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Controllers for Two-Coordinate Positioning of the UAV Auxiliary Video Camera

Voytenko, Volodymyr LU orcid ; Solodchuk, Maksym ; Denisov, Yuriy and Pisarevskiy, Alexander LU (2024) Mathematical Modeling and Simulation of Systems 1091. p.388-388
Abstract
Despite the successes in the use of artificial intelligence systems for image analysis, in certain critical applications, the final decision-making should remain with the human operator. To facilitate the working conditions of an unmanned aerial vehicle (UAV) pilot during prolonged missions, an auxiliary narrow-angle video camera is installed on board the UAV. This camera can be positioned independently of the main (navigation) video camera. A structural model of the electro-mechanical drives for the two-coordinate positioning system in terms of yaw and pitch angles is proposed, serving as a starting point for further physical modeling.

Specific requirements and limitations existing during the operation on board the UAV, which... (More)
Despite the successes in the use of artificial intelligence systems for image analysis, in certain critical applications, the final decision-making should remain with the human operator. To facilitate the working conditions of an unmanned aerial vehicle (UAV) pilot during prolonged missions, an auxiliary narrow-angle video camera is installed on board the UAV. This camera can be positioned independently of the main (navigation) video camera. A structural model of the electro-mechanical drives for the two-coordinate positioning system in terms of yaw and pitch angles is proposed, serving as a starting point for further physical modeling.

Specific requirements and limitations existing during the operation on board the UAV, which define the development course of the motion controller, are formulated. Different types of controllers for this system are considered from the perspective of their compliance with the specified requirements and limitations. Based on the comparison of motion controller models, recommendations for the subsequent implementation of the physical model of the two-coordinate electro-mechanical drive system are developed.

A concept of a new type of quasi-optimal controller is formulated, which utilizes ideas and methods of artificial intelligence to ensure the necessary characteristics. For the further design of such a motion controller based on machine learning, transfer functions and a flexible model of a brushless DC motor are proposed. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Motion control, electric drive, Unmanned Aerial Vehicle (UAV), Optimal Automatic Control, Quasi-Optimal Control
host publication
Lecture Notes in Networks and Systems : Mathematical Modeling and Simulation of Systems - Mathematical Modeling and Simulation of Systems
volume
1091
pages
398 pages
publisher
Springer
conference name
Mathematical Modeling and Simulation of Systems
conference location
Chernihiv, Ukraine
conference dates
2023-11-13 - 2023-11-15
ISBN
978-3-031-67348-1
978-3-031-67347-4
DOI
10.1007/978-3-031-67348-1_29
project
Subsystem for two-coordinate positioning of the UAV auxiliary video camera
language
English
LU publication?
yes
additional info
Voytenko, V., Solodchuk, M., Denisov, Y., Pisarevskiy, A. (2024). Controllers for Two-Coordinate Positioning of the UAV Auxiliary Video Camera. In: Kazymyr, V., et al. Mathematical Modeling and Simulation of Systems. MODS 2023. Lecture Notes in Networks and Systems, vol 1091. Springer, Cham. https://doi.org/10.1007/978-3-031-67348-1_29
id
d3204282-ca70-4fd6-8744-30de92535b28
date added to LUP
2024-09-10 10:00:26
date last changed
2024-09-13 09:23:21
@inbook{d3204282-ca70-4fd6-8744-30de92535b28,
  abstract     = {{Despite the successes in the use of artificial intelligence systems for image analysis, in certain critical applications, the final decision-making should remain with the human operator. To facilitate the working conditions of an unmanned aerial vehicle (UAV) pilot during prolonged missions, an auxiliary narrow-angle video camera is installed on board the UAV. This camera can be positioned independently of the main (navigation) video camera. A structural model of the electro-mechanical drives for the two-coordinate positioning system in terms of yaw and pitch angles is proposed, serving as a starting point for further physical modeling.<br/><br/>Specific requirements and limitations existing during the operation on board the UAV, which define the development course of the motion controller, are formulated. Different types of controllers for this system are considered from the perspective of their compliance with the specified requirements and limitations. Based on the comparison of motion controller models, recommendations for the subsequent implementation of the physical model of the two-coordinate electro-mechanical drive system are developed.<br/><br/>A concept of a new type of quasi-optimal controller is formulated, which utilizes ideas and methods of artificial intelligence to ensure the necessary characteristics. For the further design of such a motion controller based on machine learning, transfer functions and a flexible model of a brushless DC motor are proposed.}},
  author       = {{Voytenko, Volodymyr and Solodchuk, Maksym and Denisov, Yuriy and Pisarevskiy, Alexander}},
  booktitle    = {{Lecture Notes in Networks and Systems : Mathematical Modeling and Simulation of Systems}},
  isbn         = {{978-3-031-67348-1}},
  keywords     = {{Motion control; electric drive; Unmanned Aerial Vehicle (UAV); Optimal Automatic Control; Quasi-Optimal Control}},
  language     = {{eng}},
  month        = {{09}},
  pages        = {{388--388}},
  publisher    = {{Springer}},
  title        = {{Controllers for Two-Coordinate Positioning of the UAV Auxiliary Video Camera}},
  url          = {{http://dx.doi.org/10.1007/978-3-031-67348-1_29}},
  doi          = {{10.1007/978-3-031-67348-1_29}},
  volume       = {{1091}},
  year         = {{2024}},
}