where can i see task overruns while running a simulink model on raspberry pi
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Hello,
i use the hardware support to run simulink models on Raspberry pi. In the previously used Matlab R2015b i got an Command-line window which displayed me task overruns after the compilation process.
Now i will use Matlab R2017a and the problem is that this Command-line window does not appear after the compilation process.
The question is: how can i see task overruns or how can i activate this Command-line window?
Kind regards...
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Risposte (3)
Nick Choi
il 13 Nov 2017
You can detect task overruns for a Simulink model running on a Raspberry Pi by enabling 'Enable overrun detection' in the model's configuration parameters as described in this documentation page:
1 Commento
Madhu Govindarajan
il 13 Nov 2017
If you follow these steps, when there is a task overrun the digital LED on the Pi blinks at a constant rate.
breezer
il 15 Nov 2017
Modificato: breezer
il 15 Nov 2017
2 Commenti
Madhu Govindarajan
il 15 Nov 2017
I personally have never experienced what you are referring to with R2015b (CMD-line message), so cannot comment much. But I feel like this might be related to the View Diagnostics stuff.
Have you checked the View Diagnostics pane for these types of warnings? https://www.mathworks.com/help/simulink/ug/diagnose-simulation-errors.html
Ashley Warne
il 7 Feb 2018
Modificato: Ashley Warne
il 7 Feb 2018
A MODELNAME.log file is created in the same folder on the Rasp Pi as the model. Overruns are reported in this file. If you open up a remote command line session to the Rasp Pi as explained in the link below then you can run the command "cat MODELNAME.log" to print out this file to the screen and see if the model is over running. This works even while the model is running.
Make sure you enable overrun detection.
@Mathworks - The documentation mentions nothing about the LED and still refers to errors being thrown to the command line. The LED doesn't provide useful feedback anyway as it's always blinking for one reason or another. Perhaps you should mention that the .log file can be inspected to determine if the model is overrunning.
1 Commento
Madhu Govindarajan
il 8 Feb 2018
That is definitely valuable feedback. I have passed on your feedback to MathWorks developer who works on this product for their consideration to update the documentation.
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