Consider again DC motor model with no disturbance (left side is open-loop version, right side is closed-loop version):

In the “nominal” situation, we have the motor with DC gain of , and the overall transfer function, either open-loop or closed-loop, has some other DC gain, which we call .

Suppose that, due to modeling error, changes in operating conditions, etc, the motor gain changes so that we have

This will cause a perturbation in the overall DC gain:

The Bode sensitivity is defined as

Motor Example

Open-loop

In the nominal case, we have .

In the perturbed case, we have:

Thus, the sensitivity is

which means that a 5% error in will cause a 5% error in .

Closed-loop:

In the nominal case, we have

In the perturbed case, we have

How do we compute ? We can use a Taylor expansion:

In our case:

which gives

Therefore, we have

which finally gives us the sensitivity:

From this we can conclude that for high gains , we get smaller relative error due to parameter variations in the plant model, .