Hello,I’m doing project on current controller Model Predictive based PV system.When I’m running my simulation,I get the following error:
An error occurred while running the simulation and the simulation was terminated
Caused by:
Simulink cannot solve the algebraic loop containing ‘power_PVarray_grid_avgO/PV Array/Diode Rsh/Product5’ at time 1.13725 using the LineSearch-based algorithm due to one of the following reasons: the model is ill-defined i.e., the system equations do not have a solution; or the nonlinear equation solver failed to converge due to numerical issues.
To rule out solver convergence as the cause of this error, follow either of the suggested actions. If the error persists in spite of the above changes, then the model is likely ill-defined and requires modification.
I checked the embedded block where it says the problem is, but my code seems fine. Is there a way I could solve or debug this problem? I do not have any idea how to go about it further in debugging?

Any suggestions on debugging this error would be highly appreciated.

Thanks!!Hello,I’m doing project on current controller Model Predictive based PV system.When I’m running my simulation,I get the following error:
An error occurred while running the simulation and the simulation was terminated
Caused by:
Simulink cannot solve the algebraic loop containing ‘power_PVarray_grid_avgO/PV Array/Diode Rsh/Product5’ at time 1.13725 using the LineSearch-based algorithm due to one of the following reasons: the model is ill-defined i.e., the system equations do not have a solution; or the nonlinear equation solver failed to converge due to numerical issues.
To rule out solver convergence as the cause of this error, follow either of the suggested actions. If the error persists in spite of the above changes, then the model is likely ill-defined and requires modification.
I checked the embedded block where it says the problem is, but my code seems fine. Is there a way I could solve or debug this problem? I do not have any idea how to go about it further in debugging?

Any suggestions on debugging this error would be highly appreciated.

Thanks!! Hello,I’m doing project on current controller Model Predictive based PV system.When I’m running my simulation,I get the following error:
An error occurred while running the simulation and the simulation was terminated
Caused by:
Simulink cannot solve the algebraic loop containing ‘power_PVarray_grid_avgO/PV Array/Diode Rsh/Product5’ at time 1.13725 using the LineSearch-based algorithm due to one of the following reasons: the model is ill-defined i.e., the system equations do not have a solution; or the nonlinear equation solver failed to converge due to numerical issues.
To rule out solver convergence as the cause of this error, follow either of the suggested actions. If the error persists in spite of the above changes, then the model is likely ill-defined and requires modification.
I checked the embedded block where it says the problem is, but my code seems fine. Is there a way I could solve or debug this problem? I do not have any idea how to go about it further in debugging?

Any suggestions on debugging this error would be highly appreciated.

Thanks!! muthappa MATLAB Answers — New Questions

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Hello I have the following Half-Bridge MMC block <https://www.mathworks.com/help/physmod/sps/powersys/ref/halfbridgemmc.html> How can i introduce open or short circuit fault in upper/lower IGBT to the above Half-Bridge MMC block? Please suggest me ThanksHello I have the following Half-Bridge MMC block <https://www.mathworks.com/help/physmod/sps/powersys/ref/halfbridgemmc.html> How can i introduce open or short circuit fault in upper/lower IGBT to the above Half-Bridge MMC block? Please suggest me Thanks Hello I have the following Half-Bridge MMC block <https://www.mathworks.com/help/physmod/sps/powersys/ref/halfbridgemmc.html> How can i introduce open or short circuit fault in upper/lower IGBT to the above Half-Bridge MMC block? Please suggest me Thanks mmc, mmc faults, mmc-hvdc MATLAB Answers — New Questions

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Write a MATLAB script that calculates the average of the values in an input vector. However, your script should exclude the maximum and minimum values from calculations. Assume that the values in the vector are unique.Write a MATLAB script that calculates the average of the values in an input vector. However, your script should exclude the maximum and minimum values from calculations. Assume that the values in the vector are unique. Write a MATLAB script that calculates the average of the values in an input vector. However, your script should exclude the maximum and minimum values from calculations. Assume that the values in the vector are unique. matlab MATLAB Answers — New Questions

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How can i do one of the two suggestion solutions in this error message?How can i do one of the two suggestion solutions in this error message? How can i do one of the two suggestion solutions in this error message? simulink MATLAB Answers — New Questions

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0000 00 00 MATLAB Answers — New Questions

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I would like to read in the numeric data below into 3 different arrays:
0 0.2 0.5 0.8 into "a_on_t"
4 10 into "Ri_on_t" and
2 5 10 into "2c_on_a"
I code just hard code these in, but it would be better to read them from a file. I was thinking of constructing the file like so:
% Header info describing file contents
% Rows correspond to:
% a / t
% Ri / t
% 2c / a
0 0.2 0.5 0.8
4 10
2 5 10

or, alternatively:
% Header info describing file contents
a_on_t 0 0.2 0.5 0.8
Ri_on_t 4 10
2c_on_a 2 5 10

