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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...
Fast and accurate measurement of physical variables is critical for many systems. Inertial navigation systems (INS) are components of paramount importance for aerial vehicles, one of the tasks of INS is to determine the position of the moving particle. The INS has an Inertial Measurement Unit (IMU), where there are sensors, in particular accelerometers which allow the IMU to calculate speed and position,...
Frequency domain sensors (FDS) are important elements in control, data acquisition and monitoring systems. Such sensors have some outstanding characteristics like output of quasi-digital signals, high sensitivity, high resolution, wide dynamic range, anti-interference capacity and good stability. A FDS converts a physical variable (measurand) into a frequency domain ouput. When the measurand changes,...
In all the real-time control systems used on autonomous navigation systems (ANS), a computing system is used. In such, the proper functioning depends of the correct operation of a reference oscillator. Unfortunatelly, the stability of frequency standards is barely explored in ANS, and due the importance it has, more attention is needed. In this work, a new method for measuring frequency-time reference...
In this paper, we test experimentally the hypothesis that the common mode current at any point in an in-house electrical network can be calculated as the linear combination of two types of sources, namely the input differential mode voltages and the input common mode currents. The results show an excellent agreement between theory and measurements, thus lending strong support to the hypothesis.
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