Electrical – Small-signal analysis of inductor/capacitor

circuit analysis

The small-signal model (SSM) of a resistor is obviously the same resistor. Here I got a problem with understanding what SSM of inductor and capacitor would look like. Here's my analysis and please correct my if you see something wrong in my analysis:

To find SSM of the inductor we develop our model and write small-signal voltage as follows:
\begin{eqnarray*}
v_L=L\ \frac{d i}{dt} \\
v_{SSM}= \frac{\partial v_L}{\partial i_L}.i_L\\
v_{SSM}=\frac {\partial (L\ \frac{di_L}{dt})}{\partial i_L}.i_L\\
v_{SSM}=\frac {\partial }{\partial i_L}(L\ \frac{di_L}{dt}).i_L=L\frac{d}{dt}(\frac {\partial i_L}{\partial i_L}).i_L\\
v_{SSM}=L \ \frac{d}{dt}(1).i_L=0
\end{eqnarray*}
So I infer that the SSM of the inductor is much the same as that of a voltage source, which is shorted out. Similarly for the SSM of the capacitor one can show, through the same kind of analysis, that
\begin{eqnarray*}
i_{SSM}=0,\
\end{eqnarray*}
which says that the SSM of a capacitor behaves like an open to our circuit model. Do you think that my analysis is wrong? Where is the bug in my reasoning?

Best

Best Answer

Your analysis is wrong.

Small signal models consist in a linearization of the non-linear equations describing a certain device (as a transistor or a diode). Of course, it makes sense only if such device is non-linear, i.e. described by a set of non-linear equations.

It is called small-signal analysis (and the models are called small-signal models) because they are only accurate if the signals you're considering have "small" amplitude (as the linear approximation of a non-linear equation can be used to make accurate calculations only if you consider quantities nearby the point around which your analysis is centered). Read about Taylor series for further info.

The reason for the linearization of a non-linear equation: the second is a lot harder to handle and/or to solve.

The equation you wrote for the capacitor and the inductor are already linear, i.e. there's no need for linearization.