IMU in autopilot is very sensitive to external vibrations. Therefore it needs to be precisely isolated and only the low frequency (position changing) movements need to be measured.
Unfortunately, the effectivity of the vibration isolation method depends on the weight mounted on the isolated side and mechanical properties of isolation. Therefore an instrument able to verify the vibration efficiency is needed.
One approach is the construction of a 3D-printable vibration table. The table should be based on classical BLDC motor with an excentric load mounted on-axis. The engine should be controlled directly from autopilot PWM output (by standard ESC). The idea of the direct control of the unbalanced engine from autopilot is managing the whole measurement cycle and data logging at the same time.
The vibration table could vibrate in one direction only. Another axis could be tested sequentially by different mounting for all three axes.
The hardware needed for that measurement is standard ESC controlled BLDC engine and autopilot. Almost no other hardware is needed to make this system work. Therefore the main difficulty is algorithmic processing of measured data and measuring methodology in that way which allows comparison of different vibration isolation methods between different instrument specimens.
IMU in autopilot is very sensitive to external vibrations. Therefore it needs to be precisely isolated and only the low frequency (position changing) movements need to be measured.
Unfortunately, the effectivity of the vibration isolation method depends on the weight mounted on the isolated side and mechanical properties of isolation. Therefore an instrument able to verify the vibration efficiency is needed.
One approach is the construction of a 3D-printable vibration table. The table should be based on classical BLDC motor with an excentric load mounted on-axis. The engine should be controlled directly from autopilot PWM output (by standard ESC). The idea of the direct control of the unbalanced engine from autopilot is managing the whole measurement cycle and data logging at the same time.
The vibration table could vibrate in one direction only. Another axis could be tested sequentially by different mounting for all three axes.
The hardware needed for that measurement is standard ESC controlled BLDC engine and autopilot. Almost no other hardware is needed to make this system work. Therefore the main difficulty is algorithmic processing of measured data and measuring methodology in that way which allows comparison of different vibration isolation methods between different instrument specimens.