Improving Torque Data Signal with Digital Filtering

AI Thread Summary
The discussion focuses on improving the quality of torque data signals from a three-phase brushless motor. The user is experiencing noisy torque signals after applying a brake, which do not align well with the RPM readings. Suggestions include using digital filtering techniques, specifically a z-transform filter, to clean up the torque signal. The proposed filter formula aims to enhance the signal clarity and provide a more accurate representation of torque. Implementing this filtering approach could lead to better data visualization and analysis.
Trainee28
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Hello,

I have a three phase brushless motor and was trying to measure its torque and speed using a torque sensor. The motor will first go to its maximum speed which is about 6000RPM, then I applied a brake to decrease its velocity. Here is what I get as a result of data acquisition :
upload_2015-7-3_11-41-17.png

The problem is that the torque signal looks kinda mess up. I wish to get a signal as nice as the RPM. Does anyone know how can this be done? Some kind of signal processing steps?

Please help me.
 

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It seems that you are measuring the torque after the brake. The curve for the torque does not reflect the curve for the current.
Trainee28 said:
I wish to get a signal as nice as the RPM. Does anyone know how can this be done? Some kind of signal processing steps?
If the data are sampled digitally, you can insert a digital filter ( z-transform ) like for example:

H(z) = 0.01z2 / ( ( z - 0.9 ) ( z - 0.9 ) ) = 0.01z2 / ( z2 - 1.8z + 0.81 )

( The amplification = 0.01 / ( 1 - 0.9 )2 = 1 )

You can put your already sampled data through such a filter and redraw the result.
 
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