Assembly and Design of Thunderbird: Hexacopter Drone using Mission Planner Software

Author: Harshita Rani Ray, Muskan Dubey and Om Shrivastava

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Abstract

The summary goal of the project is to gather and make a hexacopter drone to make a particularly challenging and remote areas designed for monitoring and military patrolling. This drone acts as a skilled air monitoring solution, significantly reduces the need for human appearance in high -risk areas. The hexacopter is manufactured using brushless engines, propellers, a cube orange + flight controller, electronic speed checks (ESC), a strong drone frame, GPS module and Herelink 1.0 HD Digital Transmission System for Control and Telemetry. A LIPO battery provides the necessary power supply, and the Open Source Mission Planner software is used for configuration and autonomous mission plan. A camera module is integrated to provide real-time video during flights, which can be monitors and stored on connected mobile devices. This layout improves surveillance operations, improves status awareness and adapts resource allocation by reducing direct human intervention in a potentially dangerous environment. In the following research we have done a comparison between our hexacopter drone with existing hexacopter drone where we found that the performance, payload capacity, stability, flight time is more enhanced than the existing hexacopters.

Keywords

Hexacopter Drone, Cube orange + Flight Controller, GPS module, Supervision

Conclusion

A multipurpose hexacopter drone weighing 8 kg overall and carrying a 2 kg payload was successfully designed and constructed in this study. Important characteristics including retractable landing gear, carbon fibre folding propellers, and folding arms increase its portability and simplicity of deployment in a variety of environments. While the modular architecture facilitates quick upgrades and maintenance, the Return-to-Launch (RTL) capability guarantees safety and operational effectiveness. This system's design aims to minimize the need for human resources, lower operating expenses, and improve security and monitoring operations response times. Future developments might involve integrating AI and machine learning algorithms to facilitate autonomous decision-making, particularly in situations such as dynamic mission adaption or communication loss.

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