Design and testing of an attitude and heading reference system

Unmanned Aerial Vehicles (UAVs) have become common daily and essential tools with countless uses. UAVs are used in surveillance, mapping, cargo transportation, security, agriculture, and many other areas. Position estimation is a critical stage in the system approach of UAVs and provides the ability to determine the vehicle's orientation in three-dimensional space. It addresses UAV spatial estimation, including distribution from sensor natures, sensor constraints, variables, and programmatic limitations. This work presents various methods used for precise spatial estimation of UAVs. It also focuses on the principles of sensory mixing. It is focused on integrating data from multiple sensors such as accelerometers, gyroscopes, and magnetometers and verifying the results obtained. This study also determines the system's performance and role in improving location estimation efficiency. This can be done by a fusion application designed for attitude estimation using data obtained from sensor models on top of a rotary wing aircraft model. A printed circuit board operating actual sensors was designed for the simulation system design system. A UAV to test this card has been designed, and the work on the three-axis platform has been completed to carry out controlled test studies on the UAV.