Hello, I have an array in a uitable that I want to save to a csv file as well as the column headings. It seems out of the write options available (writecell,writematrix, writetable) – it is only writetable that allows this
Writetable appears to work, but when I open the CSV file it hasn’t and I can’t understand why
This is my code:
T=app.UITable;
data=T.Data;
C=array2table(data); % Create table format
T.ColumnName
C.Properties.VariableNames=T.ColumnName;
C.Properties.Description=’Scan Profile’;
C = addprop(C,{‘ScanStart’,’ScanTime’},{‘table’,’table’});
C.Properties.CustomProperties.ScanStart = app.scannow;
C.Properties.CustomProperties.ScanTime = app.scantime;
C.Properties
% C.Properties.VariableNames
writetable(C,savepath);
ReportMessage(app,’ Data Saved Using Writetable’);
And in the command window I get this, indicating all is O.K
ans =

6×1 cell array

{‘Idx’ }
{‘YPos(mm)’}
{‘Sep1’ }
{‘Sep2’ }
{‘<Sep>’ }
{‘dpixel’ }

ans =

TableProperties with properties:

Description: ‘Surface Profile’
UserData: []
DimensionNames: {‘Row’ ‘Variables’}
VariableNames: {‘Idx’ ‘YPos(mm)’ ‘Sep1’ ‘Sep2’ ‘<Sep>’ ‘dpixel’}
VariableDescriptions: {}
VariableUnits: {}
VariableContinuity: []
RowNames: {}

Custom Properties (access using t.Properties.CustomProperties.<name>):
ScanStart: "29-Jan-2025 09:41:35"
ScanTime: ‘174.2796’

But then the file looks like this:

So no headings.
And When i also try to load via readtable – all of the description and custom propeerrties are not present
ans =

TableProperties with properties:

Description: ”
UserData: []
DimensionNames: {‘Row’ ‘Variables’}
VariableNames: {‘Var1’ ‘Var2’ ‘Var3’ ‘Var4’ ‘Var5’ ‘Var6’}
VariableDescriptions: {}
VariableUnits: {}
VariableContinuity: []
RowNames: {}
CustomProperties: No custom properties are set.
Use addprop and rmprop to modify CustomProperties.Hello, I have an array in a uitable that I want to save to a csv file as well as the column headings. It seems out of the write options available (writecell,writematrix, writetable) – it is only writetable that allows this
Writetable appears to work, but when I open the CSV file it hasn’t and I can’t understand why
This is my code:
T=app.UITable;
data=T.Data;
C=array2table(data); % Create table format
T.ColumnName
C.Properties.VariableNames=T.ColumnName;
C.Properties.Description=’Scan Profile’;
C = addprop(C,{‘ScanStart’,’ScanTime’},{‘table’,’table’});
C.Properties.CustomProperties.ScanStart = app.scannow;
C.Properties.CustomProperties.ScanTime = app.scantime;
C.Properties
% C.Properties.VariableNames
writetable(C,savepath);
ReportMessage(app,’ Data Saved Using Writetable’);
And in the command window I get this, indicating all is O.K
ans =

6×1 cell array

{‘Idx’ }
{‘YPos(mm)’}
{‘Sep1’ }
{‘Sep2’ }
{‘<Sep>’ }
{‘dpixel’ }

ans =

TableProperties with properties:

Description: ‘Surface Profile’
UserData: []
DimensionNames: {‘Row’ ‘Variables’}
VariableNames: {‘Idx’ ‘YPos(mm)’ ‘Sep1’ ‘Sep2’ ‘<Sep>’ ‘dpixel’}
VariableDescriptions: {}
VariableUnits: {}
VariableContinuity: []
RowNames: {}

Custom Properties (access using t.Properties.CustomProperties.<name>):
ScanStart: "29-Jan-2025 09:41:35"
ScanTime: ‘174.2796’

But then the file looks like this:

So no headings.
And When i also try to load via readtable – all of the description and custom propeerrties are not present
ans =

