With advances in drone technology, various drone applications have been proposed in areas such as reconnaissance and disaster relief, resulting in a growing need to develop clustered drone control and its use in various applied technologies. However, implementing flight path settings and obstacle avoidance in small-scale drones encounters hardware limitations for clustered drone flight. This study proposes a method to implement cluster flight functionality for drones weighing less than 250 g, ensuring the flight stability by using a multifunctional micro drone with auto-hopping capability. In particular, the article presents a novel application for controlling clustered drone flights via a wearable controller based on a sensor glove (sign language glove) for easy drone operation. By applying an improved PID controller to drone, gain coefficients are driven for the optimal proportional-integral-derivative (PID) controller and the results obtained are compared with the existing ones. As a result, the flight stabilization time is reduced from 2.8 seconds to 1.8 seconds. Therefore, the proposed micro drone, equipped with the new controller, can demonstrate robust performance in the presence of external factors such as motor-induced vibrations and wind. This can improve the use of clustered drones in a variety of applications.
Micro drone, Drone controller, Autohovering, Dual-PID, Wearable sensor.
Ji-Hoon CHOI, Ok-Kyoon HA, "Enhancing Microdrone Control: P-PID Controller and Wearable Interface", Studies in Informatics and Control, ISSN 1220-1766, vol. 33(3), pp. 83-92, 2024. https://doi.org/10.24846/v33i3y202408
All articles published by Studies in Informatics and Control (SIC) are published in accordance with the terms and conditions of the Creative Commons Attribution License (CC BY-NC-SA 4.0).