I’m attempting to run the example MODBUS RS485 Communication Between Client and Server Using Arduino Board with two Arduino Uno units. These units have only one dedicated serial port on pins 0 and 1. When I go to Monitor and Tune the Client Model, I get an error message for all 6 MODBUS blocks in the model that reads:
Error evaluating ‘InitFcn’ callback of codertarget.arduinobase.internal.arduino_ModbusRS485MasterRead block (mask) ‘arduino_modbus_client/Modbus RS485 Client Read’.
Callback string is ‘codertarget.arduinobase.conflictcheck.validateandregisterBlocks(gcbh);’
Caused by:
The SerialPin_1 ‘1’ being used by ‘arduino_modbus_client/Modbus RS485 Client Read’ is currently in use by ‘Monitor and tune over XCP on Serial’. To resolve the conflict, change the value of SerialPin_1 in ‘arduino_modbus_client/Modbus RS485 Client Read’ to an alternate valid value.

It appears that the only port the Arduino Uno has is in use by the USB interface with my desktop computer. I know that ArduinoIDE has the SoftwareSerial library addon that is supposed to allow you to assign pins to create a separate serial port, but I don’t know if a similar operation is possible in Simulink. Or perhaps I can create the new port in ArduinoIDE for use in the Simulink model. Thank you.I’m attempting to run the example MODBUS RS485 Communication Between Client and Server Using Arduino Board with two Arduino Uno units. These units have only one dedicated serial port on pins 0 and 1. When I go to Monitor and Tune the Client Model, I get an error message for all 6 MODBUS blocks in the model that reads:
Error evaluating ‘InitFcn’ callback of codertarget.arduinobase.internal.arduino_ModbusRS485MasterRead block (mask) ‘arduino_modbus_client/Modbus RS485 Client Read’.
Callback string is ‘codertarget.arduinobase.conflictcheck.validateandregisterBlocks(gcbh);’
Caused by:
The SerialPin_1 ‘1’ being used by ‘arduino_modbus_client/Modbus RS485 Client Read’ is currently in use by ‘Monitor and tune over XCP on Serial’. To resolve the conflict, change the value of SerialPin_1 in ‘arduino_modbus_client/Modbus RS485 Client Read’ to an alternate valid value.

It appears that the only port the Arduino Uno has is in use by the USB interface with my desktop computer. I know that ArduinoIDE has the SoftwareSerial library addon that is supposed to allow you to assign pins to create a separate serial port, but I don’t know if a similar operation is possible in Simulink. Or perhaps I can create the new port in ArduinoIDE for use in the Simulink model. Thank you. I’m attempting to run the example MODBUS RS485 Communication Between Client and Server Using Arduino Board with two Arduino Uno units. These units have only one dedicated serial port on pins 0 and 1. When I go to Monitor and Tune the Client Model, I get an error message for all 6 MODBUS blocks in the model that reads:
Error evaluating ‘InitFcn’ callback of codertarget.arduinobase.internal.arduino_ModbusRS485MasterRead block (mask) ‘arduino_modbus_client/Modbus RS485 Client Read’.
Callback string is ‘codertarget.arduinobase.conflictcheck.validateandregisterBlocks(gcbh);’
Caused by:
The SerialPin_1 ‘1’ being used by ‘arduino_modbus_client/Modbus RS485 Client Read’ is currently in use by ‘Monitor and tune over XCP on Serial’. To resolve the conflict, change the value of SerialPin_1 in ‘arduino_modbus_client/Modbus RS485 Client Read’ to an alternate valid value.

It appears that the only port the Arduino Uno has is in use by the USB interface with my desktop computer. I know that ArduinoIDE has the SoftwareSerial library addon that is supposed to allow you to assign pins to create a separate serial port, but I don’t know if a similar operation is possible in Simulink. Or perhaps I can create the new port in ArduinoIDE for use in the Simulink model. Thank you. arduino, serial, communication MATLAB Answers — New Questions

​

I am trying to get an input from a serial input in Simulink Desktop Real-Time.

To do so I have a "Serial Configuration" block and a "Serial Receive" block which is connected to a "To Workspace" block. (see screenshot below)

I am able to run the model in "Conneceted IO Mode". However, if I change the mode to "Kernel Mode", the model does not work anymore. Simulink states:
Serial Failed Code genreation inofrmation file does not exist.
0 of 1 models built (0 models already up to date)
Build duration: 0h 0m 19.781s
Error(s) encountered while building "Serial_Read"
Is it possible to use serial inputs in "Kernel Mode"? If yes, how can I avoid getting this error?I am trying to get an input from a serial input in Simulink Desktop Real-Time.

