Improving a reaction curve-based analytical identification technique for fractional models

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dc.contributor.authorGude, Juan José
dc.contributor.authorGarcía Bringas, Pablo
dc.date.accessioned2025-03-07T10:41:26Z
dc.date.available2025-03-07T10:41:26Z
dc.date.issued2025-03
dc.date.updated2025-03-07T10:41:26Z
dc.description.abstractA new analytical procedure for identifying fractional first-order plus dead-time (FFOPDT) models has recently been proposed. The technique is applicable to systems with S-shaped step responses and involves selecting three specific points on the process response curve for parameter estimation. In a simplified version of the method, the points are symmetrically positioned as x1=x%, x2=50%, and x3=(100-x)%, with 0<x<50%, requiring only the optimal position of one point, x, given that the others are set automatically. This study explores the effect of adjusting the value of x2 in the representative points (x-x2-(100-x)%), while preserving symmetry around the center of the interval. Simulations provide insights into the influence of x2 for more accurate estimation, revealing that the accuracy of the identified FFOPDT model is highly sensitive to the position of x2, and an optimal value is proposed to enhance precision. Experimental validation on a thermal-based prototype deployed on a microprocessor confirms the technique’s applicability. This approach provides new insights into selecting the central point x2 and its implications for industrial applications.en
dc.description.sponsorshipOpen Access funding provided thanks to the CRUE-CSIC agreement with Springer Natureen
dc.identifier.citationGude, J. J., & García Bringas, P. (2025). Improving a reaction curve-based analytical identification technique for fractional models. International Journal of Dynamics and Control, 13(3). https://doi.org/10.1007/S40435-025-01604-X
dc.identifier.doi10.1007/S40435-025-01604-X
dc.identifier.eissn2195-2698
dc.identifier.issn2195-268X
dc.identifier.urihttps://hdl.handle.net/20.500.14454/2483
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.rights© The Author(s) 2025
dc.subject.otherFractional models
dc.subject.otherFractional systems
dc.subject.otherIdentification method
dc.subject.otherProcess identification
dc.titleImproving a reaction curve-based analytical identification technique for fractional modelsen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue3
oaire.citation.titleInternational Journal of Dynamics and Control
oaire.citation.volume13
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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