129 lines
3.3 KiB
Matlab
129 lines
3.3 KiB
Matlab
%% Clear Workspace and Close figures
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clear; close all; clc;
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%% Intialize Laplace variable
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s = zpk('s');
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addpath('./src/');
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%% Simulation configuration
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Fs = 10e3; % Sampling Frequency [Hz]
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Ts = 1/Fs; % Sampling Time [s]
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%% Data record configuration
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Trec_start = 5; % Start time for Recording [s]
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Trec_dur = 60; % Recording Duration [s]
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Tsim = 2*Trec_start + Trec_dur; % Simulation Time [s]
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%% Security
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u_min = -1;
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u_max = 7.5;
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%% Shaped Noise
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V_noise = generateShapedNoise('Ts', 1/Fs, ...
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'V_mean', 0, ...
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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', 0.05/(1 + s/2/pi/10));
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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*92.7;
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% Notch filter at the resonance of the APA
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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', 400, ...
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'V_mean', 0, ...
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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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V_sweep_lf = generateSweepExc('Ts', Ts, ...
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'f_start', 0.1, ...
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'f_end', 10, ...
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'V_mean', 0, ...
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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', 0.2);
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%% High Frequency Shaped Noise
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[b,a] = cheby1(10, 2, 2*pi*[240 2e3], 'bandpass', 's');
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wL = 0.005*tf(b, a);
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V_noise_hf = generateShapedNoise('Ts', Ts, ...
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'V_mean', 0, ...
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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', wL);
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%% Low Frequency Shaped Noise
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[b,a] = cheby1(10, 2, 2*pi*[10 260], 'bandpass', 's');
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wL = 0.005*tf(b, a);
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V_noise_lf = generateShapedNoise('Ts', 1/Fs, ...
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'V_mean', 0, ...
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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', wL);
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%% Sinus excitation with increasing amplitude
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V_sin = generateSinIncreasingAmpl('Ts', 1/Fs, ...
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'V_mean', 0, ...
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'sin_ampls', [0.1, 0.2, 0.4, 1, 2, 4], ...
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'sin_period', 1, ...
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'sin_num', 5, ...
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't_start', Trec_start, ...
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'smooth_ends', true);
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%% Zero Voltage
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V_zero = generateShapedNoise('Ts', 1/Fs, ...
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'V_mean', 0, ...
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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', tf(0));
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%% Offset Voltage for all APA
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V_zero_off = 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', tf(0));
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%% Select the excitation signal and offset voltage
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V_exc = timeseries(V_zero(2,:), V_zero(1,:));
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V_off = timeseries(V_zero_off(2,:), V_zero_off(1,:));
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%% Plot
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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+V_off.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(squeeze(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 data that will be loaded in the Simulink file
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save('sim_data/data_sim.mat', ...
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'Fs', 'Ts', 'Tsim', 'Trec_start', 'Trec_dur', ...
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'V_exc', 'V_off', ...
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'u_min', 'u_max');
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