a nonstop Running of my Simulink model - matlab

In order to plot the Eb/N0 versus BER performance of my model Simulink and bring out the output (which is a vector of bits) from simulink to workspace, I need to the complete simulation of my model. But, the simulation doesn't stop, it runs hours und hours without stop. Actually, I haven't unterstand this problem as a beginner in Matlab-simulink. But, I am quiet sure that I need to see the end of my work to be able to analyse the performance and then correct if there is a problem.
Thanks in advance

This might be what you want to access data during simulation:
http://www.mathworks.com/help/simulink/ug/accessing-block-data-during-simulation.html

Related

MATLAB error handling of SIMULINK (sim) due to external component

My problem is that I am running a sweep study with some parameters. I change them in MATLAB and then run a simulation in MATLAB with the sim command. The simulation in SIMULINK contains an external software component from COMSOL with an FEM behind it. In some cases where the configuration is unfavorable (rapid changes in the feedback loop of the controlled system), the FEM tool is not able to converge in finite time, resulting in an error after a few simulation seconds/minutes/hours. The simulation command is inside a try-catch section to avoid that the program is stopped and the next study step starts to process the acquired data.
The problem is that in case the simulation has a convergence problem, the data generated up to this error is not sent to the workspace, but would be valid, and so I cannot find out from the data what was the reason for the convergence problem.
As additional information, I have been using the ToWorkspace block to send the data to my workspace where I do my post processing, and that works fine when the simulation is complete.
If any of you have any ideas on how to solve this problem, maybe you can help me.
Thank you in advance.

How to speed up simulation of Simscape based Physical model?

I am working on modeling and controlling of a hydraulic system. Modeling of the system is modeled in Matlab simscape in simulink environment which is looks like this
and for basic controlling to control the piston position (Piston Pos in figure) I have established simple feedback to check the position.
While I run the simulation when this comes to control the position Simulation takes too much time. For example if I gave desired piston position 300 mm than while output comes to around 290-294 mm simulation time reaches at around 5.18sec than it is stuck on that for longer time.
I want to know that, is there any way to speed up the simulation ?
I am using Matlab simulink solver ode23t due to simscape modeling.
Speeding up simulations in general is vast subject. It seems the issue here is an event which triggers multiple small time-step in the variable step solver.
This can be perfectly normal, for example a clutch engaging, or a valve opening.
To check whether or nor this is the case you can execute (make sure time-logging is enabled):
semilogy(tout(2:end), diff(tout))
Sharp downward spikes indicate small time-steps were taken. For a more in-depth analysis you can use the Solver Profiler:
https://www.mathworks.com/help/simulink/ug/examine-solver-behavior-using-solver-profiler.html
This will give you detailed information as to which components are causing solver resets.
Such behavior can be difficult to debug if you're not used to the tool. I'd highly recommend getting in touch with MathWorks tech support if the behavior persists. They'll be able to look at your model and diagnose the issue.

Increased Error with more Training Data for a Neural Network in Matlab

I have a question regarding the Matlab NN toolbox. As a part of research project I decided to create a Matlab script that uses the NN toolbox for some fitting solutions.
I have a data stream that is being loaded to my system. The Input data consists of 5 input channels and 1 output channel. I train my data on on this configurations for a while and try to fit the the output (for a certain period of time) as new data streams in. I retrain my network constantly to keep it updated.
So far everything works fine, but after a certain period of time the results get bad and do not represent the desired output. I really can't explain why this happens, but i could imagine that there must be some kind of memory issue, since as the data set is still small, everything is ok.
Only when it gets bigger the quality of the simulation drops down. Is there something as a memory which gets full, or is the bad sim just a result of the huge data sets? I'm a beginner with this tool and will really appreciate your feedback. Best Regards and thanks in advance!
Please elaborate on your method of retraining with new data. Do you run further iterations? What do you consider as "time"? Do you mean epochs?
At a first glance, assuming time means epochs, I would say that you're overfitting the data. Neural Networks are supposed to be trained for a limited number of epochs with early stopping. You could try regularization, different gradient descent methods (if you're using a GD method), GD momentum. Also depending on the values of your first few training datasets, you may have trained your data using an incorrect normalization range. You should check these issues out if my assumptions are correct.

Plotting in Matlab using Real Time data from Simulink

I'm trying to solve a problem of simulating in real time in Simulink (This is solved) but plotting (real time) in Matlab ?
Details:
I want to be able to run a Simulink simulation (which is running in real time) and be able to turn on / off manual switches while the simulation is happening. This works well when I'm using the built in Scopes in Simulink but now I want to export that data to Matlab in real time as well (To make a custom looking graph).
So is there a way, to export this data (it can be sampled if that is necessary) to Matlab and make a plot that is constantly updating. Meanwhile I can still manipulate the switches in Simulink and influence the simulation manually ?
Simulink is effectively running continuously until I stop it.
Thanks for the help!
There should be some kind of notification going when simulink updates the data to be visualized. Maybe this is the linkdata feature.
Another, worse, solution is the drawnow command to redraw the graphs continously (the latter could be unnescessary costly for you program).

Simulink performance with S-Function

I am trying to run my simulink file which have pid controller connected to s-function block.
When i set three values parameters of pid which are proportional, integral and derivatives it takes too long to run the whole process. Why this is happened?
In the dialog box of my pid diagram, for porportional value, its equal to the value which correspond to the constant amplitude oscillation.
Then for integral, its equal to Kcu/Ti. Ti is the ultimate period(Pu)/2 and
lastly for derivatives, its equal tu Kcu*Td and Td is Pu /8. This is refer to ziegler nichols method. and again my question is why it takes too long to running this file?
MATLAB S-functions are slow because they run in the MATLAB interpreter. Consider implementing it using Simulink blocks or using a "Embedded MATLAB Function" (pre-R2011a) or "MATLAB Function" (R2011a+) block.
Read Guy and Seth's thoughts on Simulation performance.
#Nzbuu is right about the Matlab S-functions.
But I think the problem here could be somewhere else: #Syarina are you saying that the Simulink simulation gets slower after you set the proportional coefficient for the controller? If you simulate the plant alone, in this case the S-function, do you notice a significant difference in the execution speed? If it is really so, I suppose the PID controller makes the ODE system stiff. This means that the different states of the ODE system have really different dynamics - some are very fast, some are very slow. Using an ode-solver that is not suited for stiff equations you will find the simulation much slower (actually you would have luck if it converges at all).
My suggestion is try to change the solver - for example ode15s.