I am looking to change the probability of each branch of my select output, using an event. Thank you
Simply create a double variable named myProb, set it to the initial probability.
In your SelectOutput, use that:
In your event, change the variable:
For SelectOutput5 branches, the approach is the same
create one variable for each probabilty and then in the event you only need to change the variable values.
In the selectOutput or selectOutput5, instead of adding probability 0.3, you will write down variableProbability1 for instance, that will be equal to 0.3
Related
I am using the FixedRotation component and get a division by zero error. This happens in a translated expression of the form
var = nominator/fixedRotation.R_rel_inv.T[1,3]
because T[1,3] is 0 for the chosen parameters:
n={0,1,0}
angle=180 deg.
It seems that Openmodelica keeps the symbolic variable and tries to be generic but in this case this leads to division by zero because it chooses to put T[1,3] in the denominator.
What are the modifications in order to tell the compiler that the evaluated values T[1,3] for the compilation shall be considered as if the values were hard coded? R_rel is internally in fixedRotation not defined with Evaluate=true...
Should I use custom version of this block? (when I copy paste the source code to a new model and set the parameters R_rel and R_rel_inv to Evalute=true then the simulation works without division by zero)...
BUT is there a modifier to tell from outside that a parameter shall be Evaluate=true without the need to make a new model?
Any other way to prevent division by zero?
Try propagating the parameter at a higher level and setting annotation(Evaluate=true) on this.
For example:
model A
parameter Real a=1;
end A;
model B
parameter Real aPropagated = 2 annotation(Evaluate=true);
A Ainstance(a=aPropagated);
end B;
I don't understand how the Evaluate annotation should help here. The denominator is obviously zero and this is what shall be in fact treated.
To solve division by zero, there are various possibilities (e.g. to set a particular value for that case or to define a small offset to denominator, you can find examples in the Modelica Standard Library). You can also consider the physical meaning of the equation and handle this accordingly.
Since the denominator depends on a parameter, you can also set an assert() to warn the user there is wrong parameter value.
Btw. R_rel_inv is protected and shall, thus, not be used. Use R_rel instead. Also, to deal with rotation matrices, usage of functions from Modelica.Mechanics.MultiBody.Frames is a preferrable way.
And: to use custom version or own implementation depends on your preferences. Custom version is maintained by the comunity, own version is in your hands.
I'd like to use Modelica_LinearSystems2.ModelAnalysis.Linearize to analyze the dynamic characteristics of my model, so I execute the following commands, but in the result, the variables that I am interested in don't show up.
My question is:
How could I assign the specific variables used in the function of Modelica_LinearSystems2.ModelAnalysis.Linearize?
That linearization is just based on the inputs, outputs, and states and you cannot change that function to linearize something else.
However, you can modify those sets of variables.
If you want to linearize the computation of any variable you can either change it to an output or add an new output as output Real my1=IWantToLinearize;
For states you can change so that some other variable is a state by using the stateSelect-attribute.
If you want to see how a change in another variable influences the result you cannot directly make it an input, but you could replace the use of internal variable xint by xint+u and declare u as an input, to linearize w.r.t. changes here. However, you have to be careful so that the computation of xint is unchanged.
If statement in Simulink is not like in a programming language, it accumulates last true value untill it occurs again.
As it can be seen here, when random value is lower than 0.5 (if condition) output dosn't give zero as one normally expects from if statement.
What is the proper way to use an if? (Where preferably I don't want to put saturation and matlab function)
The Out block within the If Action subsystem has a property to either hold or reset its output when disabled. The default is to hold; you want it to reset. You'll also need to specify 0 as the initial condition, which is what it'll reset to.
So far what I could do this to use an elementary matlab function;
function y = fcn(u)
if u>0
y = u;
else
y = 0;
end
end
but I wondered it would be a proper way of using if block.
Change out blocks property in If action subsystem to 'reset', it looks like it is 'held' in your current implementation
I am currently working on a spacecraft body with actuator, and given the equation below:
J·w_dot = -w^x·J·w + u (1)
where w^x is actually a notation of 3x3 matrix
[ 0 -w3 w2
w3 0 -w1
-w2 w1 0]
By rearranging (1), I got w_dot = (-w^x·J·w + u)/J. And here I face the problem, I need to update value constantly for w_dot but I have no idea how. I have tried the Memory block but it only update every 0.2 seconds which is not appropriate for the system.
This is my current setting:
I was thinking the integrator block could be the one to be updated every single cycle as initial condition could be set.
Yes, your solution seems about right; the integrator block will cause the system to be continuous-time, rather than discrete-time. This will output results as accurately as Simulink can accomplish.
You can set initial values for the integrator by double-clicking on the integrator block, setting the "Initial condition source" to "external", then connecting another input or constant block, output, or whatever else you want providing the initial value.
By the way, is J is the inertia tensor? In that case, you can't simply "divide" by it; you should multiply by its inverse (setting "Matrix" as the "Multiplication" option in the Divide block's options)
I have a MATLAB function block in simulink and for each step simlulink does I want to input a counter with increment 1.
Ex:
1st Step -> Acc=1
2nd Step -> Acc=2
I tried using a Count up block + Pulse generator but the time step of simulink is not constant.
Any ideas?
A common way to do this is to use a sum and a memory block with an initial condition of 0. It should count steps in both fixed and variable step simulations. In fact I believe this would be build and perform very much like an s-function solution during simulation.
Why not just use an integrator block? You can choose with a discreet or continuous integrator block depending on your model type. You can specify the start conditions/value and reset conditions if needed. The image below shows an example of discreet and continuous blocks. Both are just using their default values. To do what you want (adding 1 to the output every step) just define the model sample time as an environment variable (eg sT=0.01) and set the integrator gain to be 1/sT.