MATLAB Finding Damped Frequency of a State Space Matrix Equation with MATLAB

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To find the damped frequency of a state space matrix equation in MATLAB, one must derive the transfer function from the state space representation. The state space equation is given as x'=[A]x+[B]u, where [A] is a 2x2 matrix and [B] is a 1x2 matrix. Extracting the mass, stiffness, and damping matrices from [A] is crucial for calculating the natural frequency and damping ratio. The damped frequency can then be determined using basic vibration equations. Understanding that multiple state-space representations may exist for the same system is important for accurate calculations.
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Matlab, how to find damped frequency of a sate space matrix euqation?

Hello:

I am working on a tyre mechanic problem basically it just a vibration problem so far I have dervied the the state space equation which is in the form

x'=[A]x+u

[A] is 2x2 matrix, is a 1X2 matrix (u could be treated as 0) and they are both known

but I don't know how to calculate the damped frequency. Anybody could help please?
 
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How did you define your states? If you know (or can extract from your A matrix, based on how you defined your states) your mass, stiffness, and damping ratio you can calculate it using some basic vibration equations. Try googling "damped natural frequency." The wikipedia article shows how to calculate it based on the undamped natural frequency and damping ratio.

-Kerry
 
By the way - it sounds like you've probably got a second order system :wink:
 
KLoux said:
By the way - it sounds like you've probably got a second order system :wink:

Ya you are right it is a second order. Thanks dude. I know that if I have the mass, stffness and damping matrix can work out the natural frequncy and damping ratio so it is the damped frequency but the problem is I couldn't extract the M,K,C matrix from [A]. I have seen the damp function in matlab. I think what I need to do it is to derive the transfer function of the state space equation.
 
If you can derive the transfer function yourself, that should give you what you need. Be aware that there can be multiple state-space representations for the same system depending on how you construct your state vector.

-Kerry
 

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