Closed-loop transfer function

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.

Overview

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:

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:

Y(s)X(s)=G(s)1+G(s)H(s){\displaystyle {\dfrac {Y(s)}{X(s)}}={\dfrac {G(s)}{1+G(s)H(s)}}}

G(s){\displaystyle G(s)} is called the feed forward transfer function, H(s){\displaystyle H(s)} is called the feedback transfer function, and their product G(s)H(s){\displaystyle G(s)H(s)} is called the open-loop transfer function.

Derivation

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

Using this figure we write:

Y(s)=G(s)Z(s){\displaystyle Y(s)=G(s)Z(s)}
Z(s)=X(s)H(s)Y(s){\displaystyle Z(s)=X(s)-H(s)Y(s)}

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

Y(s)=G(s)[X(s)H(s)Y(s)]{\displaystyle Y(s)=G(s)[X(s)-H(s)Y(s)]}

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

Y(s)+G(s)H(s)Y(s)=G(s)X(s){\displaystyle Y(s)+G(s)H(s)Y(s)=G(s)X(s)}

Therefore,

Y(s)(1+G(s)H(s))=G(s)X(s){\displaystyle Y(s)(1+G(s)H(s))=G(s)X(s)}
Y(s)X(s)=G(s)1+G(s)H(s){\displaystyle \Rightarrow {\dfrac {Y(s)}{X(s)}}={\dfrac {G(s)}{1+G(s)H(s)}}}

See also

References