Embedded Platform for Self-constructed Drone System
Sułek, Jakub Oskar (2024)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024112831044
https://urn.fi/URN:NBN:fi:amk-2024112831044
Tiivistelmä
This thesis explores the design and development of a modular embedded platform for a self-constructed drone system, combining theoretical understanding with practical implementation. The project focuses on creating custom hardware for the flight controller and operator interface, developing software libraries for essential modules, and validating their functionality through isolated testing.
Key components, including wireless communication modules, sensors, and motor controllers, were integrated into the design, with simulations conducted using eCalc XcopterCalc to estimate theoretical performance metrics such as hover time, thrust-to-weight ratio, and energy efficiency. While the full system integration remains incomplete, the validated software libraries and hardware designs provide a strong foundation for future work.
The work highlights the accessibility of modern resources for UAV development, demonstrating how affordable components, online tools, and systematic methodologies enable individuals with limited experience to construct sophisticated systems. This thesis contributes to the understanding of UAV systems by presenting a replicable and scalable approach to drone design, with potential applications in education, research, and hobbyist projects.
Key components, including wireless communication modules, sensors, and motor controllers, were integrated into the design, with simulations conducted using eCalc XcopterCalc to estimate theoretical performance metrics such as hover time, thrust-to-weight ratio, and energy efficiency. While the full system integration remains incomplete, the validated software libraries and hardware designs provide a strong foundation for future work.
The work highlights the accessibility of modern resources for UAV development, demonstrating how affordable components, online tools, and systematic methodologies enable individuals with limited experience to construct sophisticated systems. This thesis contributes to the understanding of UAV systems by presenting a replicable and scalable approach to drone design, with potential applications in education, research, and hobbyist projects.