lopmuse.blogg.se - Matlab to labview

Changing the sampling frequency here will cause the sampling frequency to be updated in LabView. I'm not sure if this is appropriate for your AFM but it is probably a good start. Please note that I have defined a sampling frequency of 25khz. csv file name using the variable InputFileName near the top of the script. csv file in the z-axis-swept-sines\data folder. The script will save all of this data into a. The script will allow you to define a sampling period, a list of frequencies and amplitutedes, and will calculate some other meta data. This script should be executed INSIDE the z-axis-swept-sines\matlab folder.

Run z-axis-swept-sines\matlab\build_swept_meta_data.m.

I will now describe these steps with a bit more detail.

Run z-axis-swept-sines\matlab\raw_data_2_FRF.m to process all of the raw data into non-parametric frequency response functions.

Run play_sysID_Z_Axis.vi to actually do the system ID experiement.

Run z-axis-swept-sines\matlab\build_swept_meta_data.m, to define the list of swept sines frequencies and some other parameters.

This is the transfer function from reference to deflection. These are, briefly: Figure 1: The frequency response of the \(z\)-axis dynamics of our Agilent AFM. The toolbox requires you to run three different programs, which are basically the three steps in the system id process.

See (Non-parametric system identification theory)for a discussion of some theory behind these things. It is a collection of Matlab and Labview programs to facilitate doing non-parametric system identification, with an emphasis on the steped-sines technique. This readme file describes how to use this swept sines non-parametric system ID toolkit, which can be obtained via git:

Matlab/LabView code for non-parametric system identification