I would like to be able to extract the names of the arrays in which to store the data from the file and, of course, to extract the numbers from the file. As I am using R2018a I don’t have access to the table reading functions. I have tried putting the data into a cell using textscan, but I just end up with a list (or 1D array) of numbers. I definitely need the numbers, I could hard code the names of the arrays for now.
fgetl might be a possibility, but then there is the difficulty of extracting the data from a cell and converting characters to numbers.
Am I missing something obvious? This seems much more difficult than it should be.
Thanks!I would like to read in the numeric data below into 3 different arrays:
0 0.2 0.5 0.8 into "a_on_t"
4 10 into "Ri_on_t" and
2 5 10 into "2c_on_a"
I code just hard code these in, but it would be better to read them from a file. I was thinking of constructing the file like so:
% Header info describing file contents
% Rows correspond to:
% a / t
% Ri / t
% 2c / a
0 0.2 0.5 0.8
4 10
2 5 10

or, alternatively:
% Header info describing file contents
a_on_t 0 0.2 0.5 0.8
Ri_on_t 4 10
2c_on_a 2 5 10

I would like to be able to extract the names of the arrays in which to store the data from the file and, of course, to extract the numbers from the file. As I am using R2018a I don’t have access to the table reading functions. I have tried putting the data into a cell using textscan, but I just end up with a list (or 1D array) of numbers. I definitely need the numbers, I could hard code the names of the arrays for now.
fgetl might be a possibility, but then there is the difficulty of extracting the data from a cell and converting characters to numbers.
Am I missing something obvious? This seems much more difficult than it should be.
Thanks! I would like to read in the numeric data below into 3 different arrays:
0 0.2 0.5 0.8 into "a_on_t"
4 10 into "Ri_on_t" and
2 5 10 into "2c_on_a"
I code just hard code these in, but it would be better to read them from a file. I was thinking of constructing the file like so:
% Header info describing file contents
% Rows correspond to:
% a / t
% Ri / t
% 2c / a
0 0.2 0.5 0.8
4 10
2 5 10

or, alternatively:
% Header info describing file contents
a_on_t 0 0.2 0.5 0.8
Ri_on_t 4 10
2c_on_a 2 5 10

I would like to be able to extract the names of the arrays in which to store the data from the file and, of course, to extract the numbers from the file. As I am using R2018a I don’t have access to the table reading functions. I have tried putting the data into a cell using textscan, but I just end up with a list (or 1D array) of numbers. I definitely need the numbers, I could hard code the names of the arrays for now.
fgetl might be a possibility, but then there is the difficulty of extracting the data from a cell and converting characters to numbers.
Am I missing something obvious? This seems much more difficult than it should be.
Thanks! read text file, variable length data, mixed data types MATLAB Answers — New Questions

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I would like to read in the numeric data below into 3 different arrays:
0 0.2 0.5 0.8 into "a_on_t"
4 10 into "Ri_on_t" and
2 5 10 into "2c_on_a"
I code just hard code these in, but it would be better to read them from a file. I was thinking of constructing the file like so:
% Header info describing file contents
% Rows correspond to:
% a / t
% Ri / t
% 2c / a
0 0.2 0.5 0.8
4 10
2 5 10

or, alternatively:
% Header info describing file contents
a_on_t 0 0.2 0.5 0.8
Ri_on_t 4 10
2c_on_a 2 5 10

I would like to be able to extract the names of the arrays in which to store the data from the file and, of course, to extract the numbers from the file. As I am using R2018a I don’t have access to the table reading functions. I have tried putting the data into a cell using textscan, but I just end up with a list (or 1D array) of numbers. I definitely need the numbers, I could hard code the names of the arrays for now.
fgetl might be a possibility, but then there is the difficulty of extracting the data from a cell and converting characters to numbers.
Am I missing something obvious? This seems much more difficult than it should be.
Thanks!I would like to read in the numeric data below into 3 different arrays:
0 0.2 0.5 0.8 into "a_on_t"
4 10 into "Ri_on_t" and
2 5 10 into "2c_on_a"
I code just hard code these in, but it would be better to read them from a file. I was thinking of constructing the file like so:
% Header info describing file contents
% Rows correspond to:
% a / t
% Ri / t
% 2c / a
0 0.2 0.5 0.8
4 10
2 5 10

or, alternatively:
% Header info describing file contents
a_on_t 0 0.2 0.5 0.8
Ri_on_t 4 10
2c_on_a 2 5 10

