Mentor/s
Professor Tolga Kaya
Participation Type
Poster
Abstract
This project aims to understand the mechanics and flight controls of drones. Implementation methods included building a Raspberry Pi drone and setting up NewBeeDrones. Understanding the design and hardware (GPS, motors, ESCs, etc.) that go into building a successful drone is important. Although built, the Raspberry Pi drone has had problems with calibrating the ESC motors. It is expected to solve this issue to be able to fly the drone outside. The project's scope was changed to learning about NewBeeDrones to continue developing knowledge of drones. Current outcomes include successfully binding several drones to their radio controllers and FatShark goggles, setting up Pre-Arm, and changing VTX bands and channels. To further this project, a drone gate was built with an Arduino Uno, ultrasonic sensors, an LCD display and a LED strip. It can start a stopwatch when a drone goes past the sensors along with starting a rainbow light effect with the LEDs and stop the stopwatch when the drone is detected again, thus recording the race lap time. It can also reset the stopwatch to start a new lap time. A 3D printed case for the stopwatch and accompanying components was made. It is expected to make more stopwatches for a drone race with the NewBeeDrones. One issue to solve with these gates is to edit the code or build for the ultrasonic sensors to be more sensitive to data and have more accurate time recordings.
College and Major available
Computer Science BS, Computer Engineering BS
Location
Digital Commons & West Campus 2nd Floor University Commons
Start Day/Time
4-28-2023 12:00 PM
End Day/Time
4-28-2023 2:00 PM
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Understanding the Mechanics and Flight Controls of Drones: Challenges and Opportunities
Digital Commons & West Campus 2nd Floor University Commons
This project aims to understand the mechanics and flight controls of drones. Implementation methods included building a Raspberry Pi drone and setting up NewBeeDrones. Understanding the design and hardware (GPS, motors, ESCs, etc.) that go into building a successful drone is important. Although built, the Raspberry Pi drone has had problems with calibrating the ESC motors. It is expected to solve this issue to be able to fly the drone outside. The project's scope was changed to learning about NewBeeDrones to continue developing knowledge of drones. Current outcomes include successfully binding several drones to their radio controllers and FatShark goggles, setting up Pre-Arm, and changing VTX bands and channels. To further this project, a drone gate was built with an Arduino Uno, ultrasonic sensors, an LCD display and a LED strip. It can start a stopwatch when a drone goes past the sensors along with starting a rainbow light effect with the LEDs and stop the stopwatch when the drone is detected again, thus recording the race lap time. It can also reset the stopwatch to start a new lap time. A 3D printed case for the stopwatch and accompanying components was made. It is expected to make more stopwatches for a drone race with the NewBeeDrones. One issue to solve with these gates is to edit the code or build for the ultrasonic sensors to be more sensitive to data and have more accurate time recordings.
Students' Information
Julia Piascik, Honors program, double major Computer Science and Computer Engineering with a minor in Mathematics, student graduating in 2026.