Simple Proportional Integral Controller Tuning Rules for FOPTD and HOPTD Models Based on Matching Two Asymptotes
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jietae | - |
dc.contributor.author | Lee, Yongjeh | - |
dc.contributor.author | Yang, Dae Ryook | - |
dc.contributor.author | Edgar, Thomas F. | - |
dc.date.accessioned | 2021-09-02T14:51:16Z | - |
dc.date.available | 2021-09-02T14:51:16Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2018-02-28 | - |
dc.identifier.issn | 0888-5885 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/77304 | - |
dc.description.abstract | Many methods are available to tune proportional integral (PI) controllers for first order plus time delay (FOPTD) models of overdamped processes. The two asymptotes for small and large ratios of time delays over time constants are easily calculated. These two asymptotes can be used to evaluate and provide guidelines for the performance and application ranges of PI controller tuning rules. By matching these two asymptotes, a simple analytic tuning rule is suggested. For some overdamped processes whose transfer functions have large zero terms, half-order plus time delay (HOPTD) models are found to yield better results than the FOPTD models. Applying the technique of matching two asymptotes, a simple analytic PI controller tuning rule has also been proposed for the HOPTD models. To apply these tuning rules to high order processes with known transfer functions, model reduction methods to obtain the FOPTD and HOPTD models are investigated. Simulation results for empirical and full models of processes show the performances of the proposed model reduction methods and tuning rules. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | AMER CHEMICAL SOC | - |
dc.title | Simple Proportional Integral Controller Tuning Rules for FOPTD and HOPTD Models Based on Matching Two Asymptotes | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Yang, Dae Ryook | - |
dc.identifier.doi | 10.1021/acs.iecr.7b03966 | - |
dc.identifier.scopusid | 2-s2.0-85042767856 | - |
dc.identifier.wosid | 000426614500020 | - |
dc.identifier.bibliographicCitation | INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, v.57, no.8, pp.2905 - 2916 | - |
dc.relation.isPartOf | INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH | - |
dc.citation.title | INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH | - |
dc.citation.volume | 57 | - |
dc.citation.number | 8 | - |
dc.citation.startPage | 2905 | - |
dc.citation.endPage | 2916 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Chemical | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.