DocumentCode :
3573383
Title :
Attitude Estimation using Low-Cost Sensors: a comparative analysis
Author :
Sanz, Ricardo ; Rodenas, Luis ; Garcia, Pedro ; Albertos, Pedro
Author_Institution :
Inst. de Autom. e Inf. Ind., Univ. Politec. de Valencia, Valencia, Spain
fYear :
2014
Firstpage :
4261
Lastpage :
4266
Abstract :
In this paper several algorithms to estimate the attitude of a UAS using low-cost sensors are reviewed and a new one including the angular velocity is proposed. The fusion of measurement coming from gyroscopes and accelerometers is based on the Kalman filter. A quadrotor experimental platform is used to compare the measurement systems. The estimation results are evaluated under different conditions and compared against the results obtained with an industrial measurement device.
Keywords :
Kalman filters; accelerometers; attitude control; autonomous aerial vehicles; estimation theory; gyroscopes; helicopters; mobile robots; sensor fusion; Kalman filter; UAS attitude estimation; accelerometers; angular velocity; gyroscopes; low-cost sensors; quadrotor experimental platform; unmanned aerial systems; Accelerometers; Angular velocity; Estimation; Gyroscopes; Kalman filters; Sensors; Vectors; Kalman; attitude; estimation; low-cost; sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053429
Filename :
7053429
Link To Document :
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