I would like to be able to extract the names of the arrays in which to store the data from the file and, of course, to extract the numbers from the file. As I am using R2018a I don’t have access to the table reading functions. I have tried putting the data into a cell using textscan, but I just end up with a list (or 1D array) of numbers. I definitely need the numbers, I could hard code the names of the arrays for now.
fgetl might be a possibility, but then there is the difficulty of extracting the data from a cell and converting characters to numbers.
Am I missing something obvious? This seems much more difficult than it should be.
Thanks! I would like to read in the numeric data below into 3 different arrays:
0 0.2 0.5 0.8 into "a_on_t"
4 10 into "Ri_on_t" and
2 5 10 into "2c_on_a"
I code just hard code these in, but it would be better to read them from a file. I was thinking of constructing the file like so:
% Header info describing file contents
% Rows correspond to:
% a / t
% Ri / t
% 2c / a
0 0.2 0.5 0.8
4 10
2 5 10

or, alternatively:
% Header info describing file contents
a_on_t 0 0.2 0.5 0.8
Ri_on_t 4 10
2c_on_a 2 5 10

I would like to be able to extract the names of the arrays in which to store the data from the file and, of course, to extract the numbers from the file. As I am using R2018a I don’t have access to the table reading functions. I have tried putting the data into a cell using textscan, but I just end up with a list (or 1D array) of numbers. I definitely need the numbers, I could hard code the names of the arrays for now.
fgetl might be a possibility, but then there is the difficulty of extracting the data from a cell and converting characters to numbers.
Am I missing something obvious? This seems much more difficult than it should be.
Thanks! read text file, variable length data, mixed data types MATLAB Answers — New Questions

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I want to plot numerical data with x, y, and z vectors, where x and y are the coordinates with values specified in z. The continuous relationship "z = f(x, y)" is unknown since the data is discrete. How do I produce a 2D contour plot of this data within the boundary of the X-Y plane specified by vectors x and y?I want to plot numerical data with x, y, and z vectors, where x and y are the coordinates with values specified in z. The continuous relationship "z = f(x, y)" is unknown since the data is discrete. How do I produce a 2D contour plot of this data within the boundary of the X-Y plane specified by vectors x and y? I want to plot numerical data with x, y, and z vectors, where x and y are the coordinates with values specified in z. The continuous relationship "z = f(x, y)" is unknown since the data is discrete. How do I produce a 2D contour plot of this data within the boundary of the X-Y plane specified by vectors x and y? scatter, 3d, plot, surf, surface, scatterplot, points, datapoints, contour, interpolate, extrapolate, distort MATLAB Answers — New Questions

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Hi,
I’m working on rlowess smoothing and I was wondering why I observe output differences between smooth and smoothdata functions, despite the fact that they are supposed to be similar.
I wrote a small piece of code:
% Sample one-dimensional data
x = 1:100;
data = cos(2*pi*0.05*x+2*pi*rand) + 0.5*randn(1,100);

% Apply rlowess smoothing with smooth
smoothedData2 = smooth(data, 9, ‘rlowess’);
% Apply rlowess smoothing with smoothdata
smoothedData3 = smoothdata(data, ‘rlowess’, 9);

smoothedData2
smoothedData3

isequal(smoothedData2, smoothedData3)

% Plot the original and smoothed data
figure;
plot(x, data, ‘o’);
hold on;
plot(x, smoothedData2, ‘–‘);
plot(x, smoothedData3, ‘:’);
legend(‘Original Data’, ‘Smoothed Data 2’, ‘Smoothed Data 3’);
title(‘Comparison of Smoothing Methods’);

% Calculate the differences
diff2_3 = smoothedData2(:) – smoothedData3(:);

% Display the differences
disp(‘Difference between smoothedData2 and smoothedData3:’);
disp(diff2_3);
As you can see, the graph is similar for both cases, but the values are different.
I also tried to change the method to ‘lowess’, and the differences there are only on the first and last entries, so I’m guessing that the moving window isn’t calculated similarly in both cases (however, I can’t find a difference in the window calculation from the documentation here and here).
To sum up, my two questions are:
Is there a difference in window calculation between smooth and smoothdata for ‘lowess’ method
Apart from this difference, could there be another issue with the calculation of robust weights for example in ‘rlowess’ method.
Thank you!Hi,
I’m working on rlowess smoothing and I was wondering why I observe output differences between smooth and smoothdata functions, despite the fact that they are supposed to be similar.
I wrote a small piece of code:
% Sample one-dimensional data
x = 1:100;
data = cos(2*pi*0.05*x+2*pi*rand) + 0.5*randn(1,100);

% Apply rlowess smoothing with smooth
smoothedData2 = smooth(data, 9, ‘rlowess’);
% Apply rlowess smoothing with smoothdata
smoothedData3 = smoothdata(data, ‘rlowess’, 9);

smoothedData2
smoothedData3

isequal(smoothedData2, smoothedData3)

% Plot the original and smoothed data
figure;
plot(x, data, ‘o’);
hold on;
plot(x, smoothedData2, ‘–‘);
plot(x, smoothedData3, ‘:’);
legend(‘Original Data’, ‘Smoothed Data 2’, ‘Smoothed Data 3’);
title(‘Comparison of Smoothing Methods’);

