Using a phone accelerometer to create position-time data during a take off
HTML-код
- Опубликовано: 22 авг 2024
- I recorded the acceleration during take off in an airliner using PhyPhox (phyphox.org/). From that, I create velocity vs. time and position vs. time graphs.
Finally, I attempted to animate the motion of the plane during take off - but it didn't exactly work out perfectly.
Still, I got to practice importing from excel to python, so that was nice.
Your passion for physics is great man 👏
Great stuff!
Around 21:13, regarding y component, I think it would be zero IF you held your phone exactly pointed towards the tip of the plane (and exactly level). Since it is not probably exact, all dimensions are slightly intermingled. i.e.: y is not exactly forward-backward, z is not exactly up-down.
If you do arctan(ax/ay) which looks like arctan(1/4) from your velocity graph, that give 14. So your phone was perhaps 14 degrees off of the nose of the plane.
Please don't stop making vidoes and please upload vidoes on different topics of mathematics as well
I came for the equations. Thanks
Thanks doctor, as always I learnt something new!!
Your doing an excellent job!
Thank you!
Hello. Do you have takeoff.xls available? Thank you very much
Can I get those sensor data in CSV/EXCEL
Integrating data collected from a phones accelerometer over more than 2 seconds is naive ... You would never get anywhere closer to correct estimates ... Thats why there is GPS, Barometer which can rectify the calculation errors occuring over larger measurements.
Really good job. You don't need to close the Jupyter just restart the kernel and this will do the trick.
Great stuff
Double integration of acceleration to measure distance is not practical and accurate because of the integration error accumulating and causing the measurements to drift from reality. It may work for a few seconds if the sensor is calibrated perfectly. In this case its not.
Ok. How do you suggest this should be done then? I'm quite interested to hear a better way.
@@good6894 it has to be aided by some other sensor eg. GNSS to prevent drift. This way u can trust accelerometer in short periode and GNSS long periode. Simply search for complementary filter.
👍 agreed
surely you don't mutliply each accelleration by dt but multiply the mean eacceleration (between two steps) by dt?
Sir can I ask how can I calculate the electric potential due to point charges but r=0?
If by "r = 0" you mean the distance from the point charge to the location where you want to find the potential (with respect to infinity) - it would be also infinity.
So how is it that a phone is able to get the data? I mean the acceleration is measured with respect to ground? How does the phone knows that? ;'p I’m kind of confused
There is a tiny accelerometer in the phone - think of it like a tiny mass supported by springs. When the phone accelerates, these springs get compressed. By measuring the compression of the springs, you get the acceleration.
I'm not sure if that's the answer to the question you were asking.
This is a cool use of PhyPhox! I wonder if it's a safe assumption that dt is constant. Any chance you could share the data?