modify scripts

matlab/frf_analyze.m

@@ -9,28 +9,33 @@ addpath('./src/');
 % Test with one APA
 
 %% Load measurement data for APA number 1
-load(sprintf('mat/frf_data_%i.mat', 1), 't', 'Va', 'Vs', 'de', 'da');
+load(sprintf('mat/frf_data_%i_sweep_lf.mat', 2), 't', 'Va', 'Vs', 'de', 'da');
-
-
-
-% Time domain data:
-
-figure;
-plot(t, de);
-
-
 
 % Compute transfer functions:
 
 Ts = (t(end) - t(1))/(length(t)-1);
 Fs = 1/Ts;
 
-win = hanning(ceil(0.5*Fs)); % Hannning Windows
+win = hanning(ceil(1*Fs)); % Hannning Windows
 
 [G_dvf, f] = tfestimate(Va, de, win, [], [], 1/Ts);
 [G_d,   ~] = tfestimate(Va, da, win, [], [], 1/Ts);
 [G_iff, ~] = tfestimate(Va, Vs, win, [], [], 1/Ts);
 
+[coh_dvf, ~] = mscohere(Va, de, win, [], [], 1/Ts);
+[coh_d,   ~] = mscohere(Va, da, win, [], [], 1/Ts);
+[coh_iff, ~] = mscohere(Va, Vs, win, [], [], 1/Ts);
+
+%%
+figure;
+hold on;
+plot(f, coh_dvf);
+plot(f, coh_d);
+plot(f, coh_iff);
+hold off;
+set(gca, 'XScale', 'log');
+
+%%
 figure;
 tiledlayout(2, 1, 'TileSpacing', 'None', 'Padding', 'None');
 
@@ -42,7 +47,6 @@ hold off;
 set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
 ylabel('Amplitude $V_{out}/V_{in}$ [V/V]'); set(gca, 'XTickLabel',[]);
 hold off;
-ylim([10, 30]);
 
 ax2 = nexttile;
 hold on;
@@ -65,7 +69,6 @@ plot(f, abs(G_iff));
 set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log');
 ylabel('Amplitude $V_{out}/V_{in}$ [V/V]'); set(gca, 'XTickLabel',[]);
 hold off;
-ylim([10, 30]);
 
 ax2 = nexttile;
 plot(f, 180/pi*angle(G_iff));
@@ -75,7 +78,7 @@ hold off;
 yticks(-360:90:360);
 
 linkaxes([ax1,ax2],'x');
-xlim([5, 5e3]);
+xlim([0.1, 10]);
 
 % Comparison of all APA
 

matlab/frf_save.m

@@ -26,7 +26,10 @@ t  = data(:, end); % Time [s]
 
 
 % And we save this to a =mat= file:
-
 apa_number = 1;
+% leg_number = 4;
 
-save(sprintf('mat/frf_data_%i_huddle.mat', apa_number), 't', 'Va', 'Vs', 'de', 'da');
+save(sprintf('mat/frf_data_leg_coder_%i_noise.mat', apa_number), 't', 'Va', 'Vs', 'de', 'da');
+% save(sprintf('mat/frf_data_leg_coder_%i_sweep.mat', apa_number), 't', 'Va', 'Vs', 'de', 'da');
+% save(sprintf('mat/frf_data_leg_coder_%i_noise_hf.mat', apa_number), 't', 'Va', 'Vs', 'de', 'da');
+% save(sprintf('mat/frf_data_leg_coder_%i_add_mass_closed_circuit.mat', apa_number), 't', 'Va', 'Vs', 'de', 'da');

matlab/frf_setup.m

@@ -16,23 +16,6 @@ Trec_dur   = 100; % Recording Duration [s]
 
 Tsim = 2*Trec_start + Trec_dur;  % Simulation Time [s]
 
