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What are the relationships between workspace, .m scripts and Simulink models and how can I use them efficiently?

I'm using a lot of MATLAB for a Control class and something is really bumming me out. They want us to use a lot of Simulink even though I find the visual representation not that helpful and the interface between Simulink and MATLAB scripts hard to figure out in general.

So I have a model and I have added scopes for sinks which can save data directly to the workspace when ran from Simulink. However when I use the command sim in the script to directly use the model according to some parameters (stopTime, solving method, etc.) the results are buried in an object which is poorly documented to say the least so say I have:

simout = sim('lab','StopTime','100','Solver','ode1','FixedStep','2');

Now I have an object in my workspace but to access the data I want I need to go 3, hell 4 layers deep sometimes in the members of simout. My first question is :

  1. Is there a way to access directly or at least know what those members are without using the tedious use of who.

    I don't want to compile code to access its documentation! And help is not really helpful for those situations.

  2. Why doesn't the Simulink model save the data when invoked like prescribed in the sink properties. I know that the line of code I mentioned overides some of the simulink block prescriptions (e.g. the solving method used).

  3. How to know how simulink models interact with matlab scripts, granted I am a noob in coding in general, but the documentation doesn't really tell me what are the formal definitions of the model and the way it is used in matlab. I am scared at some points the default settings of 'sim' will overide some settings I set up in an earlier model which would prove to be a nasty buisiness to debug.

TL;DR Is there a quick way to access deeply buried members of an object? For example right now I have to do:

simout = sim('lab','StopTime','100','Solver','ode1','FixedStep','2');
who(simout)
ScopeData = (simout.get('ScopeData'))
signals = (ScopeData.signals)
time = (ScopeData.time)

Can I do something more C-ish of the sort of (Simout->ScopeData).signals?

And finally, why is the MATLAB suite presented like it was an app for day-traders when it is used a lot by EE people who in general need to know their coding? Why are libraries with headers and good documentation for what you are importing in your code (e.g. boost, string etc.) not used? This last option might be less pretty by hiding the mechanics, but to be able to write code properly I feel like I have to know most of the underlying mechanics of the code.

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SolipsistElvis Avatar asked Feb 09 '23 22:02

SolipsistElvis


1 Answers

Invariably when most people start off using MATLAB or Simulink, they hate it. The main reasons I see for this is people are taught MATLAB very poorly which prevents them from understanding the power of MATLAB and when it should be used.

Before I get into describing how the MATLAB workspace, m files and Simulink are all related let's first define what each of those is separately and a few of the things you can do with them.

The MATLAB Workspace

The MATLAB workspace contains all of the variables you have created in MATLAB either explicitly via the command window or implicitly through running a .m file (don't worry I'll come back to these). The simplest method to add a variable to the MATLAB workspace is to directly type into the command window like

>> A = 1
A =

     1

which adds the variable A to the workspace and assigns it a value of 1. Even simpler though is to simple type 1 like

>> 1
ans =

     1

which adds the variable ans to the workspace with a value of 1. The default workspace variable for any command executed by MATLAB that is not explicitly assigned to a variable is ans.

The workspace browser in MATLAB displays information about all of the variables currently in the workspace. For instance if we were to execute, in the command window,

>> A = 5;
>> B = [6 8];
>> C = [3 6 7; 9 11 12];
>> D = eye(max(size(C)));

the workspace browser would look something like

                           MATLAB workspace browser

Some Helpful Workspace Commands

The save and clear commands are helpful commands that work with the MATLAB workspace. save lets you save variables from the workspace to a file whilst clear lets you remove variables from the workspace, thus freeing up memory. clear all will clear every variable from the workspace.

m Files

An m-file (or script file) is a simple text file with a .m file extension. In it you type MATLAB commands which can be executed sequentially by executing just the m-file in the command window. For instance, lets copy our commands from above and paste them into an m-file called mfile_test.m. Now lets add the command C - A to the bottom of the m-file (note do not append a ; after the command). We can execute this m-file from the command window and see the output of all of commands within it executed sequentially

>> mfile_test.m
ans =

    -2     1     2
     4     6     7

m Files and Functions

m files can also contain functions. For instance we could write a function that calculates the area and circumference of a circle like

function [A, C] = circle(r)
    A = pi*r*r;
    C = 2*pi*r;
end

and put it in an m-file called circle.m. We could then use this like

>> circle(5)
ans =

   78.5398

where ans now holds the area of a circle with a radius of 5 or

>> [A, C] = circle(5)
A =

   78.5398

C =

   31.4159

where A holds the area of the circle and C the circumference.

Simulink Models

Simulink is a graphical tool that can be used to model various different types of systems as well as modelling dynamic system behaviour. Simulink is closely embedded into the MATLAB ecosystem which adds additional power to it (again I'll come back to this later when describing the similarities).