TableProperties with properties:

Description: ”
UserData: []
DimensionNames: {‘Row’ ‘Variables’}
VariableNames: {‘Var1’ ‘Var2’ ‘Var3’ ‘Var4’ ‘Var5’ ‘Var6’}
VariableDescriptions: {}
VariableUnits: {}
VariableContinuity: []
RowNames: {}
CustomProperties: No custom properties are set.
Use addprop and rmprop to modify CustomProperties. Hello, I have an array in a uitable that I want to save to a csv file as well as the column headings. It seems out of the write options available (writecell,writematrix, writetable) – it is only writetable that allows this
Writetable appears to work, but when I open the CSV file it hasn’t and I can’t understand why
This is my code:
T=app.UITable;
data=T.Data;
C=array2table(data); % Create table format
T.ColumnName
C.Properties.VariableNames=T.ColumnName;
C.Properties.Description=’Scan Profile’;
C = addprop(C,{‘ScanStart’,’ScanTime’},{‘table’,’table’});
C.Properties.CustomProperties.ScanStart = app.scannow;
C.Properties.CustomProperties.ScanTime = app.scantime;
C.Properties
% C.Properties.VariableNames
writetable(C,savepath);
ReportMessage(app,’ Data Saved Using Writetable’);
And in the command window I get this, indicating all is O.K
ans =

6×1 cell array

{‘Idx’ }
{‘YPos(mm)’}
{‘Sep1’ }
{‘Sep2’ }
{‘<Sep>’ }
{‘dpixel’ }

ans =

TableProperties with properties:

Description: ‘Surface Profile’
UserData: []
DimensionNames: {‘Row’ ‘Variables’}
VariableNames: {‘Idx’ ‘YPos(mm)’ ‘Sep1’ ‘Sep2’ ‘<Sep>’ ‘dpixel’}
VariableDescriptions: {}
VariableUnits: {}
VariableContinuity: []
RowNames: {}

Custom Properties (access using t.Properties.CustomProperties.<name>):
ScanStart: "29-Jan-2025 09:41:35"
ScanTime: ‘174.2796’

But then the file looks like this:

So no headings.
And When i also try to load via readtable – all of the description and custom propeerrties are not present
ans =

TableProperties with properties:

Description: ”
UserData: []
DimensionNames: {‘Row’ ‘Variables’}
VariableNames: {‘Var1’ ‘Var2’ ‘Var3’ ‘Var4’ ‘Var5’ ‘Var6’}
VariableDescriptions: {}
VariableUnits: {}
VariableContinuity: []
RowNames: {}
CustomProperties: No custom properties are set.
Use addprop and rmprop to modify CustomProperties. writetable, uitable MATLAB Answers — New Questions

​

Why my 2 legs inverter doesn’t output the expected voltage?
I expected the bridge voltage varying binary between 0 and Vbat when I want my motor turns in one sense.
Or -Vbat to 0 whent I want motor turns in the other sense.
instead of the bridge voltage varies from Vbat/2 to Vbat or fron -Vbat to -Vbat/2.
Someone can explain to me how can I fix this issue?Why my 2 legs inverter doesn’t output the expected voltage?
I expected the bridge voltage varying binary between 0 and Vbat when I want my motor turns in one sense.
Or -Vbat to 0 whent I want motor turns in the other sense.
instead of the bridge voltage varies from Vbat/2 to Vbat or fron -Vbat to -Vbat/2.
Someone can explain to me how can I fix this issue? Why my 2 legs inverter doesn’t output the expected voltage?
I expected the bridge voltage varying binary between 0 and Vbat when I want my motor turns in one sense.
Or -Vbat to 0 whent I want motor turns in the other sense.
instead of the bridge voltage varies from Vbat/2 to Vbat or fron -Vbat to -Vbat/2.
Someone can explain to me how can I fix this issue? motor control MATLAB Answers — New Questions

​

Hello, I’m struggling with fmincon, as I’m still a beginner. I have a Simulink model that simulates the behavior of an electric vehicle and a track specification (maximum speed in different sections, total length).
The model takes as input the throttle and brake pedal pressures (steering is not relevant in this case) and outputs various vehicle dynamics parameters such as speed, jerk, acceleration, and SoC.
My goal is to determine the optimal pedal usage to complete the track while maximizing the remaining SoC, using the results obtained from the model.
I wrote a MATLAB script for this, but the throttle and brake pedal vectors never change—they always remain the same as the initial values u0 that I provide.
Does anyone know what might be causing this issue?

