Estimate and apply transfer function to vibration data

AI Thread Summary
The discussion focuses on reducing controller error for a Stewart platform by estimating and applying a transfer function to vibration data. The user is working with displacement and acceleration data sampled at 50 Hz and is attempting to calculate the transfer function using LabVIEW's double derivative function. They are currently using tfestimate and conv for filtering but are encountering unexpected results. A suggestion was made to consider using MATLAB's system identification toolbox, although the user must adhere to using LabVIEW for their project. The conversation highlights the challenges of accurately estimating transfer functions in vibration control applications.
lucvh
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Hi,

I am trying to reduce the error in the controller for a stewart platform.

At the moment I am trying to experiment with estimating the transfer function of the error, and applying the inverse of the transfer function to the input data.

I have an input file sampled at 50hz of displacement data, and an output file measured at 50hz of acceleration data. Using labview i have run the input displacement file through a double derivative function and i am trying to estimate the transfer function between this double derivative of the input and the output file. At the moment i am using tfestimate and conv to filter the data but it is having unexpected results. What would be the most effective way to do this?

Kind Regards,

Luc
 
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Do you have access to Matlab? You can use the system identification toolbox. It can do all the work for you.

See: http://www.mathworks.com/company/events/webinars/wbnr54213.html?id=54213&p1=869915375&p2=869915393
 
Last edited by a moderator:
I can use mathscript within labview, as the brief for the project states that it should be coded in labview.
 

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