vault backup: 2025-06-30 16:28:41
Affected files: .obsidian/workspace.json Temporary/Gyroscope.md
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.obsidian/workspace.json
vendored
6
.obsidian/workspace.json
vendored
@@ -344,9 +344,9 @@
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}
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}
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],
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],
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"direction": "vertical",
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"direction": "vertical",
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"x": 2663,
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"x": 1722,
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"y": 1014,
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"y": 1060,
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"width": 527,
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"width": 1052,
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"height": 795,
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"height": 795,
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"maximize": false,
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"maximize": false,
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"zoom": 0.5
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"zoom": 0.5
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@@ -17,3 +17,8 @@ A drive frame (yellow) is oscillated (usually at 10-40kHz).
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When the sensor is rotated, the red mass is moved to either side and thus reducing/increasing the contacts to the blue sensing structure. See [How MEMS Accelerometer Gyroscope Magnetometer Work & Arduino Tutorial - YouTube](https://youtu.be/eqZgxR6eRjo?t=59) for more details.
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When the sensor is rotated, the red mass is moved to either side and thus reducing/increasing the contacts to the blue sensing structure. See [How MEMS Accelerometer Gyroscope Magnetometer Work & Arduino Tutorial - YouTube](https://youtu.be/eqZgxR6eRjo?t=59) for more details.
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![[Pasted image 20250630155216.png]]
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![[Pasted image 20250630155216.png]]
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### Math
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- The base frequency of vibration: $\omega_r$
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- acceleration due to coriolis effect: $a_c = 2(\Omega \times v)$, where $v$ is a velocity and $\Omega$ is an angular rate of rotation.
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- The vibration has an expected in-plane velocity and position, which is not interesting. However, a rotation induces an out-of-plane motion $y_{op}$ which we can measure and thus determine the rate of rotation:
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$$ y_op = \frac{F_c}{k_{op}} = \frac{1}{k_{op}} 2m\Omega X_{ip}\omega_r cos(\omega_r t)$$
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