Year: 2024
Type: conference-paper
Abstract: Recent years have been marked by the rapid development of unmanned aerial vehicles, which is of interest not only to ordinary citizens but also to military, industrial and civilian spheres of activity. Designing and developing software to control the orientation and movement of an unmanned aerial vehicle in space takes a long time, including time for debugging, testing, and conducting flight tests. Errors made in the development of the software can lead to emergencies or other unforeseen failures during operation, which can lead to the destruction of the vehicle or cause harm to people and the environment. In the course of analyzing recent studies of software testing methods for embedded systems, their advantages and disadvantages were identified. It was found that both mechanical test benches and simulation modeling in a 3D environment are used: SIL, HIL and SIH simulation. Mechanical test benches allow testing and calibration of the parameters of real models of unmanned aerial vehicles, but have some limitations. Simulation modeling does not require additional equipment due to the use of virtual models of unmanned aircraft and does not have the limitations inherent in mechanical test benches. The most successful implementation of the test platform is the implementation using SIH simulation. The proposed method is an improved version of SIH simulation. The basis of this variant is a sensor and actuator simulator that ensures the operation of the original firmware of an unmanned aerial vehicle and allows you to organize the interconnection of on-board and personal computers. To test the idea, the test platform was implemented in practice. A configuration utility for the simulator of sensors and actuators has also been developed. The results obtained in the work will allow to organize software testing of the on-board computer of an unmanned aerial vehicle even without having the source code.
Source: Edge Computing Workshop (doors)
Institution: Zhytomyr Polytechnic State University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W7166200729