To do so I have a "Serial Configuration" block and a "Serial Receive" block which is connected to a "To Workspace" block. (see screenshot below)

I am able to run the model in "Conneceted IO Mode". However, if I change the mode to "Kernel Mode", the model does not work anymore. Simulink states:
Serial Failed Code genreation inofrmation file does not exist.
0 of 1 models built (0 models already up to date)
Build duration: 0h 0m 19.781s
Error(s) encountered while building "Serial_Read"
Is it possible to use serial inputs in "Kernel Mode"? If yes, how can I avoid getting this error? I am trying to get an input from a serial input in Simulink Desktop Real-Time.

To do so I have a "Serial Configuration" block and a "Serial Receive" block which is connected to a "To Workspace" block. (see screenshot below)

I am able to run the model in "Conneceted IO Mode". However, if I change the mode to "Kernel Mode", the model does not work anymore. Simulink states:
Serial Failed Code genreation inofrmation file does not exist.
0 of 1 models built (0 models already up to date)
Build duration: 0h 0m 19.781s
Error(s) encountered while building "Serial_Read"
Is it possible to use serial inputs in "Kernel Mode"? If yes, how can I avoid getting this error? simulink, real-time, kernel mode, serial, serial receive MATLAB Answers — New Questions

​

Post Content Post Content @staff MATLAB Answers — New Questions

​

i have seen example of controlling output dc voltage of DC to DC buck converter using PID controller. I want to implement DC to AC converter. I tried using PID controller. Since i am comparing output AC signal(continuously varying) with reference sinusoidal signal, PID controller is not providing expected output. In case of DC to DC, both reference signal was constant. In my case, it is continuously varying sine wave. Can anyone suggest any way to get accurate DC to AC conversion? i changed kp and ki parameters to get needed response. it is working well. but, when i change frequency of input reference signal, output signal amplitude drops and again i have to change PID parameters.
P.S. when i change frequency of input reference signal, again i have to change PID gain parameters. Can PID controller work with continuously varying reference signal(in terms of amplitude and frequency both) ?i have seen example of controlling output dc voltage of DC to DC buck converter using PID controller. I want to implement DC to AC converter. I tried using PID controller. Since i am comparing output AC signal(continuously varying) with reference sinusoidal signal, PID controller is not providing expected output. In case of DC to DC, both reference signal was constant. In my case, it is continuously varying sine wave. Can anyone suggest any way to get accurate DC to AC conversion? i changed kp and ki parameters to get needed response. it is working well. but, when i change frequency of input reference signal, output signal amplitude drops and again i have to change PID parameters.
P.S. when i change frequency of input reference signal, again i have to change PID gain parameters. Can PID controller work with continuously varying reference signal(in terms of amplitude and frequency both) ? i have seen example of controlling output dc voltage of DC to DC buck converter using PID controller. I want to implement DC to AC converter. I tried using PID controller. Since i am comparing output AC signal(continuously varying) with reference sinusoidal signal, PID controller is not providing expected output. In case of DC to DC, both reference signal was constant. In my case, it is continuously varying sine wave. Can anyone suggest any way to get accurate DC to AC conversion? i changed kp and ki parameters to get needed response. it is working well. but, when i change frequency of input reference signal, output signal amplitude drops and again i have to change PID parameters.
P.S. when i change frequency of input reference signal, again i have to change PID gain parameters. Can PID controller work with continuously varying reference signal(in terms of amplitude and frequency both) ? simulink MATLAB Answers — New Questions

​

Consider the simplified optimisation problem having as decision variable the vector:

where is the number of discretisation points, multiplied by the number of variables per point (e.g. 6 state variables and 3 control variables).

Let the objective function be defined such that the control effort is minimised:

Where is the number of discretisation points and is the 3×1 control vector at the i-th time instant.

In code notation, this becomes:
%% Example:

% Problem data:
timeInstants = 10;
stateVariables = 6;
controlVariables = 3;
allVariables = stateVariables + controlVariables;
decisionVariables = allVariables*timeInstants;

% Indeces:
idx = reshape(1:decisionVariables,allVariables,[])’;
controlIdx = idx(:,1:controlVariables)’;

% NLP vector:
x = rand(1,decisionVariables);

% Objective function:
f = sum(vecnorm(x(controlIdx)));

From literature, I know that the optimal solution of my problem is bang-bang, i.e.:

The analytical Jacobian and Hessian are defined as:

Considering the control profile I’m looking for, the convergence is affected by the singularity when , where both Jacobian and Hessian become indeterminate.

