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FLIDU_v1_0.m
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FLIDU_v1_0.m
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%% FLIDU Main Function
% This function reads settings from UncertaintyConfig.m, calls the
% Uncertainty and Bias calculation functions and plots uncertainty and bias
% results
%Created
% Moritz Gräfe 12.2022, Suttgart Wind Energy (SWE)
clc
clear all
close all
% set anaysis case
ParameterStudy= true;
vlos_DOF= false;
LookupTable = false;
figures_repo='Figures\';
%% 2. Loop over processes
nProcess = UncertaintyConfig(1,'GetNumberOfProcesses');
disp([num2str(nProcess) ' Processes will be preprocessed.'])
Random_seed = rand(4,1000);
for iProcess=1:nProcess
%% 2.1 Get parameters for process
PreProcessingVariation{iProcess} = UncertaintyConfig(iProcess,'GetPreProcessingVariation');
%nInitFiles = 0;
[nVariation,nPermutation,Permutation] = PermutationMatrix(PreProcessingVariation{iProcess});
%% 2.2 Loop over permutations
for iPermutation = 1:nPermutation
Variation = NaN(nVariation,1);
for iVariation = 1:nVariation
Variation(iVariation) = PreProcessingVariation{iProcess}{iVariation, 2}(Permutation(iPermutation, iVariation));
end
[ProcessName,ResultsFilesDir,Config, Parameter] = UncertaintyConfig(iProcess,'PreProcessing', Variation);
Dynamics=CalcLidarDynamics(Parameter,Config, Random_seed);
% Call Error calc
Error= Errorcalc(Parameter, Config,Dynamics);
% Call Uncertainty calc
Uncertainty=Uncertaintycalc(Parameter,Config, Dynamics, Error);
%save struct for timeseries plotting
TS_cases{iPermutation}= Uncertainty;
%% Prepare for plotting
if ParameterStudy
uncertainty_u{iProcess}(PreProcessingVariation{iProcess}{1, 2} ==Variation(1), PreProcessingVariation{iProcess}{2, 2}==Variation(2),PreProcessingVariation{iProcess}{3, 2}==Variation(3))=Uncertainty.U_u_total;
ErrorTable.V(PreProcessingVariation{iProcess}{1, 2}==Variation(1) ,...
PreProcessingVariation{iProcess}{2, 2}==Variation(2), ...
PreProcessingVariation{iProcess}{3, 2}==Variation(3),...
PreProcessingVariation{iProcess}{4, 2}==Variation(4),...
PreProcessingVariation{iProcess}{5, 2}==Variation(5)) = Error.u_total;
ErrorTable.x(PreProcessingVariation{iProcess}{2, 2}==Variation(2))=Variation(2);
ErrorTable.y(PreProcessingVariation{iProcess}{3, 2}==Variation(3))=Variation(3);
ErrorTable.z(PreProcessingVariation{iProcess}{4, 2}==Variation(4))=Variation(4);
error_u_rel{iProcess}(PreProcessingVariation{iProcess}{1, 2}==Variation(1),PreProcessingVariation{iProcess}{2, 2}==Variation(2),PreProcessingVariation{iProcess}{3, 2}==Variation(3))=Error.u_total ;
end
end
%%
if LookupTable
ErrorTable.V=mean(ErrorTable.V,5);
save(ErrorTable)
end
if ParameterStudy
error_u_rel{iProcess}=mean(error_u_rel{iProcess},3);
uncertainty_u{iProcess}=mean(uncertainty_u{iProcess},3);
end
end
%% FLIDU Figure 3
if ParameterStudy
%Uncertainty and bias in u for vary A Pitch and vary T Pitch
% fiugre Uuncertainty
title_numeration={'a','b','c','d'};
figure
tiledlayout(2,2)
for iProcess=1:nProcess
nexttile
[x,y]=meshgrid(PreProcessingVariation{iProcess}{2, 2},PreProcessingVariation{iProcess}{1, 2});
pcolor(x,y,uncertainty_u{iProcess})
xlabel(PreProcessingVariation{iProcess}{2, 1})
ylabel(PreProcessingVariation{iProcess}{1, 1})
title([title_numeration{iProcess}, ')'])
shading interp
c=colorbar;
caxis([0 1.5])
c.Label.String = 'Uncertainty [m/s]';
end
readyforprint([5 4],7,'k','w',0.6)
