Semantic Scholar Open Access 2024 2 sitasi

Use of a DJI Tello Drone as an Educational Platform in the Field of Control Engineering

G. Ghazi Julien Voyer

Abstrak

This paper presents a hands-on pedagogical approach using a DJI Tello drone as an interactive teaching platform in the field of automatic control engineering. The DJI Tello is a small commercial quadcopter drone and includes a software development kit (SDK) that allows developers to control the Tello using various programming languages, including Python. The drone is also equipped with a large number of sensors that can be used in real-time to collect data and analyze how changes in control inputs such as thrust, pitch, roll, and yaw affect its flight path and stability. These features make the Tello a good teaching tool for demonstrating control concepts in an attractive and practical way. Two examples of pedagogical applications are presented in this paper. The first example aims to illustrate in practice how system identification can be used to create a mathematical model of the DJI Tello drone using transfer functions. The second example aims to illustrate how to design a Proportional-Integral (PI) controller and validate it after its implementation on the DJI Tello drone. Through these teaching demonstrations, it was possible to enhance cognitive learning while providing students with a better understanding of the fundamental concepts of modeling and control. It was also observed that even though the students had no background in aeronautics, using an atypical system such as a drone aroused their curiosity, encouraging them to participate, thus making the in-class demonstrations more dynamic.

Penulis (2)

G

G. Ghazi

J

Julien Voyer

Format Sitasi

Ghazi, G., Voyer, J. (2024). Use of a DJI Tello Drone as an Educational Platform in the Field of Control Engineering. https://doi.org/10.24908/pceea.2023.17061

Akses Cepat

Lihat di Sumber doi.org/10.24908/pceea.2023.17061
Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.24908/pceea.2023.17061
Akses
Open Access ✓