Merge branch 'main' of https://git.fasttube.de/t.korjakow/ft24_pacejka_tyre
This commit is contained in:
commit
5deb4cb4e4
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scripts/FX.fig
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scripts/FX.fig
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scripts/FY.fig
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scripts/FY.fig
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scripts/MX.fig
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scripts/MX.fig
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scripts/MZ.fig
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scripts/MZ.fig
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@ -1,7 +1,8 @@
|
||||
%% please open Magic Formular APP first
|
||||
clear
|
||||
clc
|
||||
n = 20;
|
||||
mkdir('similarityData');
|
||||
|
||||
%%
|
||||
directoryPath = "..\sorted_data";
|
||||
subdirectories = getSubdirectories(directoryPath);
|
||||
@ -15,32 +16,207 @@ subdirectories_list = contents([contents.isdir] & ~ismember({contents.name}, {'.
|
||||
% Extract and display the names of the subdirectories
|
||||
subdirectoryNames = {subdirectories_list.name};
|
||||
%%
|
||||
figure()
|
||||
% figure()
|
||||
% for i=1:length(subdirectories)
|
||||
% fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
% parser = tydex.parsers.FSAETTC_SI_ISO_Mat();
|
||||
% measurements = parser.run(fileMeasurement);
|
||||
% measurement = measurements(n);
|
||||
%
|
||||
% [SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
% FY = smoothdata(FY, "gaussian",100);
|
||||
% if i < length(subdirectories)/3
|
||||
% plot(SA, FY, 'LineWidth', 1)
|
||||
% elseif i <= length(subdirectories)/3*2
|
||||
% plot(SA, FY, '--','LineWidth', 1)
|
||||
% else
|
||||
% plot(SA, FY, '-.','LineWidth', 1)
|
||||
% end
|
||||
% SAA{i} = SA;
|
||||
% FYY{i} = FY;
|
||||
% hold on
|
||||
% end
|
||||
% legend(subdirectoryNames{:})
|
||||
% title("Similarities, n=",n)
|
||||
% xlabel("Slip Angle")
|
||||
% ylabel("FY")
|
||||
|
||||
for i=1:length(subdirectories)
|
||||
fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
parser = tydex.parsers.FSAETTC_SI_ISO_Mat();
|
||||
measurements = parser.run(fileMeasurement);
|
||||
measurement = measurements(n);
|
||||
|
||||
[SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
FY = smoothdata(FY, "gaussian",100);
|
||||
if i < length(subdirectories)/3
|
||||
plot(SA, FY, 'LineWidth', 1)
|
||||
elseif i <= length(subdirectories)/3*2
|
||||
plot(SA, FY, '--','LineWidth', 1)
|
||||
else
|
||||
plot(SA, FY, '-.','LineWidth', 1)
|
||||
% SA-MX
|
||||
% figure()
|
||||
% for i=1:length(subdirectories)
|
||||
% fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
% parser = tydex.parsers.FSAETTC_SI_ISO_Mat();
|
||||
% measurements = parser.run(fileMeasurement);
|
||||
% measurement = measurements(n);
|
||||
%
|
||||
% [SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
% MX = smoothdata(MX, "gaussian",100);
|
||||
% if i < length(subdirectories)/3
|
||||
% plot(SA, MX, 'LineWidth', 1)
|
||||
% elseif i <= length(subdirectories)/3*2
|
||||
% plot(SA, MX,'--','LineWidth', 1)
|
||||
% else
|
||||
% plot(SA, MX, '-.','LineWidth', 1)
|
||||
% end
|
||||
% hold on
|
||||
% end
|
||||
% legend(subdirectoryNames{:})
|
||||
% title("Similarities, n=",n)
|
||||
% xlabel("Slip Angle")
|
||||
% ylabel("MX")
|
||||
|
||||
|
||||
% SA - MZ
|
||||
% figure()
|
||||
