INVESTIGATION OF UNMANNED AIRCRAFT AUTOPILOTING METHODS WITH REAL TIME ROUTE CORRECTION

The article explores the prospects for the automatic control of unmanned aerial vehicles (UAVs) implementation, analyzes the results of modern research and existing implementations in this area. Special attention is paid to popular software packages for their ability to provide automatic piloting functions without any need to equip the UAV with additional modules, and also considers the features of such implementation when using third-party equipment and software. A test algorithm for extended automatic piloting of the UAV has been developed for the ArduPilot + Companion Computer assembly, which involves piloting the UAV along a given route, performing additional operations on the UAV at certain points on the route, and correcting the route in real time if necessary. The peculiarities of connecting the Companion Computer to the flight controller, using the MAVLink protocol for ArduPilot, and using the appropriate libraries for programming languages, in particular Pymavlink (mavgen) for Python, are analyzed. The corresponding stages of the test algorithm are implemented using the Python language and the Pymavlink library, in particular the stage of establishing a connection via the MAVLink protocol, receiving the coordinates of the current position from the flight controller, calculating the distance to the next route point, dynamically changing the route by setting the coordinates of the next route point, performing additional operations at certain points of the route, as well as collecting and processing UAV telemetry information. The ArduPilot + Companion Computer assembly allows you to significantly expand the functionality of the UAV and dynamically change them, however, the use of such assemblies is advisable only in cases that cannot be covered by the computational capabilities of the flight controller and standard UAV software. Compared to other software packages, ArduPilot provides the best functionality for implementing automatic piloting, both using the ArduPilot Mission Planer and in the ArduPilot + Companion Computer assembly and third-party software.

Authors

Publication Details

Journal
Information and communication technologies electronic engineering
Published
2025-10-01
DOI
https://doi.org/10.23939/ictee2025.02.049
Primary Topic
Modeling, Simulation, and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

INVESTIGATION OF UNMANNED AIRCRAFT AUTOPILOTING METHODS WITH REAL TIME ROUTE CORRECTION

Oleg Yaremko, I. Bernevek
Information and communication technologies electronic engineering
Modeling, Simulation, and Optimization
article

INVESTIGATION OF UNMANNED AIRCRAFT AUTOPILOTING METHODS WITH REAL TIME ROUTE CORRECTION

Oleg Yaremko, I. Bernevek
article en

Abstract

The article explores the prospects for the automatic control of unmanned aerial vehicles (UAVs) implementation, analyzes the results of modern research and existing implementations in this area. Special attention is paid to popular software packages for their ability to provide automatic piloting functions without any need to equip the UAV with additional modules, and also considers the features of such implementation when using third-party equipment and software. A test algorithm for extended automatic piloting of the UAV has been developed for the ArduPilot + Companion Computer assembly, which involves piloting the UAV along a given route, performing additional operations on the UAV at certain points on the route, and correcting the route in real time if necessary. The peculiarities of connecting the Companion Computer to the flight controller, using the MAVLink protocol for ArduPilot, and using the appropriate libraries for programming languages, in particular Pymavlink (mavgen) for Python, are analyzed. The corresponding stages of the test algorithm are implemented using the Python language and the Pymavlink library, in particular the stage of establishing a connection via the MAVLink protocol, receiving the coordinates of the current position from the flight controller, calculating the distance to the next route point, dynamically changing the route by setting the coordinates of the next route point, performing additional operations at certain points of the route, as well as collecting and processing UAV telemetry information. The ArduPilot + Companion Computer assembly allows you to significantly expand the functionality of the UAV and dynamically change them, however, the use of such assemblies is advisable only in cases that cannot be covered by the computational capabilities of the flight controller and standard UAV software. Compared to other software packages, ArduPilot provides the best functionality for implementing automatic piloting, both using the ArduPilot Mission Planer and in the ArduPilot + Companion Computer assembly and third-party software.

Information and communication technologies electronic engineeringVol. 5(2)
Openalex Percentile: Top 65%
Modeling, Simulation, and Optimization
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