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4.5 Sensitivities inBodeGainPlots 35
4.5 Sensitivities inBodeGainPlots
Figure4.5illustratesthesensitivitiesofthesystemerroroutput,r−η, toinputsfrom
the reference, r, sensor noise, n, and load disturbance, d, signals, calculated from
Eq.3.9.Figure3.2a shows the inputs and loopstructure.
Thebluecurveofpanel(a)showstheerrorsensitivity tothereferenceinput.That
sensitivity is approximately themirror image of the systemoutput response to the
reference input, as shown in Fig.4.4e (note the different scale). The duality of the
error response and the system response arises from the fact that the error is r−η,
and the systemresponse isη.
Perfect trackingmeans that the outputmatches the input, r =η. Thus, a small
error corresponds to a lowgain of the error in response to input, as occurs at low
frequencyfor thebluecurveofFig.4.5a. In thesameway,asmallerrorcorresponds
toagainofonefortherelationbetweenthereferenceinput,r,andthesystemoutput,
η, asoccursat lowfrequency for thebluecurveofFig.4.4e.
Thenoisesensitivity in thegreencurveofFig.4.5ashowsthat thesystemerror is
sensitivetolow-frequencybiasinthesensormeasurements,y,ofthesystemoutput,η.
Whenthesensorproducesalow-frequencybias, thatbiasfeedsbackintothesystem
and creates a bias in the error estimate, thus causing an error mismatch between
the reference input and the systemoutput. Inotherwords, the systemis sensitive to
errorswhen thesensor suffers low-frequencyperturbations.ThePIDsystemrejects
high-frequencysensornoise,leadingtothereducedgainathighfrequencyillustrated
by thegreencurve.
Thedisturbance load sensitivity in the red curveofFig.4.5a shows the lowsen-
sitivityof thisPIDfeedbacksystemtoprocessvariations.
This PID feedback system is very robust to an altered underlying process, as
shown in earlier figures. Here, Fig.4.5b illustrates that robustness by showing the
relativelyminorchangesinsystemsensitivitieswhentheunderlyingprocesschanges
0.01 0.1 1 10 100 1000
-100
-75
-50
-25
0
0.01 0.1 1 10 100 1000
-100
-75
-50
-25
0
(a) (b)
Fig.4.5 Bodegainplots for theerroroutput,r−η, in response toreferenceinput,r (blue), sensor
noise,n (green),andloaddisturbance,d (red),fromEq.3.9.ThesystemsarethefullPID-controlled
feedback loops as inFig.3.2a,withno feedforwardfilter.ThePIDcontroller is given inEq.4.3.a
Systemwith thebaseprocess,P, fromEq.4.1.bSystemwith thealteredprocess, P˜, fromEq.4.2
Control Theory Tutorial
Basic Concepts Illustrated by Software Examples
- Titel
- Control Theory Tutorial
- Untertitel
- Basic Concepts Illustrated by Software Examples
- Autor
- Steven A. Frank
- Verlag
- Springer Open
- Ort
- Irvine
- Datum
- 2018
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-319-91706-1
- Abmessungen
- 15.5 x 23.5 cm
- Seiten
- 114
- Schlagwörter
- Control Theory --- Engineering Design Tradeoffs, Robust Control, Feedback Control Systems, Wolfram
- Kategorie
- Informatik