57 lines
1.7 KiB
Matlab
57 lines
1.7 KiB
Matlab
s = tf('s');
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addpath('src')
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%%
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Fs = 10e3; % Sampling Frequency [Hz]
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Ts = 1/Fs; % Sampling Time [s]
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Trec_start = 5; % Start time for Recording [s]
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Trec_dur = 100; % Recording Duration [s]
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Tsim = 2*Trec_start + Trec_dur; % Simulation Time [s]
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%% Sweep Sine
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gc = 0.1;
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xi = 0.5;
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wn = 2*pi*94.3;
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G_sweep = 0.2*(s^2 + 2*gc*xi*wn*s + wn^2)/(s^2 + 2*xi*wn*s + wn^2);
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V_sweep = generateSweepExc('Ts', Ts, ...
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'f_start', 10, ...
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'f_end', 2e3, ...
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'V_mean', 3.25, ...
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't_start', Trec_start, ...
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'exc_duration', Trec_dur, ...
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'sweep_type', 'log', ...
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'V_exc', G_sweep*1/(1 + s/2/pi/500));
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%% Shaped Noise
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V_noise = generateShapedNoise('Ts', 1/Fs, ...
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'V_mean', 3.25, ...
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't_start', Trec_start, ...
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'exc_duration', Trec_dur, ...
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'smooth_ends', true, ...
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'V_exc', 0.00/(1 + s/2/pi/50));
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%% Select the excitation signal
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V_exc = timeseries(V_noise(2,:), V_noise(1,:));
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figure;
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tiledlayout(1, 2, 'TileSpacing', 'Normal', 'Padding', 'None');
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ax1 = nexttile;
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plot(V_exc.Time, squeeze(V_exc.Data));
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xlabel('Time [s]'); ylabel('Amplitude [V]');
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ax2 = nexttile;
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win = hanning(floor(length(V_exc.Data)/8));
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[pxx, f] = pwelch(squeeze(V_exc.Data), win, 0, [], Fs);
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plot(f, pxx)
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xlabel('Frequency [Hz]'); ylabel('Power Spectral Density [$V^2/Hz$]');
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set(gca, 'xscale', 'log'); set(gca, 'yscale', 'log');
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xlim([1, Fs/2]); ylim([1e-10, 1e0]);
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%% Save
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save('./frf_data.mat', 'Fs', 'Ts', 'Tsim', 'Trec_start', 'Trec_dur', 'V_exc');
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