% for i=1:length(subdirectories)
|
||||
% parser = tydex.parsers.FSAETTC_SI_ISO_Mat();
|
||||
% fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
% measurements = parser.run(fileMeasurement);
|
||||
% measurement = measurements(n);
|
||||
%
|
||||
%
|
||||
% [SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
% MZ = smoothdata(MZ, "gaussian",100);
|
||||
% if i < length(subdirectories)/3
|
||||
% plot(SA, MZ, 'LineWidth', 1)
|
||||
% elseif i <= length(subdirectories)/3*2
|
||||
% plot(SA, MZ,'--','LineWidth', 1)
|
||||
% else
|
||||
% plot(SA, MZ, '-.','LineWidth', 1)
|
||||
% end
|
||||
% SAA{i} = SA;
|
||||
% MZZ{i} = MZ;
|
||||
% hold on
|
||||
% end
|
||||
% legend(subdirectoryNames{:})
|
||||
% title("Similarities, n=",n)
|
||||
% xlabel("Slip Angle")
|
||||
% ylabel("MZ")
|
||||
|
||||
|
||||
% for n=1:1
|
||||
% figure()
|
||||
% j = 1;
|
||||
% for i=8:8%length(subdirectories)
|
||||
% fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
% fileMeasurement1 = fullfile("..\sorted_data", subdirectories{i}, "\drivebrake.mat");
|
||||
% parser = tydex.parsers.FSAETTC_SI_ISO_Mat();
|
||||
% try
|
||||
% measurements = parser.run(fileMeasurement);
|
||||
% measurement = measurements(n);
|
||||
%
|
||||
% measurements1 = parser.run(fileMeasurement1);
|
||||
% measurement1 = measurements1(n);
|
||||
%
|
||||
% [SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
% [SX1,SA1,FZ1,IP1,IA1,VX1,FX1,FY1,MZ1,MY1,MX1,W1,T1] = unpack(measurement1);
|
||||
%
|
||||
% MX = smoothdata(MX, "gaussian");
|
||||
% if i < length(subdirectories)/3
|
||||
% plot(SA, FY, 'LineWidth', 1)
|
||||
% elseif i <= length(subdirectories)/3*2
|
||||
% plot(SA, FY, '--','LineWidth', 1)
|
||||
% else
|
||||
% plot(SA, FY, '-.','LineWidth', 1)
|
||||
% end
|
||||
% lengends{j} = subdirectoryNames{i};
|
||||
% j = j+1;
|
||||
% hold on
|
||||
% catch
|
||||
% disp(fileMeasurement)
|
||||
% end
|
||||
% end
|
||||
% legend(lengends{:})
|
||||
% title("Similarities, n=",n)
|
||||
% xlabel("SA")
|
||||
% ylabel("MZ")
|
||||
% end
|
||||
|
||||
%% prove FY are the same
|
||||
for n=1:10:60
|
||||
figure()
|
||||
for i=9:9%length(subdirectories)
|
||||
fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
fileMeasurement1 = fullfile("..\sorted_data", subdirectories{i}, "\drivebrake.mat");
|
||||
parser = tydex.parsers.FSAETTC_SI_ISO_Mat();
|
||||
try
|
||||
measurements = parser.run(fileMeasurement);
|
||||
measurement = measurements(n);
|
||||
|
||||
measurements1 = parser.run(fileMeasurement1);
|
||||
measurement1 = measurements1(n);
|
||||
|
||||
[SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
[SX1,SA1,FZ1,IP1,IA1,VX1,FX1,FY1,MZ1,MY1,MX1,W1,T1] = unpack(measurement1);
|
||||
|
||||
MX = smoothdata(MX, "gaussian");
|
||||
plot(SA, FY, 'LineWidth', 1)
|
||||
hold on
|
||||
plot(SA1, FY1, 'LineWidth', 1)
|
||||
legend("Cornering", "drivebrake")
|
||||
catch
|
||||
disp(fileMeasurement)
|
||||
end
|
||||
end
|
||||
SAA{i} = SA;
|
||||
FYY{i} = FY;
|
||||
hold on
|
||||
title("Similarities, n=",n)
|
||||
xlabel("SA")
|
||||
ylabel("FY")
|
||||
end
|
||||
legend(subdirectoryNames{:})
|
||||
title("Similarities, n=",n)
|
||||
xlabel("Slip Angle")
|
||||
ylabel("FY")
|
||||
%% without plot
|
||||
% mkdir('similarityDataFY');
|
||||
% for n=1:60
|
||||
% for i=1:length(subdirectories)
|
||||
% fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
% parser = tydex.parsers.FSAETTC_SI_ISO_Mat();
|
||||
% measurements = parser.run(fileMeasurement);