My cost function is:
function [cost, c, ceq] = myCostAndConstraints(u, timeVec, steeringTS, w1, w2, w3, w4, w5, total_distance)
N = length(u)/2;
throttleProfile = u(1:N);
brakeProfile = u(N+1:end);

myThrottleTs = timeseries(throttleProfile, timeVec);
myBrakeTs = timeseries(brakeProfile, timeVec);

in = Simulink.SimulationInput(‘optimization_offline_model’);
in = in.setVariable(‘myThrottleTs’, myThrottleTs);
in = in.setVariable(‘myBrakeTs’, myBrakeTs);
in = in.setVariable(‘steeringWheelAngle_ts’, steeringTS);

try
simOut = sim(in);
catch ME
warning("Simulation error: %s" + ME.message);
cost = 1e6;
c = 1e5;
ceq = [];
return;
end

try
timeSim = simOut.tout;
speedData = simOut.v_z.Data;
SoCData = simOut.SoC.Data;
jerkData = simOut.j_z.Data;
distanceData = simOut.distance.Data;
catch ME
warning("Error extracting signals: " + ME.message);
cost = 1e6;
c = 1e5;
ceq = [];
return;
end

SoC_final = SoCData(end);
time_elapsed = timeSim(end);
distance_final = distanceData(end);

penalty = 0;

if any(SoCData < 0.2)
penalty = penalty + w1 * (0.2 – min(SoCData(SoCData<0.2)));
end

vLimHard = 41.5;
violV = speedData – vLimHard;
violV(violV<0) = 0;
if any(violV > 0)
penalty = penalty + w5 * sum(violV);
end

avgJerk = mean(jerkData);
maxJerk = max(abs(jerkData));
penalty = penalty + w3*(max(0, 0.2 – avgJerk))^2 + w3*(max(0, avgJerk – 0.7))^2;
if avgJerk > 0.6
penalty = penalty + w3*(avgJerk – 0.6);
end
if maxJerk > 0.9
penalty = penalty + w3*(maxJerk – 0.9);
end

cost = – w1*SoC_final + w2*(time_elapsed) + w4 * abs(total_distance – distance_final) + penalty;
disp("Cost function =" + cost);

vLimVec = getVelocityLimit(distanceData, vLimHard);
c = speedData – vLimVec;
ceq = throttleProfile .* brakeProfile;
endHello, I’m struggling with fmincon, as I’m still a beginner. I have a Simulink model that simulates the behavior of an electric vehicle and a track specification (maximum speed in different sections, total length).
The model takes as input the throttle and brake pedal pressures (steering is not relevant in this case) and outputs various vehicle dynamics parameters such as speed, jerk, acceleration, and SoC.
My goal is to determine the optimal pedal usage to complete the track while maximizing the remaining SoC, using the results obtained from the model.
I wrote a MATLAB script for this, but the throttle and brake pedal vectors never change—they always remain the same as the initial values u0 that I provide.
Does anyone know what might be causing this issue?