% Calculate the differences
diff2_3 = smoothedData2(:) – smoothedData3(:);

% Display the differences
disp(‘Difference between smoothedData2 and smoothedData3:’);
disp(diff2_3);
As you can see, the graph is similar for both cases, but the values are different.
I also tried to change the method to ‘lowess’, and the differences there are only on the first and last entries, so I’m guessing that the moving window isn’t calculated similarly in both cases (however, I can’t find a difference in the window calculation from the documentation here and here).
To sum up, my two questions are:
Is there a difference in window calculation between smooth and smoothdata for ‘lowess’ method
Apart from this difference, could there be another issue with the calculation of robust weights for example in ‘rlowess’ method.
Thank you! Hi,
I’m working on rlowess smoothing and I was wondering why I observe output differences between smooth and smoothdata functions, despite the fact that they are supposed to be similar.
I wrote a small piece of code:
% Sample one-dimensional data
x = 1:100;
data = cos(2*pi*0.05*x+2*pi*rand) + 0.5*randn(1,100);

% Apply rlowess smoothing with smooth
smoothedData2 = smooth(data, 9, ‘rlowess’);
% Apply rlowess smoothing with smoothdata
smoothedData3 = smoothdata(data, ‘rlowess’, 9);

smoothedData2
smoothedData3

isequal(smoothedData2, smoothedData3)

% Plot the original and smoothed data
figure;
plot(x, data, ‘o’);
hold on;
plot(x, smoothedData2, ‘–‘);
plot(x, smoothedData3, ‘:’);
legend(‘Original Data’, ‘Smoothed Data 2’, ‘Smoothed Data 3’);
title(‘Comparison of Smoothing Methods’);

% Calculate the differences
diff2_3 = smoothedData2(:) – smoothedData3(:);

% Display the differences
disp(‘Difference between smoothedData2 and smoothedData3:’);
disp(diff2_3);
As you can see, the graph is similar for both cases, but the values are different.
I also tried to change the method to ‘lowess’, and the differences there are only on the first and last entries, so I’m guessing that the moving window isn’t calculated similarly in both cases (however, I can’t find a difference in the window calculation from the documentation here and here).
To sum up, my two questions are:
Is there a difference in window calculation between smooth and smoothdata for ‘lowess’ method
Apart from this difference, could there be another issue with the calculation of robust weights for example in ‘rlowess’ method.
Thank you! smooth, smoothdata MATLAB Answers — New Questions

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Hello, i am facing difficulties in translating the transfer function of the block diagram above into Matlab.
I do have the control systems toolbox.
for the system plant, I have
tf_1 = feedback(tf([1],[I_wh 0]),c_vis); % small loop with c_vis
tf_2 = series(tf([1/R],[L/R 1])*3/2*kT, tf_1) % series of tf_1 and motor tf
tf_system_plant = series(feedback(tf_2,ke),tf([J 0],1))
The upper two paths in the controller can be summarized as
tf_ctrl1 = parallel(tf(k_omega,[1 0]),tf(k_phi,[1 0 0]))
But I do not know how to include the feedback loop of the reaction torque and the feed forward component k_alpha.
Any help is appreciated!Hello, i am facing difficulties in translating the transfer function of the block diagram above into Matlab.
I do have the control systems toolbox.
for the system plant, I have
tf_1 = feedback(tf([1],[I_wh 0]),c_vis); % small loop with c_vis
tf_2 = series(tf([1/R],[L/R 1])*3/2*kT, tf_1) % series of tf_1 and motor tf
tf_system_plant = series(feedback(tf_2,ke),tf([J 0],1))
The upper two paths in the controller can be summarized as
tf_ctrl1 = parallel(tf(k_omega,[1 0]),tf(k_phi,[1 0 0]))
But I do not know how to include the feedback loop of the reaction torque and the feed forward component k_alpha.
Any help is appreciated! Hello, i am facing difficulties in translating the transfer function of the block diagram above into Matlab.
I do have the control systems toolbox.
for the system plant, I have
tf_1 = feedback(tf([1],[I_wh 0]),c_vis); % small loop with c_vis
tf_2 = series(tf([1/R],[L/R 1])*3/2*kT, tf_1) % series of tf_1 and motor tf
tf_system_plant = series(feedback(tf_2,ke),tf([J 0],1))
The upper two paths in the controller can be summarized as
tf_ctrl1 = parallel(tf(k_omega,[1 0]),tf(k_phi,[1 0 0]))
But I do not know how to include the feedback loop of the reaction torque and the feed forward component k_alpha.
Any help is appreciated! control, transfer function, blockdiagram, feedback loop, controller MATLAB Answers — New Questions

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