Multi-layer observer as new structure for state estimation in linear systems

Multi-layer observer as new structure for state estimation in linear systems

A new structure to design observers for linear systems is presented in this work. The key step is the construction of two layers where the first consists of multiple observers and the second connects them providing the weighted estimation state. The main difficulty is to find a new feedback which is...

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Main Authors: Bernat Jakub, Kołota Jakub, Superczyńska Paulina, Stępień Sławomir
Format: Article
Language:English
Published: Polish Academy of Sciences 2017-09-01
Series:Archives of Electrical Engineering
Subjects:
Luenberger observer
Multi Observer
electric DC motor
Online Access:http://www.degruyter.com/view/j/aee.2017.66.issue-3/aee-2017-0038/aee-2017-0038.xml?format=INT
id doaj-3ef12c6386f64b5a93b1f0b2aaa447bd
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spelling doaj-3ef12c6386f64b5a93b1f0b2aaa447bd2020-11-25T03:29:33ZengPolish Academy of SciencesArchives of Electrical Engineering2300-25062017-09-0166350752110.1515/aee-2017-0038aee-2017-0038Multi-layer observer as new structure for state estimation in linear systemsBernat Jakub0Kołota Jakub1Superczyńska Paulina2Stępień Sławomir3Faculty of Computing, Poznan University of Technology, Piotrowo 3a, 61-138Poznań, PolandFaculty of Computing, Poznan University of Technology, Piotrowo 3a, 61-138Poznań, PolandFaculty of Computing, Poznan University of Technology, Piotrowo 3a, 61-138Poznań, PolandFaculty of Computing, Poznan University of Technology, Piotrowo 3a, 61-138Poznań, PolandA new structure to design observers for linear systems is presented in this work. The key step is the construction of two layers where the first consists of multiple observers and the second connects them providing the weighted estimation state. The main difficulty is to find a new feedback which is responsible for control weights. To define observation law, we rely on multi observers from the first layer. The proposed structure significantly improves the transient characteristics of the observation process, which is shown in illustrative examples.http://www.degruyter.com/view/j/aee.2017.66.issue-3/aee-2017-0038/aee-2017-0038.xml?format=INTLuenberger observerMulti Observerelectric DC motor
collection DOAJ
language English
format Article
sources DOAJ
author Bernat Jakub
Kołota Jakub
Superczyńska Paulina
Stępień Sławomir
spellingShingle Bernat Jakub
Kołota Jakub
Superczyńska Paulina
Stępień Sławomir
Multi-layer observer as new structure for state estimation in linear systems
Archives of Electrical Engineering
Luenberger observer
Multi Observer
electric DC motor
author_facet Bernat Jakub
Kołota Jakub
Superczyńska Paulina
Stępień Sławomir
author_sort Bernat Jakub
title Multi-layer observer as new structure for state estimation in linear systems
title_short Multi-layer observer as new structure for state estimation in linear systems
title_full Multi-layer observer as new structure for state estimation in linear systems
title_fullStr Multi-layer observer as new structure for state estimation in linear systems
title_full_unstemmed Multi-layer observer as new structure for state estimation in linear systems
title_sort multi-layer observer as new structure for state estimation in linear systems
publisher Polish Academy of Sciences
series Archives of Electrical Engineering
issn 2300-2506
publishDate 2017-09-01
description A new structure to design observers for linear systems is presented in this work. The key step is the construction of two layers where the first consists of multiple observers and the second connects them providing the weighted estimation state. The main difficulty is to find a new feedback which is responsible for control weights. To define observation law, we rely on multi observers from the first layer. The proposed structure significantly improves the transient characteristics of the observation process, which is shown in illustrative examples.
topic Luenberger observer
Multi Observer
electric DC motor
url http://www.degruyter.com/view/j/aee.2017.66.issue-3/aee-2017-0038/aee-2017-0038.xml?format=INT
work_keys_str_mv AT bernatjakub multilayerobserverasnewstructureforstateestimationinlinearsystems
AT kołotajakub multilayerobserverasnewstructureforstateestimationinlinearsystems
AT superczynskapaulina multilayerobserverasnewstructureforstateestimationinlinearsystems
AT stepiensławomir multilayerobserverasnewstructureforstateestimationinlinearsystems
_version_ 1724578444228952064

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