My cost function is:
function [cost, c, ceq] = myCostAndConstraints(u, timeVec, steeringTS, w1, w2, w3, w4, w5, total_distance)
N = length(u)/2;
throttleProfile = u(1:N);
brakeProfile = u(N+1:end);

myThrottleTs = timeseries(throttleProfile, timeVec);
myBrakeTs = timeseries(brakeProfile, timeVec);

in = Simulink.SimulationInput(‘optimization_offline_model’);
in = in.setVariable(‘myThrottleTs’, myThrottleTs);
in = in.setVariable(‘myBrakeTs’, myBrakeTs);
in = in.setVariable(‘steeringWheelAngle_ts’, steeringTS);

try
simOut = sim(in);
catch ME
warning("Simulation error: %s" + ME.message);
cost = 1e6;
c = 1e5;
ceq = [];
return;
end

try
timeSim = simOut.tout;
speedData = simOut.v_z.Data;
SoCData = simOut.SoC.Data;
jerkData = simOut.j_z.Data;
distanceData = simOut.distance.Data;
catch ME
warning("Error extracting signals: " + ME.message);
cost = 1e6;
c = 1e5;
ceq = [];
return;
end

SoC_final = SoCData(end);
time_elapsed = timeSim(end);
distance_final = distanceData(end);

penalty = 0;

if any(SoCData < 0.2)
penalty = penalty + w1 * (0.2 – min(SoCData(SoCData<0.2)));
end

vLimHard = 41.5;
violV = speedData – vLimHard;
violV(violV<0) = 0;
if any(violV > 0)
penalty = penalty + w5 * sum(violV);
end

avgJerk = mean(jerkData);
maxJerk = max(abs(jerkData));
penalty = penalty + w3*(max(0, 0.2 – avgJerk))^2 + w3*(max(0, avgJerk – 0.7))^2;
if avgJerk > 0.6
penalty = penalty + w3*(avgJerk – 0.6);
end
if maxJerk > 0.9
penalty = penalty + w3*(maxJerk – 0.9);
end

cost = – w1*SoC_final + w2*(time_elapsed) + w4 * abs(total_distance – distance_final) + penalty;
disp("Cost function =" + cost);

vLimVec = getVelocityLimit(distanceData, vLimHard);
c = speedData – vLimVec;
ceq = throttleProfile .* brakeProfile;
end Hello, I’m struggling with fmincon, as I’m still a beginner. I have a Simulink model that simulates the behavior of an electric vehicle and a track specification (maximum speed in different sections, total length).
The model takes as input the throttle and brake pedal pressures (steering is not relevant in this case) and outputs various vehicle dynamics parameters such as speed, jerk, acceleration, and SoC.
My goal is to determine the optimal pedal usage to complete the track while maximizing the remaining SoC, using the results obtained from the model.
I wrote a MATLAB script for this, but the throttle and brake pedal vectors never change—they always remain the same as the initial values u0 that I provide.
Does anyone know what might be causing this issue?

My cost function is:
function [cost, c, ceq] = myCostAndConstraints(u, timeVec, steeringTS, w1, w2, w3, w4, w5, total_distance)
N = length(u)/2;
throttleProfile = u(1:N);
brakeProfile = u(N+1:end);

myThrottleTs = timeseries(throttleProfile, timeVec);
myBrakeTs = timeseries(brakeProfile, timeVec);

in = Simulink.SimulationInput(‘optimization_offline_model’);
in = in.setVariable(‘myThrottleTs’, myThrottleTs);
in = in.setVariable(‘myBrakeTs’, myBrakeTs);
in = in.setVariable(‘steeringWheelAngle_ts’, steeringTS);

try
simOut = sim(in);
catch ME
warning("Simulation error: %s" + ME.message);
cost = 1e6;
c = 1e5;
ceq = [];
return;
end

try
timeSim = simOut.tout;
speedData = simOut.v_z.Data;
SoCData = simOut.SoC.Data;
jerkData = simOut.j_z.Data;
distanceData = simOut.distance.Data;
catch ME
warning("Error extracting signals: " + ME.message);
cost = 1e6;
c = 1e5;
ceq = [];
return;
end

