66982

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Reduced Differentiators Design to Estimate Derivatives of Given Actions in the UAV Control System

Электронная публикация: 

Да

ISBN/ISSN: 

978-0-7381-3156-6

DOI: 

10.1109/RusAutoCon52004.2021.9537502

Наименование конференции: 

  • 2021 International Russian Automation Conference (RusAutoCon)

Наименование источника: 

  • Proceedings 2021 International Russian Automation Conference (RusAutoCon)

Город: 

  • Sochi, Russian Federation

Издательство: 

  • IEEE Catalog Number: CFP21RUS-ART

Год издания: 

2021

Страницы: 

829-834 https://ieeexplore.ieee.org/document/9537502/
Аннотация
The paper considers systems for tracking an unmanned aerial vehicle under external disturbances. A combined control law is developed, which ensures invariance with respect to external disturbances in a closed system by means of linear control with saturation. Dynamic differentiators with piecewise linear correcting influences are designed to estimate unknown derivatives of given signals. The problem is considered in a deterministic setting. These differentiators are replicas of canonical virtual models with unknown inputs (their outputs are given actions) and provide estimates of the derivatives of deterministic signals with a given accuracy in a given time. The peculiarity of the proposed approach is that the dynamic order of the differentiators is lowered in comparison with the observed system. The simulation results for control system of unmanned aerial vehicle are presented.

Библиографическая ссылка: 

Кокунько Ю.Г., Краснова С.А. Reduced Differentiators Design to Estimate Derivatives of Given Actions in the UAV Control System / Proceedings 2021 International Russian Automation Conference (RusAutoCon). Sochi, Russian Federation: IEEE Catalog Number: CFP21RUS-ART, 2021. С. 829-834 https://ieeexplore.ieee.org/document/9537502/.