Optimization of Filter Parameters for a MEMS IMU Accelerometer Using an Artificial Immune System

dc.contributor.authorYücel, Firat
dc.contributor.authorAkkuş, Ozan
dc.contributor.authorDikici, Yusuf
dc.date.accessioned2025-10-18T09:16:42Z
dc.date.created2025
dc.date.issued2025
dc.departmentBartın Üniversitesi
dc.description6th International Conference on Artificial Intelligence, Robotics, and Control, AIRC 2025 -- Savannah; GA; Georgia Southern University -- 210525
dc.descriptionGeorgia Southern University; IEEE
dc.description.abstractA new filter parameter optimization approach is proposed for accelerometers. Filter parameters are optimized by comparing accelerometer data with experimental acceleration values using an artificial immune system (AIS)-based algorithm. The cut-off frequency and the order of the filter can be determined in different acceleration ranges depending on the dataset. A Butterworth low-pass filter is used in simulations, but the proposed approach can easily be extended to the other filter types. Experimental test results confirm that the proposed algorithm can reach the minimum absolute mean error and the global minimum after a few iterations. © 2025 Elsevier B.V., All rights reserved.
dc.identifier.doi10.1109/AIRC64931.2025.11077535
dc.identifier.endpage174
dc.identifier.isbn9798331543488
dc.identifier.scopus2-s2.0-105012182501
dc.identifier.scopusqualityN/A
dc.identifier.startpage169
dc.identifier.urihttps://doi.org/10.1109/AIRC64931.2025.11077535
dc.identifier.urihttps://hdl.handle.net/11772/19368
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzScopus_20251016
dc.subjectAccelerometer
dc.subjectArtificial Immune System
dc.subjectButterworth Filter
dc.subjectInertial Measurement Unit
dc.subjectOptimization
dc.titleOptimization of Filter Parameters for a MEMS IMU Accelerometer Using an Artificial Immune System
dc.typeConference Object
dspace.entity.typePublication

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