I tried to overcome the problem by imposing alternatives forms when the NaN occurs (such as ones or zeros), but considering that the zero solution is optimal, this causes convergence failures.
The same problem occurs with numerical derivatives.

How can I overcome this problem?
Do you have any reference about other people facing this issue?

Thanks in advance.Consider the simplified optimisation problem having as decision variable the vector:

where is the number of discretisation points, multiplied by the number of variables per point (e.g. 6 state variables and 3 control variables).

Let the objective function be defined such that the control effort is minimised:

Where is the number of discretisation points and is the 3×1 control vector at the i-th time instant.

In code notation, this becomes:
%% Example:

% Problem data:
timeInstants = 10;
stateVariables = 6;
controlVariables = 3;
allVariables = stateVariables + controlVariables;
decisionVariables = allVariables*timeInstants;

% Indeces:
idx = reshape(1:decisionVariables,allVariables,[])’;
controlIdx = idx(:,1:controlVariables)’;

% NLP vector:
x = rand(1,decisionVariables);

% Objective function:
f = sum(vecnorm(x(controlIdx)));

From literature, I know that the optimal solution of my problem is bang-bang, i.e.:

The analytical Jacobian and Hessian are defined as:

Considering the control profile I’m looking for, the convergence is affected by the singularity when , where both Jacobian and Hessian become indeterminate.

I tried to overcome the problem by imposing alternatives forms when the NaN occurs (such as ones or zeros), but considering that the zero solution is optimal, this causes convergence failures.
The same problem occurs with numerical derivatives.

How can I overcome this problem?
Do you have any reference about other people facing this issue?

Thanks in advance. Consider the simplified optimisation problem having as decision variable the vector:

where is the number of discretisation points, multiplied by the number of variables per point (e.g. 6 state variables and 3 control variables).

Let the objective function be defined such that the control effort is minimised:

Where is the number of discretisation points and is the 3×1 control vector at the i-th time instant.

In code notation, this becomes:
%% Example:

% Problem data:
timeInstants = 10;
stateVariables = 6;
controlVariables = 3;
allVariables = stateVariables + controlVariables;
decisionVariables = allVariables*timeInstants;

% Indeces:
idx = reshape(1:decisionVariables,allVariables,[])’;
controlIdx = idx(:,1:controlVariables)’;

% NLP vector:
x = rand(1,decisionVariables);

% Objective function:
f = sum(vecnorm(x(controlIdx)));

From literature, I know that the optimal solution of my problem is bang-bang, i.e.:

The analytical Jacobian and Hessian are defined as:

Considering the control profile I’m looking for, the convergence is affected by the singularity when , where both Jacobian and Hessian become indeterminate.

I tried to overcome the problem by imposing alternatives forms when the NaN occurs (such as ones or zeros), but considering that the zero solution is optimal, this causes convergence failures.
The same problem occurs with numerical derivatives.

How can I overcome this problem?
Do you have any reference about other people facing this issue?

Thanks in advance. nlp, fmincon, hessian, jacobian, indeterminate, nondifferentiable, analytical MATLAB Answers — New Questions

​

Hi,

I am trying to find out what satellites are passing about a ground station at any given time. For this I have following the documentaion and examples for satellite scenario.
I am generating the satellites from the publically available starlink TLE file database at celestrak.
By observing the elevation on (https://satellitemap.space/?constellation=starlink#), I decided to use 75 as min elevation.
Below is the code that gives a list of satellites that passes over the ground station as "intvls".
But the below metod is missing out some satellites that should have been detected. More than likely it is due to the min elevation angle but reducing it increases the false positive.
Any help and suggestions are appreciated appreciated.
Thank you

startTime = datetime(2024,6,11,13,43,00); %TIME IS IN UTC
stopTime = startTime + minutes(30);
sampleTime = 2; % seconds
sc = satelliteScenario(startTime,stopTime,sampleTime);

lat = 30.240997424571656;
lon = -81.61860217874788;
minElevationAngle = 75; %based on observation

gs = groundStation(sc,lat,lon,"MinElevationAngle",minElevationAngle);

sat = satellite(sc, "All_sat.tle");
% play(sc)

ac = access(sat,gs);
intvls = accessIntervals(ac);

