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Control structure design with constraints for a slung load quadrotor system

dc.authorscopusid8375807400
dc.authorscopusid6603785960
dc.authorwosidErgezer, Halit/S-6502-2017
dc.contributor.authorErgezer, Halit
dc.contributor.authorErgezer, Halit
dc.contributor.authorLeblebicioglu, Kemal
dc.contributor.authorID293396tr_TR
dc.date.accessioned2023-11-29T12:51:53Z
dc.date.available2023-11-29T12:51:53Z
dc.date.issued2024
dc.departmentÇankaya Universityen_US
dc.department-temp[Ergezer, Halit] Cankaya Univ, Mechatron Engn Dept, Ankara, Turkiye; [Leblebicioglu, Kemal] Middle East Tech Univ, Elect & Elect Engn Dept, Ankara, Turkiye; [Ergezer, Halit] Cxankaya Univ, Mechatron Engn Dept, Eskisxehir Yolu 29 Km,Yukariyurtcxu Mahallesi Mim, TR-06790 Etimesgut, Ankara, Turkiyeen_US
dc.description.abstractWe propose a control structure for a quadrotor carrying a slung load with swing-angle constraints. This quadrotor is supposed to pass through the waypoints at specified speeds. First, a cascaded PID autopilot is designed, which adaptively gives attention to position and speed requirements as a function of their errors. Its parameters are found from an optimization problem solved using the PSO algorithm. Second, this controller's performance is improved by adding the Complementary Controller employing an ANN. 5. Training data for the ANN is created by solving optimal control problems. The ANN is activated when the swing angle constraint is about to be violated. It is trained using optimal control values corresponding to the cases where the swing angle falls in a particular band about the upper swing angle constraint. Simulations are performed in a MATLAB environment. Finally, some of the simulation results are validated on a physical system.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.citationErgezer, H.; Leblebicioğlu, H. (2023). "Control structure design with constraints for a slung load quadrotor system", Measurement and Control (United Kingdom).en_US
dc.identifier.doi10.1177/00202940231189507
dc.identifier.endpage29en_US
dc.identifier.issn0020-2940
dc.identifier.issn2051-8730
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85166938307
dc.identifier.scopusqualityN/A
dc.identifier.startpage16en_US
dc.identifier.urihttps://doi.org/10.1177/00202940231189507
dc.identifier.volume57en_US
dc.identifier.wosWOS:001042373800001
dc.identifier.wosqualityQ3
dc.language.isoenen_US
dc.publisherSage Publications Ltden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.scopus.citedbyCount2
dc.subjectSlung Load Quadrotor Systemen_US
dc.subjectParticle Swarm Optimizationen_US
dc.subjectArtificial Neural Networksen_US
dc.subjectAutonomous Package Deliveryen_US
dc.titleControl structure design with constraints for a slung load quadrotor systemtr_TR
dc.titleControl Structure Design With Constraints for a Slung Load Quadrotor Systemen_US
dc.typeArticleen_US
dc.wos.citedbyCount2
dspace.entity.typePublication
relation.isAuthorOfPublicatione7c25403-d5d5-4ca7-b1c0-8e155d9a2310
relation.isAuthorOfPublication.latestForDiscoverye7c25403-d5d5-4ca7-b1c0-8e155d9a2310

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