Simulink models contain blocks which all exhibit different behaviour. There is also the functionality to create your own Simulink blocks should you need. Models in Simulink are made by connecting blocks of different kinds to emulate the system you want to model.

Simulink is quite extensive and I don't recommend learning it on your own. The best way to learn Simulink is invariably as part of a course, Control Systems or Systems Analysis type courses are ideal for this purpose. For that reason I'm not going to dwell on it for much longer here.

How are the MATLAB Workspace, m Files and Simulink all Related?

Well, the MATLAB workspace is available to both m files and Simulink. Variables in the MATLAB workspace can be used in both m files and Simulink.

m files that contain only scripts (and not functions) will write every variable created in them to the MATLAB workspace. m files that contain only functions won't write any of the new variables used in those functions to the MATLAB workspace. The only way a function will alter variables in the MATLAB workspace is by assigning an output value to ans or if you explicitly declare output arguments when calling the function.

Simulink and the MATLAB workspace have a very similar relationship to m files and the MATLAB workspace. Any variable in the MATLAB workspace is available for use in Simulink (in any part, including configuration). For instance in the below configuration I use the MATLAB workspace variables start_time, stop_time and step_time to set up the parameters of model. Typically I would define these in an m-file before I run my Simulink model with sim(). This is how we can relate all 3 together.

   Simulink Configuration

Simulink can write variables to the MATLAB workspace by adding output arguments to the sim() command. However, as you've found this can be quite nasty to navigate and extract what you really want! A better approach would be to use the Data Import/Export options in Simulink coupled with a To Workspace block to grab the outputs that you are concerned with so that you can ignore everything else.

Below I have a screenshot of the Simulink Data Import/Export pane. You can see there are options in here for us to send variables to the MATLAB workspace. Typically, the most common you would need is tout which will be a range given by start_time:step_time:stop_time from the earlier configuration pane. Other areas that would be of primary interest in this screen would be xInitial and xout which are used in Root Locus analysis.

   Simulink Data Import/Export

However, all that aside one of the best blocks in Simulink is the To Workspace block. This block can be used to store variables directly in the MATLAB workspace and is one of the keys to being able to link MATLAB and Simulink. You get the power of Simulink but the computational and plotting abilities of MATLAB. I've included a screenshot of it below as well as a typical configuration I would use. The default Save Format for this block is Timeseries, however, I recommend changing this to Array as it will make your life much easier.

  Simulink To Workspace

OK, where was I? I feel like I'm giving a lecture instead of writing an answer!

A Practical Explanation

Simulink Model

So now let's put everything we've learned into practice with a simple example. First we are going to create a simple Simulink model like this

                 Simulink Model

Now we'll set up our configuration for this, as before for the Solver section

   Simulink Model Configuration

We'll also untick Limit data points to last: in the Data Import/Export section

   Simulink Data Import/Export

And, that's it. Our simple Simulink model has been created and setup. For the purposes of this answer, I'm saving mine as stackoverflow_model.slx.

MATLAB Script

Now we'll create simple MATLAB script (m-file) called stackoverflow_script.m that will set up the necessary variables for our Simulink model by adding them to the MATLAB workspace. We'll then call our Simulink model and check what new variables it added to the workspace. And, finally we'll generate a simple plot to show the benefits of this approach.

So here is the MATLAB script

% Script developed to describe the relationship between the MATLAB
% workspace, m-files and Simulink
close all
clear all

% Initialise variables
start_time = 0;
stop_time = 10;
step_time = (stop_time - start_time) / 1000; % Creates 1000 + 1 points

% Choose k
k = 60;

% Execute Simulink model
sim('stackoverflow_model');

whos % To display variables returned from Simulink

% Plot results
figure;
plot(tout, yout, 'r');
title('Sample Plot');
xlabel('Time (s)');
ylabel('Output');

Putting it All Together

Now we execute this script in the command window with stackoverflow_script and sit back and marvel at the POWER of MATLAB and Simulink combined.

>> stackoverflow_script
  Name               Size            Bytes  Class     Attributes

  k                  1x1                 8  double              
  start_time         1x1                 8  double              
  step_time          1x1                 8  double              
  stop_time          1x1                 8  double              
  tout            1001x1              8008  double              
  yout            1001x1              8008  double

We can see from the output above that all of the variables Simulink needs (k, start_time, step_time and stop_time) are all in the MATLAB workspace. We can also see that Simulink adds 2 new variables to the MATLAB workspace tout and yout which are simple 1001x1 vectors of doubles. No nasty structs to navigate.

And finally, this produces a nice plot

                    Final Plot

And so that concludes our whistle stop tour through MATLAB, m files and Simulink! I hope you've enjoyed it as much as I did writing it!

P.S. I haven't checked this for spelling or grammar mistakes so edits are very much welcome ;)

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IKavanagh Avatar answered Feb 15 '23 10:02

IKavanagh