Real-time optimal state estimation of multi-DOF industrial systems using FIR filtering

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dc.contributor.authorZhao, S.
dc.contributor.authorShmaliy, Y.
dc.contributor.authorAhn, C.
dc.contributor.authorShi, P.
dc.date.issued2017
dc.descriptionDate of publication August 17, 2016
dc.description.abstractIndustrial processes are often organized using mechanical systems with multiple degrees-of-freedom (DOF). For real-time operation of such systems in noise environments, fast, optimal, and robust estimators are required. In this paper, information gathering aboutmulti-DOF system states is provided using the optimal finite impulse response (OFIR) filter. To use this filter in real time, a fast iterative algorithm is developed with a pseudocode available for immediate use. Although the iterative algorithm utilizes Kalman recursions, it is more robust against uncertainties andmodel errors owing to the transversal structure.We use this algorithm to estimate state in the 1-DOF torsion system and the 3-DOF helicopter system.
dc.description.statementofresponsibilityShunyi Zhao, Yuriy S. Shmaliy, Choon Ki Ahn, and Peng Shi
dc.identifier.citationIEEE Transactions on Industrial Informatics, 2017; 13(3):967-975
dc.identifier.doi10.1109/TII.2016.2601071
dc.identifier.issn1551-3203
dc.identifier.issn1941-0050
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttp://hdl.handle.net/2440/113842
dc.language.isoen
dc.publisherIEEE
dc.relation.grant61603155
dc.relation.grant61573112
dc.relation.grantU1509217
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140102180
dc.relation.granthttp://purl.org/au-research/grants/arc/LP140100471
dc.rights© 2016 IEEE
dc.source.urihttps://doi.org/10.1109/tii.2016.2601071
dc.subjectAutomation process; finite impulse response (FIR) filter; iterative algorithm; Kalman filter (KF); state estimation; time-variant system
dc.titleReal-time optimal state estimation of multi-DOF industrial systems using FIR filtering
dc.typeJournal article
pubs.publication-statusPublished

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