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In control theory, a closed-loop transfer function is a mathematical function describing the net result of the effects of a feedback control loop on the input signal to the plant under control.

OverviewEdit

The closed-loop transfer function is measured at the output. The output signal can be calculated from the closed-loop transfer function and the input signal. Signals may be waveforms, images, or other types of data streams.

An example of a closed-loop block diagram, from which a transfer function may be computed, is shown below:

File:Closed Loop Block Deriv.png

The summing node and the G(s) and H(s) blocks can all be combined into one block, which would have the following transfer function:

<math>\dfrac{Y(s)}{X(s)} = \dfrac{G(s)}{1 + G(s) H(s)}</math>

<math>G(s) </math> is called the feed forward transfer function, <math>H(s) </math> is called the feedback transfer function, and their product <math>G(s)H(s) </math> is called the open-loop transfer function.

DerivationEdit

We define an intermediate signal Z (also known as error signal) shown as follows:

Using this figure we write:

<math>Y(s) = G(s)Z(s) </math>
<math>Z(s) =X(s)-H(s)Y(s) </math>

Now, plug the second equation into the first to eliminate Z(s):

<math>Y(s) = G(s)[X(s)-H(s)Y(s)]</math>

Move all the terms with Y(s) to the left hand side, and keep the term with X(s) on the right hand side:

<math>Y(s)+G(s)H(s)Y(s) = G(s)X(s)</math>

Therefore,

<math>Y(s)(1+G(s)H(s)) = G(s)X(s)</math>
<math>\Rightarrow \dfrac{Y(s)}{X(s)} = \dfrac{G(s)}{1+G(s)H(s)}</math>

See alsoEdit

ReferencesEdit