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How to tie a gyroscope and accelerometer in a single system

Hello!
The problem is this: we want to measure the roll on rolling over all 3-axis object. If he had been static, it could do an accelerometer to determine the angle. In the case of the dynamic object and accelerated movement sideways, the accelerometer will "think" that he was leaning. Consequently, for those moments you should use a gyroscope and integrating its readings to calculate the angle at which turned the system. And there is the drift of the gyroscopes and other bad things, therefore, be adjusted 0. The question is, how it is mathematically possible link? Are there any modules or for that?
Thank you all)

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Sergiv,

 

What kind of hardware are you using to acquire this?  Are you acquiring data and then trying to analyze it in LabVIEW?  Could you please provide more details about your signals?

 

Jon S

Applications Engineer
National Instruments
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Dear Sergiv,

 

I'm not a specialist on this, but it seems you have an inertial navigation problem. I've seen people using a kind of digital filter named Kalman's filter to join signals from different sources in inertial navigation issues. I may have one or two acticles on this. If you think it will be usefull for you, just tell me and I post here the arcticles.

 

Best regards

Leo

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Hello!
Hardware: Gyro 2-axis, the accelerometer 2-axis, A / D converter, a microcontroller to communicate with the PC. the data I want to try to handle in labview. I will be glad to any article!
Thank you!

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I can't find the arcticles in this pc, but for you to get introduced, i found some usefull links:

 

http://www.dsprelated.com/showmessage/65805/1.php

http://www.intechopen.com/articles/show/title/kalman-filtering-for-sensor-fusion-in-a-human-tracking...

http://en.wikipedia.org/wiki/Kalman_filter

 

I'll look for the files in my home pc and post it for you later.

 

Leo

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So, the arcticle I'v told you was in portugese. I ran a simple google for "inertial navigation sensor fusion" and found some material:

 

 

Hope this heps you anyway.

Best regards

Leo

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