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We currently create the frequency vector using the fundamental (f1) and the number of frequencies (nfreq). However, this means that you can often wind up with a lot of low frequencies where no energy is present (see, e.g., omega < 1 below). One could reduce the pseudo-spectral problem size by cutting out these lower frequencies.
This will also be important to create the WECfrom_impedance. I was looking into the frequency response functions data in fbWecCtrl of our pet WECs and f_min is 0.1Hz for both the WaveBot and FOSWEC. The fundamental of 0.1Hz is to coarse to capture the dynamics (especially the FOSWEC).
While the extrapolated impedance looked alright in a plot, I suddenly started having convergence issues, so we might want prioritize this enhancement even before V3 @cmichelenstrofer ?
We currently create the frequency vector using the fundamental (
f1
) and the number of frequencies (nfreq
). However, this means that you can often wind up with a lot of low frequencies where no energy is present (see, e.g.,omega < 1
below). One could reduce the pseudo-spectral problem size by cutting out these lower frequencies.https://github.com/SNL-WaterPower/WecOptTool/blob/9d8f4ef76c86cedf8ed997d85e1698f2bebc15b7/wecopttool/core.py#L1264-L1291
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