SoC_final = SoCData(end);
time_elapsed = timeSim(end);
distance_final = distanceData(end);

penalty = 0;

if any(SoCData < 0.2)
penalty = penalty + w1 * (0.2 – min(SoCData(SoCData<0.2)));
end

vLimHard = 41.5;
violV = speedData – vLimHard;
violV(violV<0) = 0;
if any(violV > 0)
penalty = penalty + w5 * sum(violV);
end

avgJerk = mean(jerkData);
maxJerk = max(abs(jerkData));
penalty = penalty + w3*(max(0, 0.2 – avgJerk))^2 + w3*(max(0, avgJerk – 0.7))^2;
if avgJerk > 0.6
penalty = penalty + w3*(avgJerk – 0.6);
end
if maxJerk > 0.9
penalty = penalty + w3*(maxJerk – 0.9);
end

cost = – w1*SoC_final + w2*(time_elapsed) + w4 * abs(total_distance – distance_final) + penalty;
disp("Cost function =" + cost);

vLimVec = getVelocityLimit(distanceData, vLimHard);
c = speedData – vLimVec;
ceq = throttleProfile .* brakeProfile;
end fmincon, simulink MATLAB Answers — New Questions

​

Hi all,
I am profiling the performance of the MATLAB Deep Learning HDL Toolbox for LSTM-based models.
When estimating the processor’s performance with the estimatePerformance function, I couldn’t find a clear definition of the term "Frame" in the context of recurrent models.
Does it refer to a single element within the sequence to be processed (i.e. a timestep), or does it represent the entire sequence?
Since changing the number of timesteps in the model doesn’t affect the processing time estimate for 1 frame, I am assuming it refers to a single element of the sequence. However, I would appreciate confirmation or clarification on this.
Thanks in advance for your help!Hi all,
I am profiling the performance of the MATLAB Deep Learning HDL Toolbox for LSTM-based models.
When estimating the processor’s performance with the estimatePerformance function, I couldn’t find a clear definition of the term "Frame" in the context of recurrent models.
Does it refer to a single element within the sequence to be processed (i.e. a timestep), or does it represent the entire sequence?
Since changing the number of timesteps in the model doesn’t affect the processing time estimate for 1 frame, I am assuming it refers to a single element of the sequence. However, I would appreciate confirmation or clarification on this.
Thanks in advance for your help! Hi all,
I am profiling the performance of the MATLAB Deep Learning HDL Toolbox for LSTM-based models.
When estimating the processor’s performance with the estimatePerformance function, I couldn’t find a clear definition of the term "Frame" in the context of recurrent models.
Does it refer to a single element within the sequence to be processed (i.e. a timestep), or does it represent the entire sequence?
Since changing the number of timesteps in the model doesn’t affect the processing time estimate for 1 frame, I am assuming it refers to a single element of the sequence. However, I would appreciate confirmation or clarification on this.
Thanks in advance for your help! lstm, deep learning hdl toolbox MATLAB Answers — New Questions

​

I want to analyse the transient stability of a simple system over a long period of time. I do this because my ultimate goal is to run the simulation with real-time simulator for education purpose.

My model is really simple, one PV bus synchronous generator connected to a infinite swing bus via a bunch of inductance and resistance in serie and parallel. I simulate a fault at 0.5 sec and since i am simulating dampingless generator i expect my system to oscillate for the infinity

But.. When i run my model in phasor mode it run well and it do not diverge. But when i run it in discret mode with 20 us (as it will be on my real time simulator) the mecanical angle after the fault always increase until it reach instability.

btw i add up some extra load to help numerical stability as suggested in the help panel of the synchronous generator.I want to analyse the transient stability of a simple system over a long period of time. I do this because my ultimate goal is to run the simulation with real-time simulator for education purpose.

My model is really simple, one PV bus synchronous generator connected to a infinite swing bus via a bunch of inductance and resistance in serie and parallel. I simulate a fault at 0.5 sec and since i am simulating dampingless generator i expect my system to oscillate for the infinity

But.. When i run my model in phasor mode it run well and it do not diverge. But when i run it in discret mode with 20 us (as it will be on my real time simulator) the mecanical angle after the fault always increase until it reach instability.

btw i add up some extra load to help numerical stability as suggested in the help panel of the synchronous generator. I want to analyse the transient stability of a simple system over a long period of time. I do this because my ultimate goal is to run the simulation with real-time simulator for education purpose.