filename= join([figures_repo,'Uncertainty_u']);
savefig(filename)
print('-depsc2','-painters',filename)
print(filename,'-dpdf')
%% %Bias u
figure
tiledlayout(2,2)
for iProcess=1:4
nexttile
[x,y]=meshgrid(PreProcessingVariation{iProcess}{2, 2},PreProcessingVariation{iProcess}{1, 2});
pcolor(x,y,error_u_rel{iProcess})
xlabel(PreProcessingVariation{iProcess}{2, 1})
ylabel(PreProcessingVariation{iProcess}{1, 1})
title([title_numeration{iProcess}, ')'])
shading interp
c=colorbar;
caxis([-0.15 0.1])
c.Label.String = 'Bias [m/s]';
end
readyforprint([5 4],7,'k','w',0.6)
filename= join([figures_repo,'Bias_u']);
savefig(filename)
print('-depsc2','-painters',filename)
print(filename,'-dpdf')
end
%% DOF
if vlos_DOF
% translational velocities
figure
tiledlayout(1,3)
num_beam=Config.num_beam;
for iPlotting=3:length(TS_cases)
TS=TS_cases{1,iPlotting};
t=1:length(TS.xvel)
c=turbo(4)
nexttile
hold on
for i=1:num_beam
v2=plot(TS.xvel, TS.v_los_transx(i,:), '-','Color',c(i,:));
ylabel('LOS [m/s]')
end
plot(TS.xvel,TS.u_rec_transx,'--b')
grid on
hold off
ylim([6 12])
xlabel('x-Velocity [m/s]')
title('x-Translation')
nexttile
hold on
for i=1:num_beam
v5=plot(TS.yvel, TS.v_los_transy(i,:), '-','Color',c(i,:));
ylabel('LOS [m/s]')
end
plot(TS.yvel,TS.u_rec_transy,'--b')
hold off
grid on
ylim([6 12])
xlabel('y-Velocity [m/s]')
title('y-Translation')
nexttile
hold on
for i=1:num_beam
v(i)=plot(TS.zvel, TS.v_los_transz(i,:), '-','Color',c(i,:));
ylabel('LOS [m/s]')
end
v(i+1)=plot(TS.zvel,TS.u_rec_transz,'--b')
hold off
grid on
ylim([6 12])
xlabel('z-Velocity [m/s]')
title('z-Translation')
end
Lgnd = legend(v,'V_{LOS1}', 'V_{LOS2}','V_{LOS3}','V_{LOS4}','u - Windspeed reconststructed', 'Location','southoutside' ,'NumColumns',5)
Lgnd.Layout.Tile = 'south';
readyforprint([8 2],6,'k','w',0.4)
filename= join([figures_repo,'V_LOS_trans']);
savefig(filename)
print('-depsc2','-painters',filename)
print(filename,'-dpdf')
% Rotation + heave
figure
tiledlayout(3,4)
num_beam=Config.num_beam;
for iPlotting=1:length(TS_cases)
TS=TS_cases{1,iPlotting};
t=1:length(TS.psi);
c = turbo(4);
nexttile
hold on
for i=1:num_beam
p2=plot(rad2deg(TS.psi), TS.v_los_yaw(i,:),'-','Color',c(i,:),'LineWidth',1);
ylabel('v_{los} [m/s]')
ylim([7 11])
grid on
end
plot(rad2deg(TS.psi),TS.u_rec_yaw, '--b')
hold off
xlabel('\psi [°]')
title('Yaw');
%pitch
nexttile
hold on
for i=1:num_beam
p5=plot(rad2deg(TS.beta), TS.v_los_pitch(i,:), '-', 'Color',c(i,:),'LineWidth',3);
ylabel('v_{los} [m/s]')
ylim([7 11])
grid on
end
plot(rad2deg(TS.psi),TS.u_rec_pitch, '--b')
hold off
xlabel('\beta [°]')
title('Pitch');
% roll
nexttile
hold on
for i=1:num_beam
p8=plot(rad2deg(TS.gamma), TS.v_los_roll(i,:), '-','Color',c(i,:),'LineWidth',3);
ylabel('v_{los} [m/s]')
ylim([7 11])
grid on
end
plot(rad2deg(TS.psi),TS.u_rec_roll, '--b')
hold off
xlabel('\gamma [°]')
title('Roll');
%heave
nexttile
hold on
for i=1:num_beam
p(i)=plot((TS.h_heave), TS.v_los_heave(i,:), '-', 'Color',c(i,:),'LineWidth',3);
ylabel('v_{los} [m/s]')
ylim([7 11])
grid on
end
p(i+1)= plot(TS.h_heave,TS.u_rec_heave,'--b')
hold off
xlabel('heave [m]')
title('Heave');
end
Lgnd = legend(p,'V_{LOS1}', 'V_{LOS2}','V_{LOS3}','V_{LOS4}','u - Windspeed reconststructed', 'Location','southoutside' ,'NumColumns',5)
Lgnd.Layout.Tile = 'south';
readyforprint([8 6],6,'k','w',0.4)
filename= join([figures_repo,'V_LOS_rotation']);
savefig(filename)
print('-depsc2','-painters',filename)
print(filename,'-dpdf')
end