Simulink is an integrated toolbox of MATLAB for system modeling and simulation. Unlike MATLAB, Simulink's graphical programming function, but when using Simulink, sometimes you need to interact with MATLAB for data. This article introduces Simulink and Two methods of MATLAB data interaction.

1 Simulink data output

There are two main methods for Simulink to output data. One is to use the to workspace module to directly output the data to the working area of ​​MATLAB. You can directly write MATLAB programs to use the data. This method is simple, but the data is also lost after closing MATLAB. In order to save the data permanently, you need to use the to file module in Simulink to save the data in the form of a .mat file.

1.1 to workspace module

The following is its detailed parameter introduction:

You can set the variable name, data point limit, data extraction interval, and also select the data type, supporting timeseries, array or structure data. Here is a simple example to output the positive selection function to the MATLAB workspace:

The variable will be created in the workspace after the program is finished:

The default is timeseries type data, which has two dimensions: time and numerical dimensions.

1.2 to file module

The main parameters are file name, variable name, data type, sampling interval, and sampling time. Here is a simple example that also outputs a sine signal:

will generate a mat file in the current folder

Use load(‘data.mat’) command to import data:

2 Simulink read data

There are also two main methods for Simulink to read MATLAB data, from workspace and from file. Next, we will introduce the specific usage of these two modules.

2.1 from workspace

There are three ways to import data in this module: timeseries, matrix, structure, the main parameters are introduced below
Data: Used to set the variable name to simin
Output data type: used to set the output data type
Interpolate date: used to enable internal interpolation
Enable zero-crossing detection: used to enable zero-crossing detection
Form output after final data value by: Used to select the algorithm for external interpolation in the next time when the simulation time exceeds the external data
to introduce examples of data import:
(1) Import as a matrix
First create a matrix:

t=[0:0.01:10]';
x=sin(t);
sim=[t,x];

It should be noted that the sim matrix has at least two columns, one for time data and one for values.
Simulation model:

Results:

(2) Structure data:
MATLAB code:

t=[0:0.01:10]';
x=sin(t);
sim.time=t;% Assignment structure time series
 sim.signals.values=x;% Assignment structure parameters
 sim.signals.dimension=[1001,2];% Assignment structure parameter size (number of rows, number of columns)

The simulation model and results are the same as above.
(3) timeseries data
MATLAB code:

t=[0:0.01:10]';
x=sin(t);
 sim=timeseries; %define data type
 sim.Time=t;% time domain assignment
 sim.Data=x;% data field assignment

The simulation model and results are the same as (1)

2.2 from file module to read data

The main parameters of this module include file name, output data type, sampling time, interpolation and zero-crossing detection, etc. The following is a simple example to introduce the usage of this module.
Still use MATLAB programming to save the .mat file

t=[0:0.01:10]';
x=sin(t);
y=[t,x];
sinx = timeseries(y(:,2:end),y(:,1));%ÏÈÊý¾Ý£¬ºóʱ¼ä
save('data','sinx');

Call the module:

Simulation results: