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Controller design for quadrotor-slung load system with swing angle constraints using particle swarm optimization

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dc.contributor.author Ateş, A.
dc.contributor.author Coşan, O.
dc.contributor.author Değirmenci, B.
dc.contributor.author Ergezer, Halit
dc.date.accessioned 2022-03-30T11:47:19Z
dc.date.available 2022-03-30T11:47:19Z
dc.date.issued 2021
dc.identifier.citation Ateş, A...at all (2021). "Controller design for quadrotor-slung load system with swing angle constraints using particle swarm optimization", 2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedings, 021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021. tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/5222
dc.description.abstract In this paper, the controller is designed for a quadrotor carrying a slung load with a rope. When we consider the quadrotor and load pair, there are two cases: the quadrotor carries the load, and the load is on the ground. Since the dynamics of the system are different for these two cases, they must be considered separately. Therefore, a different PID controller is designed for each case. The necessary mechanism has been created to ensure that the transitions between these two controllers are smooth. The controller coefficients are adjusted so that the swing angles of the load are minimal. IMU has been added to the load-bearing mechanism to find out what angle the load is. Also, images of the load have been obtained with the camera located under the quadrotor. The swing angles have been calculated according to the position of the load in the image. Although our physical system studies continue, both the IMU and camera models have been created and integrated into the quadrotor-slung load model. PID coefficients have been obtained using the Particle Swarm Optimization method. Tests have been carried out on different flight profiles and the results obtained are presented. © 2021 IEEE. tr_TR
dc.language.iso eng tr_TR
dc.relation.isversionof 10.1109/INISTA52262.2021.9548550 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Autonomous tr_TR
dc.subject Autonomous Package Delivery tr_TR
dc.subject Particle Swarm Optimization tr_TR
dc.subject Quadrotor tr_TR
dc.subject Slung Load tr_TR
dc.title Controller design for quadrotor-slung load system with swing angle constraints using particle swarm optimization tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 - Proceedings tr_TR
dc.contributor.authorID 293396 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Mekatronik Mühendisliği Bölümü tr_TR


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