Resolution improvement of accelerometers measurement for drones in agricultural applications
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Proceedings of the IECON 2016: 42nd Annual Conference of the Industrial Electronics Society. IEEE - Institute of Electrical and Electronics Engineers Inc., 2016. p. 1037-1042.
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - Resolution improvement of accelerometers measurement for drones in agricultural applications
AU - Murrieta-Rico, Fabian N.
AU - Hernandez-Balbuena, Daniel
AU - Rodriguez-Quinoñez, Julio C.
AU - Petranovskii, Vitalii
AU - Raymond-Herrera, Oscar
AU - Gurko, Alexander G.
AU - Mercorelli, Paolo
AU - Sergiyenko, Oleg
AU - Lindner, Lars
AU - Valdez-Salas, Benjamin
AU - Tyrsa, Vera
N1 - Conference code: 42
PY - 2016/12/21
Y1 - 2016/12/21
N2 - In agricultural tasks, monitoring of large fields is required. In the last years automatic/autonomous monitoring has been researched; where unmanned aerial vehicles (UAV) - commonly known as drones - are used. For these systems, constrains related with autonomy during flight arise. In order to control properly the UAVs during flight, they require to measure physical variables, in a fast and accurate way. Also, the weight of instruments must be reduced for improving autonomy. In general, aerial vehicles obtain parameters like position, velocity and acceleration using inertial navigation systems. Regarding to this concern, in this work application of a novel technique for measurements onboard UAVs - particularly inertial measurement unit or IMU - is proposed. There are accelerometers inside the IMU. These accelerometers have a frequency domain output. The speed and position are calculated by the INS from acceleration. The acceleration is obtained from frequency measurements of the accelerometers output. For this reason an accurate and fast frequency measurement method is required. In this work, for this particular application, frequency measurement using principle of rational approximations is proposed. This technique allows to measure frequency in short time and with high accuracy, using a few electronic components. Due this properties, it perfectly fits requirements for UAVs.
AB - In agricultural tasks, monitoring of large fields is required. In the last years automatic/autonomous monitoring has been researched; where unmanned aerial vehicles (UAV) - commonly known as drones - are used. For these systems, constrains related with autonomy during flight arise. In order to control properly the UAVs during flight, they require to measure physical variables, in a fast and accurate way. Also, the weight of instruments must be reduced for improving autonomy. In general, aerial vehicles obtain parameters like position, velocity and acceleration using inertial navigation systems. Regarding to this concern, in this work application of a novel technique for measurements onboard UAVs - particularly inertial measurement unit or IMU - is proposed. There are accelerometers inside the IMU. These accelerometers have a frequency domain output. The speed and position are calculated by the INS from acceleration. The acceleration is obtained from frequency measurements of the accelerometers output. For this reason an accurate and fast frequency measurement method is required. In this work, for this particular application, frequency measurement using principle of rational approximations is proposed. This technique allows to measure frequency in short time and with high accuracy, using a few electronic components. Due this properties, it perfectly fits requirements for UAVs.
KW - Drone
KW - FDS
KW - Frequency measurement
KW - INS
KW - Rational approximations
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85010028194&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b7696330-fdfe-3502-b97d-74ce2322cc75/
U2 - 10.1109/IECON.2016.7793466
DO - 10.1109/IECON.2016.7793466
M3 - Article in conference proceedings
AN - SCOPUS:85010028194
SP - 1037
EP - 1042
BT - Proceedings of the IECON 2016
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
T2 - IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
Y2 - 24 October 2016 through 27 October 2016
ER -