Develop and Design Small Scale UAV

• Published in: Modern applied science Vol. 17; no. 2; p. 49
• Main Authors: Mohd Shah, Hairol Nizam, Mohamad Sebir, Muhammad Aiman, Abdollah, Mohd Fairus, Baharon, Mohd Rizuan, Ahmad, Azhar, Ali Arshad, Mohd
• Format: Journal Article
• Language: English
• Published: 25.10.2023
• ISSN: 1913-1844; 1913-1852
• DOI: 10.5539/mas.v17n2p49

Nowadays, many people want to buy a small-scale unmanned aerial vehicle (UAV) either for recreational purposes, photography and video editing or for air surveillance. The main issue with conventional small-scale UAVs is that they require experience to operate them. Besides that, the control system also plays important role for its flight stability and endurance for small-scale UAV. The weight of the load and travelling speed also being issued for small-scale UAV. As a result, three objectives were formulated based on the problem statement which are to fabricate the appropriate size of a small-scale UAV in term of its mass and frame size; to design the control system and increase the stability of the small-scale UAV; and to test the flight endurance of the small-scale UAV. This research is conducted through the following methodology, which is designing the quadcopter body mainframe, constructing the circuit diagram, developing the RC transmitter and receiver for Arduino and testing the UAV functionality and flight test. Softwares that were involved in this project are Solidworks, Arduino compiler, Proteus, Processing and Matlab. The equipments that are used are Arduino UNO, MPU-6050 sensor, Li-Po 11.1V battery, Electronic Speed Controller (ESC), brushless DC motor, 2.4 GHZ RC transmitter and 6-channel receiver. The limitation also being found from those experiments. Finally, the results and discussion will show and explain about the early sketch for quadcopter body mainframe including dimension for each part and stress-strain diagram using Solidworks. It also includes the simulation and hardware connection for brushless DC motor and MPU-6050 sensor using Proteus, Arduino compiler, Processing and Matlab software.