Parameters Estimation of Orthopedic Drill

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dc.contributor.authorTorun, Yunis
dc.contributor.authorOzturk, Ahmet
dc.contributor.authorAksoz, Ahmet
dc.contributor.authorPazarci, Ozhan
dc.date.accessioned2024-10-26T17:59:53Z
dc.date.available2024-10-26T17:59:53Z
dc.date.issued2019
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description27th Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2019 -- Sivas Cumhuriyet Univ, Sivas, TURKEY
dc.description.abstractIn medical drills, battery drills are highly preferred due to their comfort. Battery discharge during operation is a very important problem. For this reason, it is important to use the control method to minimize the energy consumption and to keep the drill speed in the desired range. In order to design an efficient control in any system, the system model and system parameters must be known. In this study, parameter estimation of a direct current geared motor used in medical drills was carried out by using system input/output signals. Nonlinear Least Squares method was used to estimate parameters then Genetic Algorithm optimization used to improve the model estimation performance. It was observed that the data obtained from the physical system and the model behaviors were similar in an acceptable range. Modeling improvement has been proven based on the criteria of Mean Square Error, Root Mean Square Error, Sum Square Error and Root Sum Square Error.
dc.description.sponsorshipIEEE Turkey Sect,Turkcell,Turkhavacilik Uzaysanayii,Turitak Bilgem,Gebze Teknik Univ,SAP, Detaysoft,NETAS,Havelsan
dc.identifier.doi10.1109/siu.2019.8806501
dc.identifier.isbn978-1-7281-1904-5
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85071969736
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/siu.2019.8806501
dc.identifier.urihttps://hdl.handle.net/20.500.12418/27396
dc.identifier.wosWOS:000518994300161
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2019 27th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectOrthopedic Drills
dc.subjectThe Non-linear Least Squares Method
dc.subjectPID
dc.subjectGenetic Algorithm
dc.subjectParameter Estimation
dc.titleParameters Estimation of Orthopedic Drill
dc.typeConference Object

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