Abstract
The development of Unmanned Aerial Systems (UASs) continuously improves and advances the technology, which is a key enabler for many new applications, such as autonomous Beyond Visual Line of Sight (BVLOS) operations. However, ensuring a sufficient level of safety and performance of an UAS can be a challenging task, since it requires systematic experimental validation in order verify and document the reliability, robustness, and fault tolerance of the UAS and its critical components. In this paper we propose the UAV Auto Test Framework (UAVAT Framework), a framework for easy, systematic, and efficient experimental validation of the reliability, fault tolerance, and robustness of a multirotor small Unmanned Aerial Systems (sUAS) and its software and hardware components. We describe the hardware and software used for the UAVAT Framework setup, which consists of a Motion Capture (MoCap) system, a multirotor sUAS, and a tethered power system. In addition, we introduce the concept of test modules, a 'plug-and-play' software component with a set of recommended guidelines for defining testing configurations and enabling easy reuse and distribution of software components for sUAS testing. The capabilities of the UAVAT Framework are demonstrated by presenting the results from two developed test modules targeting endurance testing of a multirotor sUAS and Fault Detection (FD) for abnormal behaviour detection.
Original language | English |
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Title of host publication | Proceedings of the 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021 |
Publisher | IEEE |
Publication date | 19. Jul 2021 |
Pages | 619-629 |
Article number | 9476699 |
ISBN (Print) | 978-1-6654-4704-1 |
ISBN (Electronic) | 978-1-6654-1535-4 |
DOIs | |
Publication status | Published - 19. Jul 2021 |
Event | 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021 - Athens, Greece Duration: 15. Jun 2021 → 18. Jun 2021 |
Conference
Conference | 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021 |
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Country/Territory | Greece |
City | Athens |
Period | 15/06/2021 → 18/06/2021 |
Bibliographical note
Funding Information:This work is part of the HealthDrone project funded by the Innovation Fund Denmark [33]. The authors would like to thank UAS Denmark [34], the Danish National UAS Test Center, at Hans Christian Andersen Airport for providing testing facilities for development and sUAS test flights, especially for the use of the MoCap system funded by the UAS-ability project [35].