My model is really simple, one PV bus synchronous generator connected to a infinite swing bus via a bunch of inductance and resistance in serie and parallel. I simulate a fault at 0.5 sec and since i am simulating dampingless generator i expect my system to oscillate for the infinity

But.. When i run my model in phasor mode it run well and it do not diverge. But when i run it in discret mode with 20 us (as it will be on my real time simulator) the mecanical angle after the fault always increase until it reach instability.

btw i add up some extra load to help numerical stability as suggested in the help panel of the synchronous generator. simulink, simpowersystems, simulation MATLAB Answers — New Questions

​

I am trying to select peak start and end points and calculate area under the curve for several regions of interest. Is there an easy way to do it quickly on the figure itself? A sample image is attached with selected (X1,Y1) and (X2,Y2) points as an example.I am trying to select peak start and end points and calculate area under the curve for several regions of interest. Is there an easy way to do it quickly on the figure itself? A sample image is attached with selected (X1,Y1) and (X2,Y2) points as an example. I am trying to select peak start and end points and calculate area under the curve for several regions of interest. Is there an easy way to do it quickly on the figure itself? A sample image is attached with selected (X1,Y1) and (X2,Y2) points as an example. figure, image processing, matlab MATLAB Answers — New Questions

​

Not sure what I am doing wrong:
syms x
n = 0:1:100;
t = 0:0.1:50;
lamda = (n .* pi);
u = (100 .* cosd(lamda .* x) + (sind(lamda .* x)) .* (exp((-lamda .^ 2) .* t) ;

fplot(t,u)
grid on

Thank youNot sure what I am doing wrong:
syms x
n = 0:1:100;
t = 0:0.1:50;
lamda = (n .* pi);
u = (100 .* cosd(lamda .* x) + (sind(lamda .* x)) .* (exp((-lamda .^ 2) .* t) ;

fplot(t,u)
grid on

Thank you Not sure what I am doing wrong:
syms x
n = 0:1:100;
t = 0:0.1:50;
lamda = (n .* pi);
u = (100 .* cosd(lamda .* x) + (sind(lamda .* x)) .* (exp((-lamda .^ 2) .* t) ;

fplot(t,u)
grid on

Thank you matrix dimensions must agree MATLAB Answers — New Questions

​

I’m trying to speed up a recursive calculation that is currently using a for-loop. A minimum working example is below. There are two computations in the recursion: "pn0" and "fact". I have figured out how to do fact out side the loop, but pn0 is giving me trouble. Any insight into how to remove the loop and/or speed this up would be greatly appreaciated! I have tried building up a separate function and using arrayfun, but that is calling a loop under the hood, so I don’t think it would be faster.
% define some constants
m = 0:10;
y = cos(pi/4);

% compute fact without a loop
fact = cumsum([1 ones(1,size(m,2)).*2]);
fact = fact(1:end-1);

% Generate the correct pn0 array
pn0 = 1; % initial value
factdum = 1; % initial value
pn_out = [];
fact_out = [];
for mm = 0:10
pn0 = -pn0*factdum*y; % do the computation <– this is the computation I’m trying to pull out of the loop
pn_out = [pn_out,pn0]; % store the pn0 array output
fact_out = [fact_out,factdum]; % store the fact array output
factdum = factdum + 2; % compute fact inside the loop to make sure it was done correctly outside the loop.
endI’m trying to speed up a recursive calculation that is currently using a for-loop. A minimum working example is below. There are two computations in the recursion: "pn0" and "fact". I have figured out how to do fact out side the loop, but pn0 is giving me trouble. Any insight into how to remove the loop and/or speed this up would be greatly appreaciated! I have tried building up a separate function and using arrayfun, but that is calling a loop under the hood, so I don’t think it would be faster.
% define some constants
m = 0:10;
y = cos(pi/4);

