%% Clear Workspace and Close figures clear; close all; clc; %% Intialize Laplace variable s = zpk('s'); %% Add the getAsynchronousError to path addpath('./src/'); % Parameters mg = 3000; % Mass of granite [kg] ms = 50; % Mass of Spindle [kg] kg = 1e8; % Stiffness of granite [N/m] ks = 5e7; % Stiffness of spindle [N/m] % Compute Mass and Stiffness Matrices Mm = diag([ms, mg]); Km = diag([ks, ks+kg]) - diag(ks, -1) - diag(ks, 1); % Compute resonance frequencies A = [zeros(size(Mm)) eye(size(Mm)) ; -Mm\Km zeros(size(Mm))]; eigA = imag(eigs(A))/2/pi; eigA = eigA(eigA>0); eigA = eigA(1:2); % From model_damping compute the Damping Matrix modal_damping = 1e-5; ab = [0.5*eigA(1) 0.5/eigA(1) ; 0.5*eigA(2) 0.5/eigA(2)]\[modal_damping ; modal_damping]; Cm = ab(1)*Mm +ab(2)*Km; % Define inputs, outputs and state names StateName = {... 'xs', ... % Displacement of Spindle [m] 'xg', ... % Displacement of Granite [m] 'vs', ... % Velocity of Spindle [m] 'vg', ... % Velocity of Granite [m] }; StateUnit = {'m', 'm', 'm/s', 'm/s'}; InputName = {... 'f' ... % Spindle Force [N] }; InputUnit = {'N'}; OutputName = {... 'd' ... % Displacement [m] }; OutputUnit = {'m'}; % Define A, B and C matrices % A Matrix A = [zeros(size(Mm)) eye(size(Mm)) ; ... -Mm\Km -Mm\Cm]; % B Matrix B_low = zeros(length(StateName), length(InputName)); B_low(strcmp(StateName,'vs'), strcmp(InputName,'f')) = 1; B_low(strcmp(StateName,'vg'), strcmp(InputName,'f')) = -1; B = blkdiag(zeros(length(StateName)/2), pinv(Mm))*B_low; % C Matrix C = zeros(length(OutputName), length(StateName)); C(strcmp(OutputName,'d'), strcmp(StateName,'xs')) = 1; C(strcmp(OutputName,'d'), strcmp(StateName,'xg')) = -1; % D Matrix D = zeros(length(OutputName), length(InputName)); % Generate the State Space Model sys = ss(A, B, C, D); sys.StateName = StateName; sys.StateUnit = StateUnit; sys.InputName = InputName; sys.InputUnit = InputUnit; sys.OutputName = OutputName; sys.OutputUnit = OutputUnit; % Bode Plot % The transfer function from a disturbance force $f$ to the measured displacement $d$ is shown figure [[fig:spindle_f_to_d]]. freqs = logspace(-1, 3, 1000); figure; plot(freqs, abs(squeeze(freqresp(sys('d', 'f'), freqs, 'Hz')))); set(gca, 'XScale', 'log'); set(gca, 'YScale', 'log'); xlabel('Frequency [Hz]'); ylabel('Amplitude [m/N]'); % Save the model save('./mat/spindle_model.mat', 'sys');