I'm trying to send and receive data through a serial port using simulink matlab and Arduino. when to receive data from Arduino to simulink matlab no problem!!
but for sent data to Arduino, I'm faced with this error.
and simulation simulink picture is:
The notation double (c) on the output y from your MATLAB Function block indicates that the signal is numerically complex, see Display Signal Attributes in the documentation for more details. This is the source of your problem, as mentioned in the error message (which is pretty self-explanatory by the way).
To fix it, you need to specify the data type of your outputs to be real in the Ports and Data Manager.
Alternatively, you can add a Complex to Real-Imag to the output(s) of your MATLAB Function block and take only the real or imaginary part of the signal, depending on what you want your algorithm to do.
Related
I work in Simulink and have bus signal (now it consists of 11 signals, every signals is a vector). And I want to make some operations on this bus. It means to make the same operations at each of this 11 signals included in Bus.
I tried this way:
Just implement all my functions and operations at whole Bus. And some blocks (for example, Zero-Order Hold) works fine (it implements correctly to all it's signals). but next block - integrator - works fine (it really integrate all signals) but that crashes my Bus! It returns one vector. It has size equal to the sum of all Bus's signals.
I know I can use Bus Selector block to create 11 parallel signals and copy all my operations for each of them.
How to get Bus signal in more efficient way?
I made it this way (don't attach it like an answer, because Corey Z give the answer at the same time):
Is there any reason that you don't want to convert your bus to a vector to put it through the integrator?
Each vector signal in the bus will be appended to a 1-dimensional vector signal. The vector will come out of the integrator in the same dimensions that it went in and then can be turned back into a bus if need be using the bus creator tool under the signal routing toolbox.
On another note, it seems that you have some discrete time domain elements mixed into your block model along with your continuous-time integrator. If that gives you errors you may need to look into the Discrete-Time Integrator block.
I believe that it is possible to transfer MATLAB codes to Simulink. When we program in MATLAB, I know that it will execute from top to bottom line by line. On the other hand, Simulink deals with blocks that are connected to each others. There might be feedback signals. There might be subsystems whose outputs are inputs to other blocks and so on...Suppose we have 3 subsystem blocks connected to each other and the last block's output is fed into the first, which block does Simulink start with?
My question might be a foolish one especially after this long of playing with MATLAB and Simulink but I've not come to know the answer for this yet!
This depends on the actual simulation model. Before the simulation starts, Simulink analyzes the model (which blocks are connected in which direction, are there algebraic loops, etc.). The result is the so-called sorted order of the blocks, which is then used to actually execute the blocks' code.
See the documentation for details.
I want to design a system that has to read some values from sensors through Arduino microcontroller using Matlab.
I want to use the simulink inputs as the sensors and the output to the motors,
I wrote an app to do that on Arduino, and also I wrote some functions in Matlab to read these sensors and to control the output, but I want to use simulink to implement a Fuzzy logic Controller the input is the values of sensors and the output is the speed.
If you wrote the functions for MATLAB in C, you can put your code in an S-Function, whether it is for sensor input or actuator output.
Otherwise, either use Embedded M file or S-function in your Simulink model.
I believe I am doing something fundamentally wrong when trying to import and test a transfer function in Simulink which was created within the System Identification Toolbox (SIT).
To give a simple example of what I am doing.
I have an input which is an offset sinusoidal wave from 12 seconds to 25 seconds with an amplitude of 1 and a frequency of 1.5rad/s which gives a measured output.
I have used SIT to create a simple 2 pole 1 zero transfer function which gives the following agreement:
I have then tried to import this transfer function into Simulink for investigation in the following configuration which has a sinusoidal input of frequency 1.5rad/s and a starting t=12. The LTI system block refers to the transfer function variable within the workspace:
When I run this simulation for 13 seconds the input to the block is as expected but the post transfer function signal shows little agreement with what would be expected and is an order of magnitude out.
pre:
post:
Could someone give any insight into where I am going wrong and why the output from the tf in simulink shows little resemblance to the model output displayed in the SIT. I have a basic grasp of control theory but I am struggling to make sense of this.
This could be due to different initial conditions used in SimuLink and the SI Toolbox, the latter should estimate initial conditions with the model, while Simulink does nothing special with initial conditions unless you specify them yourself.
To me it seems that your original signals are in periodic regime, since your output looks almost like a sine wave as well. In periodic regime, initial conditions have little effect. You can verify my assumption by simulating your model for a longer amount of time: if at the end, your signal reaches the right amplitude and phase lag as in your data, you will know that the initial conditions were wrong.
In any case, you can get the estimated initial state from the toolbox, I think using the InitialState property of the resulting object.
Another thing that might go wrong, is the time discretization that you use in Simulink in case you estimated a continuous time model (one in the Laplace variable s, not in z or q).
edit: In that case I would recommend you check what Simulink uses to discretize your CT model, by using c2d in MATLAB and a setup like the one below in Simulink. In MATLAB you can also "simulate" the response to a CT model using lsim, where you have to specify a discretization method.
This set-up allows you to load in a CT model and a discretized variant (in this case a state-space representation). By comparing the signals, you can see whether the discretization method you use is the same one that SimuLink uses (this depends on the integration method you set in the settings).
I'm learning simulink and I want to use the rician channle block from the communications blockset. I'm told I need to change the format format. Would anyone have some sample code where they used the rician channels in simulink to model a bit error rate process?
MathWorks appears to have a tutorial on the subject. Have you taken a look at that?