% compute fact without a loop
fact = cumsum([1 ones(1,size(m,2)).*2]);
fact = fact(1:end-1);

% Generate the correct pn0 array
pn0 = 1; % initial value
factdum = 1; % initial value
pn_out = [];
fact_out = [];
for mm = 0:10
pn0 = -pn0*factdum*y; % do the computation <– this is the computation I’m trying to pull out of the loop
pn_out = [pn_out,pn0]; % store the pn0 array output
fact_out = [fact_out,factdum]; % store the fact array output
factdum = factdum + 2; % compute fact inside the loop to make sure it was done correctly outside the loop.
end I’m trying to speed up a recursive calculation that is currently using a for-loop. A minimum working example is below. There are two computations in the recursion: "pn0" and "fact". I have figured out how to do fact out side the loop, but pn0 is giving me trouble. Any insight into how to remove the loop and/or speed this up would be greatly appreaciated! I have tried building up a separate function and using arrayfun, but that is calling a loop under the hood, so I don’t think it would be faster.
% define some constants
m = 0:10;
y = cos(pi/4);

% compute fact without a loop
fact = cumsum([1 ones(1,size(m,2)).*2]);
fact = fact(1:end-1);

% Generate the correct pn0 array
pn0 = 1; % initial value
factdum = 1; % initial value
pn_out = [];
fact_out = [];
for mm = 0:10
pn0 = -pn0*factdum*y; % do the computation <– this is the computation I’m trying to pull out of the loop
pn_out = [pn_out,pn0]; % store the pn0 array output
fact_out = [fact_out,factdum]; % store the fact array output
factdum = factdum + 2; % compute fact inside the loop to make sure it was done correctly outside the loop.
end recursion, eliminate for loop MATLAB Answers — New Questions

​

Hi I used to program on Simulink using the OPC DA Config, OPC Write/Read blocks and till version 2017 it worked just fine. Now I implemented it on 2024b version and by the time I want to test it there’s this error that says:
Error:The corresponding ‘opcslwrite.tlc’ file for the MATLAB S-function ‘opcslwrite’ in block ‘hardprog/OPC Write’ must be located in the current working directory, the MATLAB S-function directory ‘C:Program FilesMATLABR2024btoolboxicommopcopcblksopcblks’, or the directory ‘C:Program FilesMATLABR2024btoolboxicommopcopcblksopcblkstlc_c’

I can configure the OPC DA Config Real-Time block, but when I try to add a tag there’s a sound of error and the Browse Name Space shows up but I can’t click in OK nor Cancel it remains there and then I can’t do a thing.

Thank you!Hi I used to program on Simulink using the OPC DA Config, OPC Write/Read blocks and till version 2017 it worked just fine. Now I implemented it on 2024b version and by the time I want to test it there’s this error that says:
Error:The corresponding ‘opcslwrite.tlc’ file for the MATLAB S-function ‘opcslwrite’ in block ‘hardprog/OPC Write’ must be located in the current working directory, the MATLAB S-function directory ‘C:Program FilesMATLABR2024btoolboxicommopcopcblksopcblks’, or the directory ‘C:Program FilesMATLABR2024btoolboxicommopcopcblksopcblkstlc_c’

I can configure the OPC DA Config Real-Time block, but when I try to add a tag there’s a sound of error and the Browse Name Space shows up but I can’t click in OK nor Cancel it remains there and then I can’t do a thing.

Thank you! Hi I used to program on Simulink using the OPC DA Config, OPC Write/Read blocks and till version 2017 it worked just fine. Now I implemented it on 2024b version and by the time I want to test it there’s this error that says:
Error:The corresponding ‘opcslwrite.tlc’ file for the MATLAB S-function ‘opcslwrite’ in block ‘hardprog/OPC Write’ must be located in the current working directory, the MATLAB S-function directory ‘C:Program FilesMATLABR2024btoolboxicommopcopcblksopcblks’, or the directory ‘C:Program FilesMATLABR2024btoolboxicommopcopcblksopcblkstlc_c’

I can configure the OPC DA Config Real-Time block, but when I try to add a tag there’s a sound of error and the Browse Name Space shows up but I can’t click in OK nor Cancel it remains there and then I can’t do a thing.