% time = datetime(2024,6,11,13,44,0);
% s = accessStatus(ac,time);Hi,

I am trying to find out what satellites are passing about a ground station at any given time. For this I have following the documentaion and examples for satellite scenario.
I am generating the satellites from the publically available starlink TLE file database at celestrak.
By observing the elevation on (https://satellitemap.space/?constellation=starlink#), I decided to use 75 as min elevation.
Below is the code that gives a list of satellites that passes over the ground station as "intvls".
But the below metod is missing out some satellites that should have been detected. More than likely it is due to the min elevation angle but reducing it increases the false positive.
Any help and suggestions are appreciated appreciated.
Thank you

startTime = datetime(2024,6,11,13,43,00); %TIME IS IN UTC
stopTime = startTime + minutes(30);
sampleTime = 2; % seconds
sc = satelliteScenario(startTime,stopTime,sampleTime);

lat = 30.240997424571656;
lon = -81.61860217874788;
minElevationAngle = 75; %based on observation

gs = groundStation(sc,lat,lon,"MinElevationAngle",minElevationAngle);

sat = satellite(sc, "All_sat.tle");
% play(sc)

ac = access(sat,gs);
intvls = accessIntervals(ac);

% time = datetime(2024,6,11,13,44,0);
% s = accessStatus(ac,time); Hi,

I am trying to find out what satellites are passing about a ground station at any given time. For this I have following the documentaion and examples for satellite scenario.
I am generating the satellites from the publically available starlink TLE file database at celestrak.
By observing the elevation on (https://satellitemap.space/?constellation=starlink#), I decided to use 75 as min elevation.
Below is the code that gives a list of satellites that passes over the ground station as "intvls".
But the below metod is missing out some satellites that should have been detected. More than likely it is due to the min elevation angle but reducing it increases the false positive.
Any help and suggestions are appreciated appreciated.
Thank you

startTime = datetime(2024,6,11,13,43,00); %TIME IS IN UTC
stopTime = startTime + minutes(30);
sampleTime = 2; % seconds
sc = satelliteScenario(startTime,stopTime,sampleTime);

lat = 30.240997424571656;
lon = -81.61860217874788;
minElevationAngle = 75; %based on observation

gs = groundStation(sc,lat,lon,"MinElevationAngle",minElevationAngle);

sat = satellite(sc, "All_sat.tle");
% play(sc)

ac = access(sat,gs);
intvls = accessIntervals(ac);

% time = datetime(2024,6,11,13,44,0);
% s = accessStatus(ac,time); matlab, communication, satellite MATLAB Answers — New Questions

​

Hello,
I am trying to filter my images to a certain cycles per degree (cpd). I have obtained the visual angle of the image, and I would like to low-pass filter my images to under 1 cpd using a Gaussian filter. However, I couldn’t figure out what sigma I should use in the imgaussfilt function. Is there a direct formula for the conversion?
I was looking at a similar question here, where we first calculate the visual angle, but it does not mention how it relates to the second formula to obtain sigma. Additionally, there is a constant k in the formula, but I am not sure how to determine what is an appropriate k to use. I would appreciate any help. Thank you!Hello,
I am trying to filter my images to a certain cycles per degree (cpd). I have obtained the visual angle of the image, and I would like to low-pass filter my images to under 1 cpd using a Gaussian filter. However, I couldn’t figure out what sigma I should use in the imgaussfilt function. Is there a direct formula for the conversion?
I was looking at a similar question here, where we first calculate the visual angle, but it does not mention how it relates to the second formula to obtain sigma. Additionally, there is a constant k in the formula, but I am not sure how to determine what is an appropriate k to use. I would appreciate any help. Thank you! Hello,
I am trying to filter my images to a certain cycles per degree (cpd). I have obtained the visual angle of the image, and I would like to low-pass filter my images to under 1 cpd using a Gaussian filter. However, I couldn’t figure out what sigma I should use in the imgaussfilt function. Is there a direct formula for the conversion?
I was looking at a similar question here, where we first calculate the visual angle, but it does not mention how it relates to the second formula to obtain sigma. Additionally, there is a constant k in the formula, but I am not sure how to determine what is an appropriate k to use. I would appreciate any help. Thank you! spatial frequency, image processing, imgaussfilt, gaussian MATLAB Answers — New Questions

​

Hi, I have a problem with the control of a three-phase pfc rectifier controlled by MOSFETs (half bridge for each abc branch). I have implemented the physical part, which is the part I show in the first image (I also upload the model in case you want to see the values I have used). When I simulate with the SVPWM control it is not able to control the current and it quickly gets very high values in the three-phase part. The three-phase voltage is obviously OK, but the DC bus voltage is wrong. At the end I attach a couple of pictures with the results.
The problem is that the control does not work properly. Control in the outer loop is DC voltage (800 V is the reference). As you can see iin the result, voltage go to zero and do not follow the reference.
I don’t understand what is wrong in the model because I think the controllers are well implemented. Can someone please help me?
Plant of the model:

