Optimization of LQR Weight Matrix to Control Three Degree of Freedom Quadcopter

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dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidAtes, Abdullah/V-6929-2018
dc.contributor.authorIcen, Muhammed
dc.contributor.authorAtes, Abdullah
dc.contributor.authorYeroglu, Celaleddin
dc.date.accessioned2024-08-04T20:44:12Z
dc.date.available2024-08-04T20:44:12Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractIn this study, Q and R weight matrices of a Linear Quadratic Regulator (LQR) were optimized to control three-degree-of-freedom four-rotor Quadrocopter system (3 DOF Hover). The weighted matrices, obtained by Darwinian Particle Swarm Optimization (DPSO) and Fractional Order Darwinian Particle Swarm Optimization (FODPSO) methods, have been tested on the simulation model of Quadrocopter. The weight matrices, which provide good control in simulation, were run in real time on the 3 DOF Hover prototype and the effects on control performance were examined.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.scopus2-s2.0-85039920601en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/98094
dc.identifier.wosWOS:000426868700004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 International Artificial Intelligence and Data Processing Symposium (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLQRen_US
dc.subjectoptimizationen_US
dc.subject3 DOF Hoveren_US
dc.titleOptimization of LQR Weight Matrix to Control Three Degree of Freedom Quadcopteren_US
dc.typeConference Objecten_US

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