞ filter is more accurate than kalman filter when system noise and measurement noise are color noise. H ∞ filter is an effective estimation method because H ∞ filter is more suitable to engineering practice than kalman filter. © (2012) Trans Tech Publications, Switzerland.en_US
dc.languageengen_US
dc.publisherTrans Tech Publications Ltd.. The Journal's web site is located at http://www.scitec.ch/1022-6680/en_US
dc.relation.ispartofAdvanced Materials Researchen_US
dc.subjectH∞ Filteren_US
dc.subjectKalman Filteren_US
dc.subjectTransfer Alignmenten_US
dc.subjectVelocity And Attitude Matchingen_US
dc.titleVelocity and Attitude Matching of transfer alignment by using H∞ filteren_US
dc.typeConference_Paperen_US
dc.identifier.emailLu, W:luwei@hku.hken_US
dc.identifier.authorityLu, W=rp00754en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.4028/www.scientific.net/AMR.433-440.4861en_US
dc.identifier.scopuseid_2-s2.0-84856048813en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84856048813&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume433-440en_US
dc.identifier.spage4861en_US
dc.identifier.epage4864en_US
dc.identifier.isiWOS:000302092001341-
dc.publisher.placeSwitzerlanden_US
dc.identifier.scopusauthoridSong, L=36807189800en_US
dc.identifier.scopusauthoridCheng, D=54906924600en_US
dc.identifier.scopusauthoridLu, W=27868087600en_US

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