| Issue |
MATEC Web Conf.
Volume 406, 2024
2024 RAPDASA-RobMech-PRASA-AMI Conference: Unlocking Advanced Manufacturing - The 25th Annual International RAPDASA Conference, joined by RobMech, PRASA and AMI, hosted by Stellenbosch University and Nelson Mandela University
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|---|---|---|
| Article Number | 04011 | |
| Number of page(s) | 19 | |
| Section | Robotics and Mechatronics | |
| DOI | https://doi.org/10.1051/matecconf/202440604011 | |
| Published online | 09 December 2024 | |
Modelling the power consumption of a commercial unmanned aerial vehicle using machine learning
1 Centre for Robotics and Future Production, Council for Scientific and Industrial Research (CSIR), South Africa
2 Centre for Robotics and Future Production, Council for Scientific and Industrial Research (CSIR), South Africa
* Corresponding author: tsetati@csir.co.za
As popular as Unmanned Aerial Vehicles (UAVs) have become, one of their major drawbacks is their operational time. Specifications are provided about the possible length of their flights, but a detailed analysis of the operating time is needed when planning flights that utilise energy- consuming custom payloads without their own power supply. This paper makes use of flight data and various machine-learning algorithms to determine a power consumption model for a commercial UAV with a custom payload drawing power from the main power source to assist with flight planning, flight operations and battery management.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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