Hi Johannes,
There is no predefined object in Simulink that can directly represent a thermal impedance model in state space representation. However, you can create a custom Simulink component to represent this model using the Simulink Simscape language.
Here's an example of how you can create a custom Simscape component to represent a thermal impedance model in state space representation:
- Create a new Simscape component in your Simulink model.
- Define the nodes for your component. In your case, you have four input nodes and four output nodes. You can define them as follows:
nodes
p1 = foundation.thermal.thermal;
p2 = foundation.thermal.thermal;
p3 = foundation.thermal.thermal;
p4 = foundation.thermal.thermal;
t1 = foundation.thermal.thermal;
t2 = foundation.thermal.thermal;
t3 = foundation.thermal.thermal;
t4 = foundation.thermal.thermal;
end
3. Define the state variables for your component. In your case, you have a state space model, so you will need to define t he state variables as follows:
variables
x = zeros(4, 1);
end
4. Define the state space matrices for your component. You can define them as follows:
parameters
A = [-1.0, 0.5, 0.0, 0.0; 0.5, -1.0, 0.5, 0.0; 0.0, 0.5, -1.0, 0.5; 0.0, 0.0, 0.5, -1.0];
B = [1.0, 0.0, 0.0, 0.0; 0.0, 1.0, 0.0, 0.0; 0.0, 0.0, 1.0, 0.0; 0.0, 0.0, 0.0, 1.0];
C = [1.0, 0.0, 0.0, 0.0; 0.0, 1.0, 0.0, 0.0; 0.0, 0.0, 1.0, 0.0; 0.0, 0.0, 0.0, 1.0];
D = [0.0, 0.0, 0.0, 0.0; 0.0, 0.0, 0.0, 0.0; 0.0, 0.0, 0.0, 0.0; 0.0, 0.0, 0.0, 0.0];
end
5. Define the equations for your component. You can define them as follows:
equations
t1 == x(1);
t2 == x(2);
t3 == x(3);
t4 == x(4);
der(x) == A * x + B * [p1.p; p2.p; p3.p; p4.p];
[output_1.p; output_2.p; output_3.p; output_4.p] == C * x + D * [p1.p; p2.p; p3.p; p4.p];
end
6. Connect your component to the rest of your Simulink model.
This example assumes that you have a thermal impedance model that can be represented by a state space model with four inputs and four outputs. You will need to modify the component to match the dimensions of your state space matrices and the number of input and output nodes in your model.
I hope this helps!
