TY - GEN
T1 - State estimation of an autonomous helicopter using Kalman filtering
AU - Jun, Myungsoo
AU - Roumeliotis, Stergios I.
AU - Sukhatme, Gaurav S.
PY - 1999/1/1
Y1 - 1999/1/1
N2 - This paper presents a technique to accurately estimate the state of a robot helicopter using a combination of gyroscopes, accelerometers, inclinometers and GPS. Simulation results of state estimation of the helicopter are presented using Kalman filtering based on sensor modeling. The number of estimated states of helicopter is nine: three attitudes (θ, φ, ψ) from the gyroscopes, three accelerations (qq) and three positions (x, y, z) from the accelerometers. 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 autonomous robot helicopter.
AB - This paper presents a technique to accurately estimate the state of a robot helicopter using a combination of gyroscopes, accelerometers, inclinometers and GPS. Simulation results of state estimation of the helicopter are presented using Kalman filtering based on sensor modeling. The number of estimated states of helicopter is nine: three attitudes (θ, φ, ψ) from the gyroscopes, three accelerations (qq) and three positions (x, y, z) from the accelerometers. 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 autonomous robot helicopter.
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M3 - Conference contribution
AN - SCOPUS:0032608153
SN - 0780351843
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 1346
EP - 1353
BT - IEEE International Conference on Intelligent Robots and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients'
Y2 - 17 October 1999 through 21 October 1999
ER -