Implementation of Active and Passive Vibration Control of Flexible Smart Composite Manipulators with Genetic Algorithm

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dc.authoridUYAR, MEHMET/0000-0003-3511-7682
dc.contributor.authorUyar, M.
dc.contributor.authorMalgaca, L.
dc.date.accessioned2024-10-04T18:51:06Z
dc.date.available2024-10-04T18:51:06Z
dc.date.issued2023
dc.departmentBayburt Üniversitesien_US
dc.description.abstractEndpoint vibrations of flexible manipulators (FM) are suppressed using active or passive control techniques. Suppressing vibrations increases the dynamic performance of the FM in engineering applications. In this study, a model extraction approach is proposed for vibration suppression of single-link flexible smart and composite manipulators. Active and passive control (APC) of residual vibrations is studied theoretically and experimentally. The smart manipulator consists of patching a piezoelectric (PZT) actuator to an aluminum and composite link. The finite element (FE) model of smart manipulators, including revolute joint and PZT actuator, is created in ANSYS. The motion profile and actuator voltage are the inputs, the tip displacement is the output. Then, the state-space (SS) mathematical models of the smart manipulators are extracted from the FE models by using the inputs and outputs. The open-loop and closed-loop simulations are performed using the extracted mathematical models in MATLAB. Passive control is achieved by the motion profiles, while active control is achieved by the PZT actuators. The PD controller with the displacement feedback is used to create the actuation voltages. For the optimized APC, the PD gains are optimized with a genetic algorithm by using the integral of the squared error and integral of absolute magnitude of the error fitness functions. Residual vibrations of smart manipulators are successfully reduced by the optimized APC. To verify the simulation results, open-loop and closed-loop experiments are carried out. The SS mathematical model successfully predicts the dynamic performance of FSM for various motion profiles, according to experimental results.en_US
dc.description.sponsorshipDokuz Eylul University Research Fund [KB.FEN.009]en_US
dc.description.sponsorshipThe authors express their special thanks to Dokuz Eylul University Research Fund for the financial support to the study with project number 2020.KB.FEN.009.en_US
dc.identifier.doi10.1007/s13369-022-07279-2
dc.identifier.endpage3862en_US
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85138505311en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3843en_US
dc.identifier.urihttps://doi.org/10.1007/s13369-022-07279-2
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3387
dc.identifier.volume48en_US
dc.identifier.wosWOS:000857686100001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofArabian Journal For Science and Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSmart manipulatoren_US
dc.subjectModel extraction approachen_US
dc.subjectActive and passive vibration controlen_US
dc.subjectGenetic algorithmen_US
dc.titleImplementation of Active and Passive Vibration Control of Flexible Smart Composite Manipulators with Genetic Algorithmen_US
dc.typeArticleen_US

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