I also attach an image of how the control is implemented:

Results:

Thanks.Hi, I have a problem with the control of a three-phase pfc rectifier controlled by MOSFETs (half bridge for each abc branch). I have implemented the physical part, which is the part I show in the first image (I also upload the model in case you want to see the values I have used). When I simulate with the SVPWM control it is not able to control the current and it quickly gets very high values in the three-phase part. The three-phase voltage is obviously OK, but the DC bus voltage is wrong. At the end I attach a couple of pictures with the results.
The problem is that the control does not work properly. Control in the outer loop is DC voltage (800 V is the reference). As you can see iin the result, voltage go to zero and do not follow the reference.
I don’t understand what is wrong in the model because I think the controllers are well implemented. Can someone please help me?
Plant of the model:

I also attach an image of how the control is implemented:

Results:

Thanks. Hi, I have a problem with the control of a three-phase pfc rectifier controlled by MOSFETs (half bridge for each abc branch). I have implemented the physical part, which is the part I show in the first image (I also upload the model in case you want to see the values I have used). When I simulate with the SVPWM control it is not able to control the current and it quickly gets very high values in the three-phase part. The three-phase voltage is obviously OK, but the DC bus voltage is wrong. At the end I attach a couple of pictures with the results.
The problem is that the control does not work properly. Control in the outer loop is DC voltage (800 V is the reference). As you can see iin the result, voltage go to zero and do not follow the reference.
I don’t understand what is wrong in the model because I think the controllers are well implemented. Can someone please help me?
Plant of the model:

I also attach an image of how the control is implemented:

Results:

Thanks. pfc, active control rectifier, three phase rectifier, active front end, six switches rectifier MATLAB Answers — New Questions

​

How can oscillations be reduced in signals similar to the one shown in Figure 1 to achieve results like those in Figure 2? Please note that it is not a denoising or smoothing problem.How can oscillations be reduced in signals similar to the one shown in Figure 1 to achieve results like those in Figure 2? Please note that it is not a denoising or smoothing problem. How can oscillations be reduced in signals similar to the one shown in Figure 1 to achieve results like those in Figure 2? Please note that it is not a denoising or smoothing problem. signal processing, oscillation MATLAB Answers — New Questions

​

I currently have Python code that takes 1.5 hours to calculate 450+ million Levenshtein distances between 30,011 text labels of no more than 20 characters each. Currently migrating it to Matlab to see the JiT compilation allows optimizations of flow control. The Python implementation uses Anaconda’s CPython, so no JiT, and there is a distinct possibility that Matlab could be much faster.
Years ago, I recall reading that Matlab automatically vectorizes for loops. I cannot find any such mentions now. Is this just assumed to be part of the JiT compilation?
There will be 2 levels of for-loops, one nested within the other, to iterate over matrix rows and columns. Each iteration will call editDistance, so I don’t know if that will prevent vectorization, even if automated vectorization was available.I currently have Python code that takes 1.5 hours to calculate 450+ million Levenshtein distances between 30,011 text labels of no more than 20 characters each. Currently migrating it to Matlab to see the JiT compilation allows optimizations of flow control. The Python implementation uses Anaconda’s CPython, so no JiT, and there is a distinct possibility that Matlab could be much faster.
Years ago, I recall reading that Matlab automatically vectorizes for loops. I cannot find any such mentions now. Is this just assumed to be part of the JiT compilation?
There will be 2 levels of for-loops, one nested within the other, to iterate over matrix rows and columns. Each iteration will call editDistance, so I don’t know if that will prevent vectorization, even if automated vectorization was available. I currently have Python code that takes 1.5 hours to calculate 450+ million Levenshtein distances between 30,011 text labels of no more than 20 characters each. Currently migrating it to Matlab to see the JiT compilation allows optimizations of flow control. The Python implementation uses Anaconda’s CPython, so no JiT, and there is a distinct possibility that Matlab could be much faster.
Years ago, I recall reading that Matlab automatically vectorizes for loops. I cannot find any such mentions now. Is this just assumed to be part of the JiT compilation?
There will be 2 levels of for-loops, one nested within the other, to iterate over matrix rows and columns. Each iteration will call editDistance, so I don’t know if that will prevent vectorization, even if automated vectorization was available. vectorization, jit MATLAB Answers — New Questions

​