-%% Sweep Sine
-gc = 0.1;
-xi = 0.5;
-wn = 2*pi*94.3;
-
-% Notch filter at the resonance of the APA
-G_sweep = 0.2*(s^2 + 2*gc*xi*wn*s + wn^2)/(s^2 + 2*xi*wn*s + wn^2);
-
-V_sweep = generateSweepExc('Ts',      Ts, ...
-                           'f_start', 10, ...
-                           'f_end',   1e3, ...
-                           'V_mean',  3.25, ...
-                           't_start', Trec_start, ...
-                           'exc_duration', Trec_dur, ...
-                           'sweep_type',   'log', ...
-                           'V_exc', G_sweep*1/(1 + s/2/pi/500));
-
 %% Shaped Noise
 V_noise = generateShapedNoise('Ts', 1/Fs, ...
                               'V_mean', 3.25, ...
@@ -41,28 +24,79 @@ V_noise = generateShapedNoise('Ts', 1/Fs, ...
                               'smooth_ends', true, ...
                               'V_exc', 0.05/(1 + s/2/pi/10));
 
+%% Sweep Sine
+gc = 0.1;
+xi = 0.5;
+wn = 2*pi*92.7;
+
+% Notch filter at the resonance of the APA
+G_sweep = 0.2*(s^2 + 2*gc*xi*wn*s + wn^2)/(s^2 + 2*xi*wn*s + wn^2);
+
+V_sweep = generateSweepExc('Ts',      Ts, ...
+                           'f_start', 10, ...
+                           'f_end',   400, ...
+                           'V_mean',  3.25, ...
+                           't_start', Trec_start, ...
+                           'exc_duration', Trec_dur, ...
+                           'sweep_type',   'log', ...
+                           'V_exc', G_sweep*1/(1 + s/2/pi/500));
+
+V_sweep_lf = generateSweepExc('Ts',      Ts, ...
+                           'f_start', 0.1, ...
+                           'f_end',   10, ...
+                           'V_mean',  3.25, ...
+                           't_start', Trec_start, ...
+                           'exc_duration', Trec_dur, ...
+                           'sweep_type',   'log', ...
+                           'V_exc', 0.2);
+
+%% High Frequency Shaped Noise
+[b,a] = cheby1(10, 2, 2*pi*[300 2e3], 'bandpass', 's');
+wL = 0.005*tf(b, a);
+
+V_noise_hf = generateShapedNoise('Ts', 1/Fs, ...
+                              'V_mean', 3.25, ...
+                              't_start', Trec_start, ...
+                              'exc_duration', Trec_dur, ...
+                              'smooth_ends', true, ...
+                              'V_exc', wL);
+
 %% Sinus excitation with increasing amplitude
 V_sin = generateSinIncreasingAmpl('Ts', 1/Fs, ...
                                   'V_mean', 3.25, ...
                                   'sin_ampls', [0.1, 0.2, 0.4, 1, 2, 4], ...
                                   'sin_period', 1, ...
                                   'sin_num', 5, ...
-                                    't_start', 10, ...
+                                  't_start', Trec_start, ...
                                   'smooth_ends', true);
 
+%% Zero Excitation
+% Trec_start = 10;  % Start time for Recording [s]
+% Trec_dur   = 40; % Recording Duration [s]
+% 
+% Tsim = 2*Trec_start + Trec_dur;  % Simulation Time [s]
+
+V_zero = generateShapedNoise('Ts', 1/Fs, ...
+                             'V_mean', 3.25, ...
+                             't_start', Trec_start, ...
+                             'exc_duration', Trec_dur, ...
+                             'smooth_ends', true, ...
+                             'V_exc', tf(0));
+
 %% Select the excitation signal
 V_exc = timeseries(V_noise(2,:), V_noise(1,:));
 
+%% Plot
 figure;
 tiledlayout(1, 2, 'TileSpacing', 'Normal', 'Padding', 'None');
 
 ax1 = nexttile;
-plot(V_exc(1,:), V_exc(2,:));
+plot(V_exc.Time, squeeze(V_exc.Data));
 xlabel('Time [s]'); ylabel('Amplitude [V]');
 
 ax2 = nexttile;
-win = hanning(floor(length(V_exc)/8));
+win = hanning(floor(length(squeeze(V_exc.Data))/8));
-[pxx, f] = pwelch(V_exc(2,:), win, 0, [], Fs);
+[pxx, f] = pwelch(squeeze(V_exc.Data), win, 0, [], Fs);
 plot(f, pxx)
 xlabel('Frequency [Hz]'); ylabel('Power Spectral Density [$V^2/Hz$]');
 set(gca, 'xscale', 'log'); set(gca, 'yscale', 'log');

matlab/notes.txt

@@ -0,0 +1 @@
+6.39 kg