Version 1
: Received: 25 October 2024 / Approved: 27 October 2024 / Online: 28 October 2024 (12:19:43 CET)
How to cite:
Liubimov, O.; Turkin, I.; Volobuyeva, L. A UAV Mission Computer Operation Modes Optimization Focusing on Computational Energy Efficiency and System Responsiveness. Preprints2024, 2024102104. https://doi.org/10.20944/preprints202410.2104.v1
Liubimov, O.; Turkin, I.; Volobuyeva, L. A UAV Mission Computer Operation Modes Optimization Focusing on Computational Energy Efficiency and System Responsiveness. Preprints 2024, 2024102104. https://doi.org/10.20944/preprints202410.2104.v1
Liubimov, O.; Turkin, I.; Volobuyeva, L. A UAV Mission Computer Operation Modes Optimization Focusing on Computational Energy Efficiency and System Responsiveness. Preprints2024, 2024102104. https://doi.org/10.20944/preprints202410.2104.v1
APA Style
Liubimov, O., Turkin, I., & Volobuyeva, L. (2024). A UAV Mission Computer Operation Modes Optimization Focusing on Computational Energy Efficiency and System Responsiveness. Preprints. https://doi.org/10.20944/preprints202410.2104.v1
Chicago/Turabian Style
Liubimov, O., Ihor Turkin and Lina Volobuyeva. 2024 "A UAV Mission Computer Operation Modes Optimization Focusing on Computational Energy Efficiency and System Responsiveness" Preprints. https://doi.org/10.20944/preprints202410.2104.v1
Abstract
The rising popularity of UAVs and other autonomous control systems, coupled with real-time operating systems, has increased the complexity of developing systems with the proper robustness, performance, and reactivity. Concurrently, the growing demand for more sophisticated computational tasks, proportionally bigger payloads, battery limitations, and smaller take-off mass necessitates higher energy efficiency for all avionics and mission computers. The purpose of this paper is to develop the technology for experimental studies of indicators of reactivity and energy consumption of the computing platform for unmanned aerial vehicles (UAVs). The paper provides an experimental assessment of the ’Boryviter’ 0.1 computing platform, which is implemented on the ATSAMV71 microprocessor and operates under the open-source FreeRTOS operating system. The results obtained are the basis for developing algorithms and energy-efficient design strategies for the mission computer to solve the optimization problem. The paper provides experimental results of measurements of the energy consumed by the microcontroller and estimates of the reduction in system energy consumption due to additional time costs for suspending and resuming the computer’s operation. The results show that the ’Boryviter’ 0.1 computing platform can be used as a UAV mission computer for typical flight control tasks that require real-time computing under the influence of external factors. As the further work direction, authors plan to carry out the investigation of the proposed energy saving algorithms in scope of the planned NASA’s F’Prime software flight framework. Such an investigation that should be done with the real flight computation load for the mission computer, will help to qualify the obtained energy saving methods and their implementation results.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
