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, .