|
||||
% measurement = measurements(n);
|
||||
%
|
||||
% [SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
% FY = smoothdata(FY, "gaussian",100);
|
||||
% SAA{i} = SA;
|
||||
% FYY{i} = FY;
|
||||
% end
|
||||
% file_name = ['similarityDataFY\nEqu' num2str(n) '.mat'];
|
||||
% save(file_name, 'SAA', 'FYY');
|
||||
% end
|
||||
|
||||
|
||||
% mkdir('similarityDataFX');
|
||||
% for n=1:60
|
||||
% for i=1:length(subdirectories)
|
||||
% fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
% parser = tydex.parsers.FSAETTC_SI_ISO_Mat();
|
||||
% measurements = parser.run(fileMeasurement);
|
||||
% measurement = measurements(n);
|
||||
%
|
||||
% [SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
% FX = smoothdata(FX, "gaussian",100);
|
||||
% SAA{i} = SA;
|
||||
% FXX{i} = FX;
|
||||
% end
|
||||
% file_name = ['similarityDataFX\nEqu' num2str(n) '.mat'];
|
||||
% save(file_name, 'SAA', 'FXX');
|
||||
% end
|
||||
%
|
||||
% mkdir("similarityDataMZ")
|
||||
% for n=1:60
|
||||
% for i=1:length(subdirectories)
|
||||
% fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
% parser = tydex.parsers.FSAETTC_SI_ISO_Mat();
|
||||
% measurements = parser.run(fileMeasurement);
|
||||
% measurement = measurements(n);
|
||||
%
|
||||
% [SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
% MZ = smoothdata(MZ, "gaussian",100);
|
||||
% SAA{i} = SA;
|
||||
% MZZ{i} = MZ;
|
||||
% end
|
||||
% file_name = ['similarityDataMZ\nEqu' num2str(n) '.mat'];
|
||||
% save(file_name, 'SAA', 'MZZ');
|
||||
% end
|
||||
|
||||
mkdir("similarityDataMX")
|
||||
for n=1:60
|
||||
for i=1:length(subdirectories)
|
||||
fileMeasurement = fullfile("..\sorted_data", subdirectories{i}, "\cornering.mat");
|
||||
@ -49,10 +225,10 @@ for n=1:60
|
||||
measurement = measurements(n);
|
||||
|
||||
[SX,SA,FZ,IP,IA,VX,FX,FY,MZ,MY,MX,W,T] = unpack(measurement);
|
||||
FY = smoothdata(FY, "gaussian",100);
|
||||
MX = smoothdata(MX, "gaussian",100);
|
||||
SAA{i} = SA;
|
||||
FYY{i} = FY;
|
||||
MXX{i} = MX;
|
||||
end
|
||||
file_name = ['similarityData\nEqu' num2str(n) '.mat'];
|
||||
save(file_name, 'SAA', 'FYY');
|
||||
file_name = ['similarityDataMX\nEqu' num2str(n) '.mat'];
|
||||
save(file_name, 'SAA', 'MXX');
|
||||
end
|
||||
|
||||
@ -1,6 +1,7 @@
|
||||
clear;
|
||||
clc;
|
||||
% Use the dir function to get information about files and directories
|
||||
|
||||
% % FY
|
||||
directoryPath = ".\similarityData";
|
||||
|
||||
% Get a list of all files in the directory
|
||||
@ -29,7 +30,7 @@ for tire=1:length(SAA)
|
||||
end
|
||||
residuals_tire{tire} = residuals_one_tire;
|
||||
end
|
||||
%% mean
|
||||
% mean
|
||||
for tire=1:length(SAA)
|
||||
num = 0;
|
||||
% each tire under 60 measurement conditions
|
||||
@ -42,11 +43,11 @@ for tire=1:length(SAA)
|
||||
end
|
||||
residuals_mean{tire} = sum(residuals_tire{tire})/num;
|
||||
end
|
||||
%% median
|
||||
% median
|
||||
for tire=1:length(SAA)
|
||||
residuals_median{tire} = median(residuals_tire{tire});
|
||||
end
|
||||
%% mode
|
||||
% mode
|
||||
for tire=1:length(SAA)
|
||||
residuals_mode{tire} = mode(residuals_tire{tire});
|
||||
end
|
||||
@ -64,6 +65,7 @@ ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
|
||||
|
||||
subplot(312)
|
||||
y = cell2mat(residuals_median);
|
||||
plot(idx, y, "-o")
|
||||
@ -82,3 +84,263 @@ xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
sgtitle("FY")
|
||||
|
||||
%% FX
|
||||
