Please use this identifier to cite or link to this item: http://er.nau.edu.ua/handle/NAU/37220
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKucherov, Dmytro Pavlovcih-
dc.contributor.authorKucherov, Dmytro P.-
dc.contributor.authorKucherov, D.-
dc.contributor.authorКучеров, Дмитро Павлович-
dc.contributor.authorКучеров, Д.П.-
dc.contributor.authorКучеров, Дмитрий Павлович-
dc.date.accessioned2018-12-13T14:07:51Z-
dc.date.available2018-12-13T14:07:51Z-
dc.date.issued2018-12-
dc.identifier.isbn978-1-5386-5869-7-
dc.identifier.urihttp://er.nau.edu.ua/handle/NAU/37220-
dc.descriptionThe paper deals with the design of an autopilot for a quadrotor based on a PID controller. A mathematical description of the control object in form of the system of second-order differential equations is also presented. Setting the parameters of the PID controller is an iterative procedure. The paper investigates three optimal tuning algorithms based on minimizing the quality integral: coordinate descent, gradient descent, and steepest descent. During the research, a number of advantages of the gradient search algorithm are established. Gradient search is used as the main design method; on its basis, the autopilot model is synthesizing. Some simulation results are presented, which are confirmed by the Simulink autopilot model.uk_UA
dc.description.abstractThe paper deals with the design of an autopilot for a quadrotor based on a PID controller. A mathematical description of the control object in form of the system of second-order differential equations is also presented. Setting the parameters of the PID controller is an iterative procedure. The paper investigates three optimal tuning algorithms based on minimizing the quality integral: coordinate descent, gradient descent, and steepest descent. During the research, a number of advantages of the gradient search algorithm are established. Gradient search is used as the main design method; on its basis, the autopilot model is synthesizing. Some simulation results are presented, which are confirmed by the Simulink autopilot model.uk_UA
dc.language.isoenuk_UA
dc.publisherIEEE, National Aviation Universityuk_UA
dc.subjectPID controlleruk_UA
dc.subjectUAVuk_UA
dc.titleSetting the PID Controller for Controlling Quadrotor Flight: a Gradient Approachuk_UA
dc.typeArticleuk_UA
dc.specialitycontrol systemsuk_UA
Appears in Collections:Наукові статті кафедри КСУ

Files in This Item:
File Description SizeFormat 
img_MNCSMC_18.pdfОсновная статья255.79 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.