UAV Attitude Calculation Using Complementary Filter

The advancement of UAV technology has become a focal point in contemporary technological fields. By applying complementary filtering algorithms to process accelerometer and gyroscope outputs from drones, precise attitude calculation can be achieved through sensor fusion techniques. This method typically involves combining the low-frequency stability of accelerometer data with the high-frequency accuracy of gyroscope readings using a weighted filter approach, often implemented with transfer functions or state-space equations. The widespread application of this technology enables UAV professionals to conduct in-depth analysis of flight dynamics through parameter tuning in the filtering algorithm (e.g., adjusting the filter gain coefficient α). Such technical capabilities facilitate performance enhancements in stabilization systems, contribute to the evolution of UAV industries, and generate substantial economic benefits through improved operational reliability and control precision.