MHB RLC Series Circuit: State Equations

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The discussion focuses on deriving state equations for an RLC series circuit using capacitor voltage \(v_c(t)\) and inductor current \(i_L(t)\) as state variables. Participants clarify that the governing equations should express these states, leading to the formulation \(v_c(t) + R i_L(t) + \frac{di_L(t)}{dt} = e(t)\) and \(\frac{dv_c(t)}{dt} = C i_L(t)\). The state transition matrix is also discussed, with a specific matrix derived for the system. Questions arise regarding the definitions of \(\mathbf{B}\) and \(\mathbf{U}(s)\), particularly how the factor \(\frac{2}{s}\) emerges in the Laplace Transform context. The conversation emphasizes the importance of understanding the relationships between state variables and external inputs in circuit analysis.
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Using the capacitor voltage \(v_c(t)\) and the inductor current \(i_L(t)\) as states, write the state equations for the RLC series circuit shown in the figure.

mc8hQL5.png


We can write that \(e(t) = iR + \frac{di}{dt} + \frac{1}{C}\int i(t)dt\). I am not sure with what it wants when it says to write it as states.
 
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Shouldn't it be $e(t) = iR + L \frac{di}{dt} + \frac{1}{C}\int i(t)dt?$ I think when they say "state", they mean that the DE should be in that unknown variable. So if $i_{L}$ is the state variable, write the DE with $i_{L}$ as the unknown function.
 
dwsmith said:
Using the capacitor voltage \(v_c(t)\) and the inductor current \(i_L(t)\) as states, write the state equations for the RLC series circuit shown in the figure.

mc8hQL5.png


We can write that \(e(t) = iR + \frac{di}{dt} + \frac{1}{C}\int i(t)dt\). I am not sure with what it wants when it says to write it as states.

In electric egeneering are called states of a network somewhat is related to the 'energy' contained in the reactive elements, i.e. the voltage across a capacitors and the current in inductors. In Your case the network has two states, i.e.the two unknown variables are $v_{c} (t)$ and $i_{L} (t)$. The equation governing the network are...

$\displaystyle v_{c} (t) + R\ i_{L}(t) + i_{L}^{\ '} (t) = e(t)$

$\displaystyle v_{c}^{\ '} (t) = C\ i_{L} (t)\ (1)$

Kind regards

$\chi$ $\sigma$
 
Last edited:
I have determined my state transition matrix as
\[
\Phi(s) =
\frac{1}{(s + 1)(s + 2)}
\begin{pmatrix}
s & -1\\
2 & s + 3
\end{pmatrix}\Rightarrow
\varphi(t) = e^{-t}
\begin{pmatrix}
2e^{-t} - 1 & e^{-t} - 1\\
2(1 - e^{-t}) & 2 - e^{-t}
\end{pmatrix}.
\]
Then
\[
\begin{pmatrix}
i_L(s)\\
v_c(s)
\end{pmatrix} = \Phi(s)\mathbf{B}\mathbf{U}(s)
\]
What is \(\mathbf{B}\) and \(\mathbf{U}(s)\).
Additionally, I have that
\[
\begin{pmatrix}
\frac{di_L(t)}{dt}\\
\frac{dv_c(t)}{dt}
\end{pmatrix} =
\begin{pmatrix}
\frac{-R}{L} & \frac{-1}{L}\\
\frac{1}{C} & 0
\end{pmatrix}
\begin{pmatrix}
i_L(t)\\
v_c(t)
\end{pmatrix}
+
\begin{pmatrix}
\frac{1}{L}\\
0
\end{pmatrix}e(t) \qquad (*)
\]
where \(R = 3\), \(L = 1\), and \(C = \frac{1}{2}\).

The solution has
\[
\Phi(s)\mathbf{B}\mathbf{U}(s) =
\begin{pmatrix}
\frac{s}{(s+1)(s+3)}\\
\frac{2}{(s+1)(s+3)}
\end{pmatrix}
\frac{2}{s}
\begin{pmatrix}
e^{-s} & -e^{-2s}
\end{pmatrix}
\]
Therefore, \(\mathbf{U}(s) = \frac{2}{s}
\begin{pmatrix}
e^{-s} & -e^{-2s}
\end{pmatrix}\) where does this come from?

If we take the Laplace Transform of \((*)\), we end up with the factor \(\frac{2}{s}\). That is, we have
\begin{gather}
I(s) = \frac{E(s) - V(s)}{s + 3}\\
V(s) = \frac{2}{s}I(s)
\end{gather}
but that still leaves the question where does \(U(s)\) come from?
 
Last edited:
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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