Research on the state of estimation for unmanned research and rescue helicopter
JingHeng Wang, Zhao Wei, Dongqi Meng · Advances in engineering research/Advances in Engineering Research · 2015
This paper presents a technique to accurately estimate the state of unmanned research and rescue helicopter, Two Kalman filters were used, one for the gyroscope data and the other for the accelerometer data.Our approach is unique because it explicitly avoids dynamic modeling of the system and allows for an elegant combination of sensor data available at different frequencies.We also describe the larger context in which this work is embedded, namely the design and implementation of an unmanned research and rescue helicopter.