Laplace in practice: differential equations, circuits and the transfer function
Solving differential equations, impedances in the s domain, the transfer function and feedback, the second-order system, overshoot and settling time.
With the Laplace transform a differential equation with its initial conditions becomes an algebraic equation, solved with basic arithmetic. In this lesson we use it to solve differential equations, to analyse circuits directly in the
domain and to study the transfer function and the step response of second-order systems, the most common in electronics and control.
Solving a differential equation
The method has three steps: transform the equation, solve for
, invert.
Example.
![]()
Transforming, with
and
:
![]()
Partial fractions:
, with
,
,
. So
![]()
Check:
,
, and in steady state
, as the final value theorem says:
. No constants to find at the end: the initial conditions entered the calculation from the start.
Circuits in the s domain
Transforming the component laws, with zero initial conditions:
| Component | Time | Impedance | |
|---|---|---|---|
| resistor | |||
| inductor | |||
| capacitor |
They are the impedances of the AC lesson with
in place of
. The circuit is solved with the generalised Ohm’s law, dividers and Kirchhoff’s laws, as if it were made of resistors. Non-zero initial conditions are represented by extra sources: a capacitor charged to
becomes the impedance
in series with a source
.
Example: the RC low-pass. The divider between
and
gives
![]()
With a step input,
, one gets
and therefore
: the capacitor charging, in three lines.
The transfer function
For a linear system with zero initial conditions, the ratio of the output and input transforms does not depend on the input:
![]()
It is the transfer function, and it is the Laplace transform of the impulse response. It holds the whole system:
- its poles give the natural modes and stability;
- evaluated at
it gives the frequency response:
is the gain and
the phase shift at each frequency, from which Bode plots are drawn; - multiplied by the input transform it gives the output.
Cascading systems means multiplying transfer functions. With negative feedback, a block
with feedback
becomes
![]()
the formula behind feedback op-amp amplifiers and every control system.
The second-order system
A great many systems (the RLC circuit, a suspension, a hard disk motor) behave like
![Rendered by QuickLaTeX.com \[ H(s) = \frac{\omega_0^2}{s^2 + 2\zeta\omega_0 s + \omega_0^2} \]](https://www.electronics-engineering.com/wp-content/ql-cache/quicklatex.com-e85d87c109e0aca9572c334d25d4fcda_l3.png)
where
is the natural angular frequency and
the damping ratio. The poles are
![]()
real and distinct if
, coincident if
, complex conjugate if
.

,
,
,
and
. With low damping the response overshoots the final value and rings for a long time; with
it arrives without overshooting; with high damping it is slow.For
the step response is
![Rendered by QuickLaTeX.com \[ y(t) = 1 - \frac{e^{-\zeta\omega_0 t}}{\sqrt{1 - \zeta^2}}\sin\!\left(\omega_d t + \varphi\right),\qquad \omega_d = \omega_0\sqrt{1 - \zeta^2},\quad \cos\varphi = \zeta \]](https://www.electronics-engineering.com/wp-content/ql-cache/quicklatex.com-248d83d7417dfd37958d480d9eb6b783_l3.png)
The parameters found in specifications:
- the maximum overshoot,
: 37% with
, 4.6% with
, zero with
; - the 2% settling time, about
; - the rise time, inversely proportional to
.
The value
is a classic compromise: a fast response with an overshoot of a few per cent. It is the damping of a second-order Butterworth filter (
), the one with the flattest possible frequency response.
Example. A series RLC with the output across the capacitor has
, so
and
. With
mH and
µF,
rad/s (5 kHz); to get
you need
Ω.





