This study introduces an initial setup for swarming control algorithm designed for DJI Tello drones, which employs ESP8266 microcontrollers as communication bridges in a laboratory scale environment. The research focuses on overcoming the challenge of coordinating multiple Tello drones that typically have the same IP address, complicating conventional control methods through Python scripts. By integrating ESP8266 modules, each linked to a drone’s Wi-Fi network and connected to a central computer via USB serial communication, the proposed methodology enables individualized control of each drone within the swarm. Control commands are inputted through a keyboard interface, with instructions transmitted through the ESP8266 modules using the UDP protocol. Experimental procedures involved calibration and precise adjustments to optimize flight performance, followed by command execution and movement verification. The findings illustrate successful swarming behavior, albeit with minor discrepancies between actual and intended movements attributed to sensor noise and environmental variables. Based on the results obtained, drone 1 had an average error of 1.16 cm for translational movement and 0.35° for rotational movement. While drone 2, has an average error of 1.45 cm for translational movement and 1.05° for rotation. Despite these variations, the approach was deemed viable, with errors manageable through command modifications. Future improvements may entail the integration of additional sensors, feedback mechanisms, and advanced networking protocols to enhance precision and scalability. This research establishes a foundation for effective and dependable indoor drone swarming utilizing readily available and cost-effective hardware components.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Initial Development of Swarming Drone in Normal DJI Tello Drone with ESP8266


    Weitere Titelangaben:

    Springer Proceedings Phys.


    Beteiligte:

    Kongress:

    International Seminar on Aerospace Science and Technology ; 2024 ; Bali, Indonesia September 17, 2024 - September 17, 2024



    Erscheinungsdatum :

    15.02.2025


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    METHOD AND APPARATUS FOR SWARMING FLIGHT OF DRONE

    SEO JUNG HO | Europäisches Patentamt | 2020

    Freier Zugriff


    Fractional-Order Control Algorithm for Tello EDU Quadrotor Drone Safe Landing during Disturbance on Propeller

    Nurfarah Hanim Binti Rosmadi / Kishore Bingi / P. Arun Mozhi Devan et al. | DOAJ | 2024

    Freier Zugriff

    An Intrusion Detection System for Drone Swarming Utilizing Timed Probabilistic Automata

    Venkatraman Subbarayalu / Maria Anu Vensuslaus | DOAJ | 2023

    Freier Zugriff

    Fifth-Generation Target Drone Project Initial Development

    Carter, D. / Burris, P. / Brandt, S. et al. | British Library Conference Proceedings | 2011