function [] = initDisturbances(opts_param) % initDisturbances - Initialize the disturbances % % Syntax: [] = initDisturbances(opts_param) % % Inputs: % - opts_param - %% Default values for opts opts = struct(... 'Dwx', true, ... % Ground Motion - X direction 'Dwy', true, ... % Ground Motion - Y direction 'Dwz', true, ... % Ground Motion - Z direction 'Fty_x', true, ... % Translation Stage - X direction 'Fty_z', true, ... % Translation Stage - Z direction 'Frz_z', true ... % Spindle - Z direction ); %% Populate opts with input parameters if exist('opts_param','var') for opt = fieldnames(opts_param)' opts.(opt{1}) = opts_param.(opt{1}); end end load('./disturbances/mat/dist_psd.mat', 'dist_f'); dist_f.f = dist_f.f(2:end); dist_f.psd_gm = dist_f.psd_gm(2:end); dist_f.psd_ty = dist_f.psd_ty(2:end); dist_f.psd_rz = dist_f.psd_rz(2:end); Fs = 2*dist_f.f(end); % Sampling Frequency of data is twice the maximum frequency of the PSD vector [Hz] N = 2*length(dist_f.f); % Number of Samples match the one of the wanted PSD T0 = N/Fs; % Signal Duration [s] df = 1/T0; % Frequency resolution of the DFT [Hz] % Also equal to (dist_f.f(2)-dist_f.f(1)) t = linspace(0, T0, N+1)'; % Time Vector [s] Ts = 1/Fs; % Sampling Time [s] phi = dist_f.psd_gm; C = zeros(N/2,1); for i = 1:N/2 C(i) = sqrt(phi(i)*df); end if opts.Dwx theta = 2*pi*rand(N/2,1); % Generate random phase [rad] Cx = [0 ; C.*complex(cos(theta),sin(theta))]; Cx = [Cx; flipud(conj(Cx(2:end)))];; Dwx = N/sqrt(2)*ifft(Cx); % Ground Motion - x direction [m] else Dwx = zeros(length(t), 1); end if opts.Dwy theta = 2*pi*rand(N/2,1); % Generate random phase [rad] Cx = [0 ; C.*complex(cos(theta),sin(theta))]; Cx = [Cx; flipud(conj(Cx(2:end)))];; Dwy = N/sqrt(2)*ifft(Cx); % Ground Motion - y direction [m] else Dwy = zeros(length(t), 1); end if opts.Dwy theta = 2*pi*rand(N/2,1); % Generate random phase [rad] Cx = [0 ; C.*complex(cos(theta),sin(theta))]; Cx = [Cx; flipud(conj(Cx(2:end)))];; Dwz = N/sqrt(2)*ifft(Cx); % Ground Motion - z direction [m] else Dwz = zeros(length(t), 1); end if opts.Fty_x phi = dist_f.psd_ty; % TODO - we take here the vertical direction which is wrong but approximate C = zeros(N/2,1); for i = 1:N/2 C(i) = sqrt(phi(i)*df); end theta = 2*pi*rand(N/2,1); % Generate random phase [rad] Cx = [0 ; C.*complex(cos(theta),sin(theta))]; Cx = [Cx; flipud(conj(Cx(2:end)))];; u = N/sqrt(2)*ifft(Cx); % Disturbance Force Ty x [N] Fty_x = u; else Fty_x = zeros(length(t), 1); end if opts.Fty_z phi = dist_f.psd_ty; C = zeros(N/2,1); for i = 1:N/2 C(i) = sqrt(phi(i)*df); end theta = 2*pi*rand(N/2,1); % Generate random phase [rad] Cx = [0 ; C.*complex(cos(theta),sin(theta))]; Cx = [Cx; flipud(conj(Cx(2:end)))];; u = N/sqrt(2)*ifft(Cx); % Disturbance Force Ty z [N] Fty_z = u; else Fty_z = zeros(length(t), 1); end if opts.Frz_z phi = dist_f.psd_rz; C = zeros(N/2,1); for i = 1:N/2 C(i) = sqrt(phi(i)*df); end theta = 2*pi*rand(N/2,1); % Generate random phase [rad] Cx = [0 ; C.*complex(cos(theta),sin(theta))]; Cx = [Cx; flipud(conj(Cx(2:end)))];; u = N/sqrt(2)*ifft(Cx); % Disturbance Force Rz z [N] Frz_z = u; else Frz_z = zeros(length(t), 1); end u = zeros(length(t), 6); Fd = u; Dwx = Dwx - Dwx(1); Dwy = Dwy - Dwy(1); Dwz = Dwz - Dwz(1); Fty_x = Fty_x - Fty_x(1); Fty_z = Fty_z - Fty_z(1); Frz_z = Frz_z - Frz_z(1); save('./mat/nass_disturbances.mat', 'Dwx', 'Dwy', 'Dwz', 'Fty_x', 'Fty_z', 'Frz_z', 'Fd', 'Ts', 't');