It is stated that I am trying to convert my control scheme which is implemented in the Simulink into TwinCAT. I have used integrator and derivative blocks in my control scheme.
For testing purposes, I am trying to convert a simple Simulink file containing an integrator block. However, I got a build error. How can I resolve this?
Simulink-block-diagram
Error Picture Simulink during building
Related
I would like to use the Application Compiler (Appdesigner -->Standalone Desktop App) on my MATLAB app. This app calls a .m file which is using the rtwbuild command to deploy a Simulink model to an arduino. The app works well when run in MATLAB, however after compilation I receive an error with rtwbuild:
Error using rtwbuild
The Matlab Path must have these directories for Simulink to function:
toolbox/simulink/blocks, toolbox/simulink/simulink
Matlab cannot continue. Please restore the path and restart Matlab
The documentation says, that no Simulink functions are supported for the MATLAB Compiler (see here) and the rtwbuild function seems to be a Simulink function, since it is in the documentation in the category "Simulink Coder" (see here). However, I do not have the Simulink Coder Toolbox and the app was running in MATLAB anyway, so I am not sure if rtwbuild is really a Simulink function.
To keep it short, my question is the following:
"Is it possible to use the Application Compiler on .m scripts including the rtwbuild command?"
Thank you for your help!
rtwbuild is without a doubt a Simulink Function, which means the MATLAB-Coder can not generate code. More generally speaking, you can not deploy the code generator. Generating code from M or Simulink requires a full MATLAB (Simulink) to be running. It would be foolish to let you use such a key feature without a MATLAB (Simulink) license (personal opinion).
About your confusion about rtwbild being part of the Simulink Coder. The Support Package for Arduino Hardware allows you to use certain deployment features. You can for example get binaries, you can not access the C code without having a Coder License. For details refer to "Additional Capabilities with Simulink Coder and Embedded Coder" in the documentation.
The documentation does not reflect these special cases, but obviously TMW did not re-invent the wheel when providing the Support-Packages for Arduino. Instead some "Simulink Coder" functions do not require a Simulink Coder License when used with the code generation Target Arduino. Same is true for the Raspberry and to a limited extend for the (rapid) accelerator mode.
I've read that I can generate code from Simulink models/block diagrams. I am curious whether Simulink always converts a model to (c/c++/java) code prior to running a simulation in the Simulink software, and then execute that code? I mean, whenever I'm running a simulation is Matlab converting the block diagram to (c/c++/java) code and running that code behind the scene. In this case, simulation in Simulink directly depends on running some code; this information is important to me in some way.
Generating and running code for a complete model seems plausible, as we can write s-functions using C/Matlab code and use them as custom blocks. So simulating a model involves running code in some degree. Again, since we can write Matlab code as well, simulation may involve interpreting Matlab code in some environment. It makes me curious whether these information are available - how tightly running a simulation in Simulink depends on executing native code in user's machine.
I did some search before posting and found this SO question: How does simulation engine work? Discussion in this question does not answer my question directly.
The answer depens on which mode you chose.
In the normal mode Simulink will run the model as it is primarily using the MATLAB execution engine. No code is generated. Native implemented parts (e.g. S-Functions) are used as individual binaries called by the MATLAB interpreter.
In the accelerator mode Simulink generates model code. This means your full model (except parts where code generation is impossible) is generated and compiled into one binary.
In the rapid accelerator mode not only your model but also the solver is generated and compiled into one binary, now running in a separate process.
For more details refer to the official documentation
Is there an alternative function to the sim() command oder a direct way executing a Simulink Model / a compiled version of it from Matlab without setting coder.extrinsic?
I want to execute a simulink model inside of an iterative Matlab-function. (Hence, speed matters dramatically). The used Simulink model contains a Dymola interface and hence, I cannot model it directly in Matlab. Another main Simulink model starts and iterates the Matlab functions and hence, simulating it leads the coder trying to compile it efficiently. By setting coder.extrinsic, of course I can use the sim command, but it is way too slow for its purpose. I thought about compiling the Simulink model as an alternative, but do not know if this would be a good approach
The structure looks as follows:
Simulink main model -> matlab functions -> simulink model
sim command needs MATLAB. So you need coder.extrinsic. There is no direct alternate way without coder.extrinsic to simulate a model. You can generate code from the model and call the generate code using coder.ceval functions. But if your goal is only to get more speed instead of getting stand-alone code you can set your model to run in accelerator mode and see whether that improves speed.
I want to create simulink block with existing matlab files. i have system with signal processing technique. I use simulink block "Matlab Function".
In that function i define,
x = audioread('test\test2.wav');
but it gives an error,
how can i solve this?
You have two ways to solve this, either use the read from media file block to have a simulink only solution or use coder.extrinsic.
Simulink has a module called "Matlab Function," which allows you to create a custom function in a Simulink flow diagram.
I implemented a simple function in a Simulink Matlab Function module. My function contains a call to Matlab's built-in rms(). When I run the Simulink model, I get the following error:
The function 'rms' not supported for standalone code generation
If I remove rms from my Matlab Function in the Simulink model, the error goes away and the model runs flawlessly.
Questions:
Is there a way to use Matlab's rms in Simulink?
Are there many other native Matlab calls that can't be used inside Simulink?
I just wanted to clarify and expand upon some points made in learnvst's answer.
Even if you are simply trying to simulate a model containing a MATLAB Function block and are not explicitly attempting to perform code generation, you will still get the not supported for standalone code generation error.
As learnvst indicated, there are multiple restrictions on functions that can be used with code generation. However, if you just want to simulate your model, Simulink allows you to do this if you signify these "black-listed" functions as being extrinsic. This lets Simulink know that the functions will be used for simulation purposes only and won't be part of code generation.
In your particular case, add the following line of code somewhere before your call to rms:
coder.extrinsic('rms');
Declaring a function as extrinsic in a MATLAB Function is often useful even when you are performing code generation. For example, you may want to visualize your data using the plot command during simulation, but obviously would not need the plot command to be part of generated code.
Refer to this doc for more info on declaring functions to be extrinsic.
The not supported for standalone code generation part of the error suggests to me that you are trying to use a product like Matlab Coder to make an executable or native code. If this is the case, there are many naive calls that cannot be used directly in both core Matlab and the toolboxes. The coder products only support a subset of the language. More information can be found here . . .
http://www.mathworks.co.uk/products/matlab-coder/description2.html
As for your call to rms, it is only calculating the root of the mean of the squares. Try creating an alternative using something like . . .
sqrt(mean(x.^2))
...where x is the signal.