Real-Time Optimal State Estimation of Multi-DOF Industrial Systems Using FIR Filtering
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhao, Shunyi | - |
dc.contributor.author | Shmaliy, Yuriy S. | - |
dc.contributor.author | Ahn, Choon Ki | - |
dc.contributor.author | Shi, Peng | - |
dc.date.accessioned | 2021-09-03T05:42:28Z | - |
dc.date.available | 2021-09-03T05:42:28Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2017-06 | - |
dc.identifier.issn | 1551-3203 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/83337 | - |
dc.description.abstract | Industrial 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 about multi-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 and model 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.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | SPACE | - |
dc.subject | ROBUSTNESS | - |
dc.subject | SMOOTHER | - |
dc.title | Real-Time Optimal State Estimation of Multi-DOF Industrial Systems Using FIR Filtering | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Choon Ki | - |
dc.identifier.doi | 10.1109/TII.2016.2601071 | - |
dc.identifier.scopusid | 2-s2.0-85020683888 | - |
dc.identifier.wosid | 000402929700004 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.13, no.3, pp.967 - 975 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | - |
dc.citation.title | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | - |
dc.citation.volume | 13 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 967 | - |
dc.citation.endPage | 975 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Industrial | - |
dc.subject.keywordPlus | SPACE | - |
dc.subject.keywordPlus | ROBUSTNESS | - |
dc.subject.keywordPlus | SMOOTHER | - |
dc.subject.keywordAuthor | Automation process | - |
dc.subject.keywordAuthor | finite impulse response (FIR) filter | - |
dc.subject.keywordAuthor | iterative algorithm | - |
dc.subject.keywordAuthor | Kalman filter (KF) | - |
dc.subject.keywordAuthor | state estimation | - |
dc.subject.keywordAuthor | time-variant system | - |
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