AME-558
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Steady state errorsConsider the typical control system shown below.

Error can be defined in different ways. In unity-feedback systems (H(s)=1), the most natural definition of error is the difference of the reference input and the controlled system output, . In general, it is usual to consider the error signal to be the difference between the input R(t) and the feedback signal F(t), represented in the s-domain by the in the block diagram above.
"Steady-state error" is best defined for stable linear systems subject to piecewise constant, step inputs, because all signals of such systems go to steady-state values asymptotically. The final value theorem can be used to easily find the steady-state value of any signal, including error.
Considering a signal with associated Laplace transform , the final value theorem says that if a steady-state value is reached (which requires stability), that value is
For example, consider a simple proportional controller of a third-order system.

The open-loop transfer function of this system is
The closed-loop transfer function of this system is
Consider a step input of the reference . The corresponding Laplace transform is .
The output is thus
The steady-state output is then
Finally, the steady-state error (since H=1) is
The steady-state error is zero, independently of . This is because of the term in the open-loop transfer function. The steady-state error would have been nonzero had the open-loop transfer function been , for example.
It is also possible to look at the steady-state bounds of error assuming more complex inputs. This is typically done using frequency response methods.
What's next?
Go on to page 4, where we'll look at transient response.