directoryPath = ".\similarityDataFX";
|
||||
% Get a list of all files in the directory
|
||||
files = dir(fullfile(directoryPath, '*.mat')); % You can adjust the file extension as needed
|
||||
|
||||
% Extract file names
|
||||
fileNames = {files.name};
|
||||
|
||||
for n=1:length(fileNames)
|
||||
% fit the curve of 43075 , 8 inch
|
||||
filePath = fullfile(directoryPath, fileNames(n));
|
||||
load(filePath);
|
||||
[fitresult, gof] = createFit(SAA{8},FXX{8});
|
||||
% Evaluate the fitted curves
|
||||
for tire=1:length(SAA)
|
||||
y_fit = fitresult(SAA{tire});
|
||||
% Calculate residuals
|
||||
residuals{tire}{n} = abs(FXX{tire} - fitresult(SAA{tire}));
|
||||
end
|
||||
end
|
||||
|
||||
for tire=1:length(SAA)
|
||||
residuals_one_tire = [];
|
||||
for n=1:length(fileNames)
|
||||
residuals_one_tire = [residuals_one_tire; residuals{tire}{n}];
|
||||
end
|
||||
residuals_tire{tire} = residuals_one_tire;
|
||||
end
|
||||
% mean
|
||||
for tire=1:length(SAA)
|
||||
num = 0;
|
||||
% each tire under 60 measurement conditions
|
||||
for i=1:length(residuals_tire{tire})
|
||||
if not(isnan(residuals_tire{tire}(i)))
|
||||
num = num + 1;
|
||||
else
|
||||
residuals_tire{tire}(i) = 0;
|
||||
end
|
||||
end
|
||||
residuals_mean{tire} = sum(residuals_tire{tire})/num;
|
||||
end
|
||||
% median
|
||||
for tire=1:length(SAA)
|
||||
residuals_median{tire} = median(residuals_tire{tire});
|
||||
end
|
||||
% mode
|
||||
for tire=1:length(SAA)
|
||||
residuals_mode{tire} = mode(residuals_tire{tire});
|
||||
end
|
||||
|
||||
% plots
|
||||
idx = linspace(1,length(SAA),length(SAA));
|
||||
|
||||
figure()
|
||||
subplot(311)
|
||||
y = cell2mat(residuals_mean);
|
||||
plot(idx, y, "-*")
|
||||
title("Average Absolute Residuials")
|
||||
xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
|
||||
|
||||
subplot(312)
|
||||
y = cell2mat(residuals_median);
|
||||
plot(idx, y, "-o")
|
||||
title("Median of the Absolute Residuials")
|
||||
xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
|
||||
|
||||
subplot(313)
|
||||
y = cell2mat(residuals_mode);
|
||||
plot(idx, y, "-o")
|
||||
title("Mode of the Absolute Residuials")
|
||||
xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
sgtitle("FX")
|
||||
|
||||
|
||||
%% Mx
|
||||
directoryPath = ".\similarityDataMX";
|
||||
% Get a list of all files in the directory
|
||||
files = dir(fullfile(directoryPath, '*.mat')); % You can adjust the file extension as needed
|
||||
|
||||
% Extract file names
|
||||
fileNames = {files.name};
|
||||
|
||||
for n=1:length(fileNames)
|
||||
% fit the curve of 43075 , 8 inch
|
||||
filePath = fullfile(directoryPath, fileNames(n));
|
||||
load(filePath);
|
||||
[fitresult, gof] = createFit(SAA{8},MXX{8});
|
||||
% Evaluate the fitted curves
|
||||
for tire=1:length(SAA)
|
||||
y_fit = fitresult(SAA{tire});
|
||||
% Calculate residuals
|
||||
residuals{tire}{n} = abs(MXX{tire} - fitresult(SAA{tire}));
|
||||
end
|
||||
end
|
||||
|
||||
for tire=1:length(SAA)
|
||||
residuals_one_tire = [];
|
||||
for n=1:length(fileNames)
|
||||
residuals_one_tire = [residuals_one_tire; residuals{tire}{n}];
|
||||
end
|
||||
residuals_tire{tire} = residuals_one_tire;
|
||||
end
|
||||
% mean
|
||||
for tire=1:length(SAA)
|
||||
num = 0;
|
||||
% each tire under 60 measurement conditions
|
||||
for i=1:length(residuals_tire{tire})
|
||||
if not(isnan(residuals_tire{tire}(i)))
|
||||
num = num + 1;
|
||||
else
|
||||
