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Control structure design with constraints for a slung load quadrotor system

dc.authorscopusid 8375807400
dc.authorscopusid 6603785960
dc.authorwosid Ergezer, Halit/S-6502-2017
dc.contributor.author Ergezer, Halit
dc.contributor.author Leblebicioglu, Kemal
dc.contributor.authorID 293396 tr_TR
dc.contributor.other Mekatronik Mühendisliği
dc.date.accessioned 2023-11-29T12:51:53Z
dc.date.available 2023-11-29T12:51:53Z
dc.date.issued 2024
dc.department Çankaya University en_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, Turkiye en_US
dc.description.abstract We 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.woscitationindex Science Citation Index Expanded
dc.identifier.citation Ergezer, H.; Leblebicioğlu, H. (2023). "Control structure design with constraints for a slung load quadrotor system", Measurement and Control (United Kingdom). en_US
dc.identifier.doi 10.1177/00202940231189507
dc.identifier.endpage 29 en_US
dc.identifier.issn 0020-2940
dc.identifier.issn 2051-8730
dc.identifier.issue 1 en_US
dc.identifier.scopus 2-s2.0-85166938307
dc.identifier.scopusquality N/A
dc.identifier.startpage 16 en_US
dc.identifier.uri https://doi.org/10.1177/00202940231189507
dc.identifier.volume 57 en_US
dc.identifier.wos WOS:001042373800001
dc.identifier.wosquality Q3
dc.institutionauthor Ergezer, Halit
dc.language.iso en en_US
dc.publisher Sage Publications Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 2
dc.subject Slung Load Quadrotor System en_US
dc.subject Particle Swarm Optimization en_US
dc.subject Artificial Neural Networks en_US
dc.subject Autonomous Package Delivery en_US
dc.title Control structure design with constraints for a slung load quadrotor system tr_TR
dc.title Control Structure Design With Constraints for a Slung Load Quadrotor System en_US
dc.type Article en_US
dc.wos.citedbyCount 2
dspace.entity.type Publication
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relation.isAuthorOfPublication.latestForDiscovery e7c25403-d5d5-4ca7-b1c0-8e155d9a2310
relation.isOrgUnitOfPublication 5b0b2c59-0735-4593-b820-ff3847d58827
relation.isOrgUnitOfPublication.latestForDiscovery 5b0b2c59-0735-4593-b820-ff3847d58827

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