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transient_duration_step_changes_additional_output.m
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transient_duration_step_changes_additional_output.m
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function [TD, maximum, transient_norm_square] =...
transient_duration_step_changes_additional_output(...
y,Fs,ED,Td,DD,TL,SW_Plot,nD)
%--------------------------------------------------------------------------
% Benchmark on Adaptive Regulation:
%
% Rejection of unknown/time-varying multiple narrow band disturbances
%
%--------------------------------------------------------------------------
%
% function TD = transient_duration_step_changes(y,Fs,ED,Td,DD,TL)
%
% This function computes the transient duration for narrow band disturbance
% rejection (Application to a Benchmark problem) for frequency step
% changes protocol.
%
% The function computes the transient duration for each step change in
% frequency during a sequence of step changes. The user has to specify
% what step change in the sequence has to be analysed (first, second, etc)
% by specifying the varaible nD.
%
% The transient duration is defined as the time necessary to the output
% to reach the value +/-2.17sigma , where sigma is the standard deviation
% for the residual output (once the algo has converged) computed during
% the 3 last seconds of the experiment.
%
% sigma (x) = sqrt ( var(x))
% where "x" is the vector of data corresponding to the 3 last seconds of
% the experiment.
%
% In addition the output after has reached for
% the first time 2.17 sigma should remain within +/- 4 sigma.
% The test has been developped assuming that the residual output is a
% gaussian process.(ie 97% of values are between +/-2.17 sigma, and
% 99.99% of values are between +/- 4 sigma).
%
% However it is tolerated that 0.1% of the measurements be outside +/- 4
% sigma. The percentage is denoted Dp. (to take in account that the
% residual error is not a pure gaussian variable).
%
%
% TD = transient_duration_step_changes(y,Fs,ED,Td,T1,DD,TL)
%
% TD : transient duration (in seconds)
%
% y : is vector of data
%
% Fs : is the sampling frequency ( Fs = 800 Hz by default)
%
% Ed : is the exepriment duration ( ED = 32 sec by default)
% The experiment duration should be at least equal to 10 sec.
%
% Td : Start disturbance time of the first disturbance (Td = 5 sec by default)
%
% nD : Considered disturbance
% nD can be equal to 1 for the first step change in frequencies, 2 for the
% second ... and 5 for the fifth and last one.
%
% DD : Duration of the application of the disturbance (DD = 3 sec by default)
%
% TL : Last disturbance duration (TL = 15 sec by default)
%
% threshold 1 = 2.17 * standard deviation (after convergence)
% threshold 2 = 4 * standard deviation (after convergence)
%
% Important Remark :
% If you use the default values : Fs=800; ED=32; Td=5; DD=3; TL=15; you can
% run the function with the syntax :
%
% TD = transient_duration_step_changes(y)
%
% Written by M. Alma and I.D. Landau (GIPSA-LAB)
% Version 1, September 16, 2010
%
% Updated by Xu Chen, University of Washington
% Version 2, 2010-09-26
% Added residual norm calculation
% Added a switch to disable the plots
if nargin<2,
Fs = 800; ED = 32; Td = 5;nD =1; DD = 3; TL = 15; SW_Plot = 'PlotOff';
end
if nargin<3,
ED = 32; Td = 5;nD =1; DD = 3; TL = 15; SW_Plot = 'PlotOff';
end
if nargin<4,
Td = 5;nD =1; DD = 3; TL = 15; SW_Plot = 'PlotOff';
end
if nargin<5,
nD = 1; DD = 3; TL = 15; SW_Plot = 'PlotOff';
end
if nargin<6,
TL = 15; SW_Plot = 'PlotOff'; nD = 1;
end
if nargin<7,
SW_Plot = 'PlotOff'; nD = 1;
end
if nargin<8,
nD = 1;
end
% y,Fs,ED,Td,DD,TL,SW_Plot,nD
if strcmp(SW_Plot,'PlotOn');
SW_PLOT = 1;
else
SW_PLOT = 0;
end
% fprintf (...
% 'Choose the considered disturbance (1- First 2- Second 3- Third 4- Fourth 5- Fifth )')
% fprintf ('\n')
% nD=input('nD=')
if Td>=ED, error('Disturbance must be injected before the end of the experiment'),end
T1 = Td + (nD-1)*DD;
y2=y(T1*Fs+1:(T1+DD)*Fs);
y2=y2-mean(y2);
y=y-mean(y);
perc = 99.9;
yres = y((ED-3)*Fs+1:ED*Fs);
sigma = sqrt(var(yres));
if SW_PLOT
sigma
end
threshold1 = 2.17*sigma;
threshold2 = 4*sigma;
l=0;
for n = 1:length(y2)
g=0;
if abs(y(n)) <= threshold1
for k = n:length(y2)
if abs(y2(k)) > threshold2
g= g+1;
end
end
if g<(length(y2)-n+1)*((100-perc)/100)
l=n;
break
end
end
end
% g;
Dp = g/(length(y2)-n+1) *100;
maximum = max(abs(y2));
TD=(l+1)/Fs;
% T1 = Td + (nD-1)*DD;
% y2=y(T1*Fs+1:(T1+DD)*Fs);
% y2=y2-mean(y2);
transient_norm_square = sum(y2(1:TD*Fs).^2);
if l==0, error('Algorithm does not converge'),end
if SW_PLOT
fprintf ('Percentage of points above +/- 4 sigma is :')
Dp
fprintf ('The transient maximum value is:')
maximum
fprintf ('Transient duration is :')
TD
end
t = 0:1/800:DD-1/800;
threshold_vec1=threshold1*ones(1,length(y2));
threshold_vec2=threshold2*ones(1,length(y2));
vec_ver = -max(abs(y)):0.001:max(abs(y2));
TD_ver = (l+1)/Fs*ones(1,length(vec_ver));
if SW_PLOT
figure
plot(t,y2);
hold on
plot(t,threshold_vec1,'r','LineWidth',2)
hold on
plot(t,-threshold_vec1,'r','LineWidth',2)
hold on
plot(t,threshold_vec2,'k','LineWidth',2)
hold on
plot(t,-threshold_vec2,'k','LineWidth',2)
grid on
XLABEL('Time [sec]')
YLABEL('Residual force [V]')
title('Adaptive disturbance rejection')
figure
%hold on
plot(t,y2);
hold on
plot(t,threshold_vec1,'r','LineWidth',2)
hold on
plot(t,-threshold_vec1,'r','LineWidth',2)
hold on
plot(t,threshold_vec2,'k','LineWidth',2)
hold on
plot(t,-threshold_vec2,'k','LineWidth',2)
hold on
plot(TD_ver,vec_ver,'-.k','LineWidth',2)
hold on
text(TD,max(abs(y2))*3/4,...
['Transient duration = ',num2str(TD)],...
'HorizontalAlignment','center',...
'BackgroundColor',[.7 .9 .7],...
'FontSize',16);
hold on
text(TD,-max(abs(y2))*3/4,...
['Maximum transient value = ',num2str(maximum)],...
'HorizontalAlignment','center',...
'BackgroundColor',[.7 .9 .7],...
'FontSize',16);
grid on
XLABEL('Time [sec]')
YLABEL('Residual force [V]')
title('Adaptive disturbance rejection')
xlim([0 2*TD]);
ylim([-max(abs(y2)) max(abs(y2))]);
end