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Control engineering

Sensitivity at one frequency

Magnitude of the sensitivity function at one frequency, from the magnitude and phase of the open-loop transfer function.

Ref
CTL-19
Rev
v1
Field
Control engineering
Result
|S|

S = 1/(1 + L) is the sensitivity function. It maps the reference to the tracking error and the plant disturbance to the output, so |S| below 1 means feedback reduces errors at that frequency, and above 1 means it amplifies them. |1 + L| is the distance from the point −1 to the open-loop frequency response on a Nyquist plot, so the closer the curve passes to −1, the larger |S|. S and the complementary sensitivity T = L/(1 + L) always add to 1.

Magnitude of the sensitivity function at one frequency, from the magnitude and phase of the open-loop transfer function. A value above 1 means feedback amplifies errors at that frequency rather than reducing them.

Calculator

Solve for
0.15
°
−180−90
  • Distance to the critical point, |1 + L|1.474
  • Complementary sensitivity, |T| = |L||S|1.357
  • Sensitivity in decibels−3.368 dB

What drives the result

Each variable is moved across its typical range while the others stay at the values above. The longest bar is the key driver.

Sensitivity magnitude () current value 0.6786
|L|Open-loop gain magnitudeKey driver
0.231.41
∠LOpen-loop phase
0.4471
  • At the defaults the sensitivity is 0.6786, so errors at this frequency are reduced to 67.9 % of what they would be without feedback. Moving the phase to −180° at |L| = 0.9, close to the critical point, gives |S| = 10.
  • Peak sensitivity is a robustness measure: the smallest distance of the Nyquist curve to −1 is the reciprocal of the largest |S|. Designers commonly aim to keep the peak of |S| below about 1.5 to 2 (3.5 to 6 dB).
Chart data as tables

Ranked variables

VariableTypical rangeLowest resultHighest resultSwing ()Local stepChange in result
|L| Open-loop gain magnitude0.1 to 5 0.22981.4111.181+10%−10.8 %
∠L Open-loop phase−180 to −90 °0.447210.5528+1.8 °−2.02 %

Sweep of Open-loop gain magnitude

Open-loop gain magnitudeSensitivity magnitude
0.11.073
0.71251.414
1.3251.065
1.9380.7047
2.550.5066
3.1630.3914
3.7750.3176
4.3880.2668
50.2298

Sweep one variable

Sensitivity magnitude ()Hover, touch, or use the arrow keys on the chart
0.20.40.60.811.21.4 12345 Open-loop gain magnitude now 0.6786

Variables and how each one contributes

|S|

Sensitivity magnitude

Result ·

What the equation gives you. Everything else feeds it.

|L|

Open-loop gain magnitude

· typical 0.1 to 5

The magnitude of the open-loop transfer function at the frequency of interest, as a plain ratio. At a phase well away from −180°, a larger |L| shrinks |S|. It is most dangerous when the phase is near −180° and |L| is close to 1. Raising it by 10 % (to 2.2) moves the result by −10.8 %, from 0.6786 to 0.6054.

∠L

Open-loop phase

° · typical −180 to −90

The phase of the open-loop transfer function in degrees. The loop is close to trouble as it nears −180°. A phase closer to −180° moves L towards −1 and increases |S|. Lowering it by 20° (to −155°) moves the result by +25.7 %, from 0.6786 to 0.8529.

Worked example with the values above

  1. L = 2∠−135° = −1.414 + j−1.414, so 1 + L = −0.4142 + j−1.414.
  2. Distance from −1: |1 + L| = √(0.1716 + 2) = 1.474.
  3. |S| = 1 / 1.474 = 0.6786.

Assumptions and limits

  • A stable closed loop with negative unity feedback, evaluated at a single frequency.
  • L(jω) is known to adequate accuracy at that frequency. Modelling error matters most near |L| = 1.

Common mistakes

  • Looking only at gain and phase margins at their crossover frequencies. The curve may come closer to −1 at another frequency.
  • Treating |S| < 1 as universally good: the waterbed effect means that suppressing sensitivity at some frequencies raises it at others.

Statistics and uncertainty

Near L = −1 small errors become large ones. For |L| = 0.9 at −180°, a ±10 % error in the gain gives |S| from 5.26 to 100. That is why a plant model that is accurate to 10 % is not enough to trust a loop that passes this close to −1.

Where it is used

  • Finding the frequencies at which a loop amplifies disturbances and measurement errors.
  • Relating the closeness of the Nyquist curve to −1 with the robustness of a design.

Maths you need

  • Complex numbers in polar form: magnitude and angle
  • Nyquist plot: the open-loop frequency response in the complex plane

Related formulas

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