residuals_tire{tire}(i) = 0;
|
||||
end
|
||||
end
|
||||
residuals_mean{tire} = sum(residuals_tire{tire})/num;
|
||||
end
|
||||
% median
|
||||
for tire=1:length(SAA)
|
||||
residuals_median{tire} = median(residuals_tire{tire});
|
||||
end
|
||||
% mode
|
||||
for tire=1:length(SAA)
|
||||
residuals_mode{tire} = mode(residuals_tire{tire});
|
||||
end
|
||||
|
||||
% plots
|
||||
idx = linspace(1,length(SAA),length(SAA));
|
||||
|
||||
figure()
|
||||
subplot(311)
|
||||
y = cell2mat(residuals_mean);
|
||||
plot(idx, y, "-*")
|
||||
title("Average Absolute Residuials")
|
||||
xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
|
||||
|
||||
subplot(312)
|
||||
y = cell2mat(residuals_median);
|
||||
plot(idx, y, "-o")
|
||||
title("Median of the Absolute Residuials")
|
||||
xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
|
||||
|
||||
subplot(313)
|
||||
y = cell2mat(residuals_mode);
|
||||
plot(idx, y, "-o")
|
||||
title("Mode of the Absolute Residuials")
|
||||
xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
sgtitle("MX")
|
||||
|
||||
%% Mz
|
||||
directoryPath = ".\similarityDataMZ";
|
||||
% Get a list of all files in the directory
|
||||
files = dir(fullfile(directoryPath, '*.mat')); % You can adjust the file extension as needed
|
||||
|
||||
% Extract file names
|
||||
fileNames = {files.name};
|
||||
|
||||
for n=1:length(fileNames)
|
||||
% fit the curve of 43075 , 8 inch
|
||||
filePath = fullfile(directoryPath, fileNames(n));
|
||||
load(filePath);
|
||||
[fitresult, gof] = createFit(SAA{8},MZZ{8});
|
||||
% Evaluate the fitted curves
|
||||
for tire=1:length(SAA)
|
||||
y_fit = fitresult(SAA{tire});
|
||||
% Calculate residuals
|
||||
residuals{tire}{n} = abs(MZZ{tire} - fitresult(SAA{tire}));
|
||||
end
|
||||
end
|
||||
|
||||
for tire=1:length(SAA)
|
||||
residuals_one_tire = [];
|
||||
for n=1:length(fileNames)
|
||||
residuals_one_tire = [residuals_one_tire; residuals{tire}{n}];
|
||||
end
|
||||
residuals_tire{tire} = residuals_one_tire;
|
||||
end
|
||||
% mean
|
||||
for tire=1:length(SAA)
|
||||
num = 0;
|
||||
% each tire under 60 measurement conditions
|
||||
for i=1:length(residuals_tire{tire})
|
||||
if not(isnan(residuals_tire{tire}(i)))
|
||||
num = num + 1;
|
||||
else
|
||||
residuals_tire{tire}(i) = 0;
|
||||
end
|
||||
end
|
||||
residuals_mean{tire} = sum(residuals_tire{tire})/num;
|
||||
end
|
||||
% median
|
||||
for tire=1:length(SAA)
|
||||
residuals_median{tire} = median(residuals_tire{tire});
|
||||
end
|
||||
% mode
|
||||
for tire=1:length(SAA)
|
||||
residuals_mode{tire} = mode(residuals_tire{tire});
|
||||
end
|
||||
|
||||
% plots
|
||||
idx = linspace(1,length(SAA),length(SAA));
|
||||
|
||||
figure()
|
||||
subplot(311)
|
||||
y = cell2mat(residuals_mean);
|
||||
plot(idx, y, "-*")
|
||||
title("Average Absolute Residuials")
|
||||
xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
grid on
|
||||
xticks(idx)
|
||||
|
||||
|
||||
subplot(312)
|
||||
y = cell2mat(residuals_median);
|
||||
plot(idx, y, "-o")
|
||||
title("Median of the Absolute Residuials")
|
||||
xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
|
||||
|
||||
subplot(313)
|
||||
y = cell2mat(residuals_mode);
|
||||
plot(idx, y, "-o")
|
||||
title("Mode of the Absolute Residuials")
|
||||
xlabel("Order of the tires(8 is our traget tire)")
|
||||
ylabel("in 1")
|
||||
xticks(idx)
|
||||
grid on
|
||||
sgtitle("MZ")
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user