Thank you! opc, simulink, tlc MATLAB Answers — New Questions

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Fixed Ended Beam with Point Load Example
%Data
E = 2.1E5; % N/mm^2
L = 6000; % length in mm
I = 78E6; % mm^4
Elemental Stiffness Matrix
Const = (E*I)/(L^3);
%Since we only have one element this is the overall
%stiffness matrix
KE1 = [12 6*L -12 6*L;
6*L 4*L^2 -6*L 2*L^2;
-12 -6*L 12 -6*L;
6*L 2*L^2 -6*L 4*L^2];
KE1 = Const*KE1;
Solution
K = KE1;
KT = K;
KT(:,1) = 0;
KT(1,:) = 0;
KT(1,1) = 1;

KT(:,2) = 0;
KT(2,:) = 0;
KT(2,2) = 1;

KT(:,4) = 0;
KT(4,:) = 0;
KT(4,4) = 1;

KT(:,5) = 0;
KT(5,:) = 0;
KT(5,5) = 1;

KT(:,6) = 0;
KT(6,:) = 0;
KT(6,6) = 1;

KT
FT = [0;0; -50;0; 0;0];

d = inv(KT)*FT

F = K*dFixed Ended Beam with Point Load Example
%Data
E = 2.1E5; % N/mm^2
L = 6000; % length in mm
I = 78E6; % mm^4
Elemental Stiffness Matrix
Const = (E*I)/(L^3);
%Since we only have one element this is the overall
%stiffness matrix
KE1 = [12 6*L -12 6*L;
6*L 4*L^2 -6*L 2*L^2;
-12 -6*L 12 -6*L;
6*L 2*L^2 -6*L 4*L^2];
KE1 = Const*KE1;
Solution
K = KE1;
KT = K;
KT(:,1) = 0;
KT(1,:) = 0;
KT(1,1) = 1;

KT(:,2) = 0;
KT(2,:) = 0;
KT(2,2) = 1;

KT(:,4) = 0;
KT(4,:) = 0;
KT(4,4) = 1;

KT(:,5) = 0;
KT(5,:) = 0;
KT(5,5) = 1;

KT(:,6) = 0;
KT(6,:) = 0;
KT(6,6) = 1;

KT
FT = [0;0; -50;0; 0;0];

d = inv(KT)*FT

F = K*d Fixed Ended Beam with Point Load Example
%Data
E = 2.1E5; % N/mm^2
L = 6000; % length in mm
I = 78E6; % mm^4
Elemental Stiffness Matrix
Const = (E*I)/(L^3);
%Since we only have one element this is the overall
%stiffness matrix
KE1 = [12 6*L -12 6*L;
6*L 4*L^2 -6*L 2*L^2;
-12 -6*L 12 -6*L;
6*L 2*L^2 -6*L 4*L^2];
KE1 = Const*KE1;
Solution
K = KE1;
KT = K;
KT(:,1) = 0;
KT(1,:) = 0;
KT(1,1) = 1;

KT(:,2) = 0;
KT(2,:) = 0;
KT(2,2) = 1;

KT(:,4) = 0;
KT(4,:) = 0;
KT(4,4) = 1;

KT(:,5) = 0;
KT(5,:) = 0;
KT(5,5) = 1;

KT(:,6) = 0;
KT(6,:) = 0;
KT(6,6) = 1;

KT
FT = [0;0; -50;0; 0;0];

d = inv(KT)*FT

F = K*d #matlab, #finiteelementanalysis, #fixedendedbeam, #pointload MATLAB Answers — New Questions

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