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3.3 Proportional, Integral, andDerivativeControl 25
Perfect trackingofaconstantreferencesignalrequiresapureintegrator term,1/s.
Aconstant signal has zero frequency, s=0.To tracka signal perfectly, the system
transferfunction’sgainmustbeonesothattheoutputequalstheinput.Forthesimple
closed loop in Eq.3.4, at zero frequency,G(0)must be one. The tracking error is
1−G=1/(1+L). The error goes to zero as the gain of the open loop goes to
infinity,L(0)→∞.A transfer function requires a term1/s to approach infinity as
s goes tozero. Ingeneral, highopen loopgain leads to lowtrackingerror.
Third,wecanaddderivativecontrolbyincludingthetermkds.Wecanunderstand
why this term differentiates the input term by following the same steps as for the
analysis of integration.MultiplyingEq.2.5 by s increases the numerator’s order of
its polynomial in s. That increase in the exponents of s corresponds to an increase
in the order of differentiation for each termon the right side of Eq.2.4. Thus, the
original input term,u(t), becomes thederivativewith respect to time, u˙(t).
Differentiatingtheinputcausesthesystemtorespondtothecurrentrateofchange
in the input.Thus, the systemresponds toapredictionof the future input, basedon
a linear extrapolationof the recent trend.
This leading, predictive response enhances sensitivity to short-term, high-
frequencyfluctuations and tends to block slow, low-frequency input signals. Thus,
differentiationactsasahigh-passfilterof theinputsignal.Atermsuchass+amul-
tipliessignalsbya for low-frequencyinputsandmultipliessignalsbytheincreasing
valueofs+a for increasinglyhigh-frequency inputs.Differentiatorsmakesystems
very responsive, but also enhance sensitivity to noisyhigh-frequencyperturbations
and increase the tendency for instability.
Abasicproportional, integral, andderivative (PID)controllerhas the form
C(s)= kp+ ki
s +kds= kds 2+kps+ki
s . (3.6)
PIDcontrollers arewidelyusedacrossall engineeringapplications.Theywork rea-
sonablywell formanycases, theyarerelativelyeasytounderstand,andtheirparam-
eters are relativelyeasy to tune forvarious tradeoffs inperformance.
3.4 SensitivitiesandDesignTradeoffs
Figure3.2ashowsabasicfeedbackloopwiththreeinputs: thereferencesignal,r, the
loaddisturbance,d,andthesensornoise,n.Howdothesedifferentsignals influence
the error between the reference signal and the systemoutput? In otherwords, how
sensitive is the systemto thesevarious inputs?
To derive the sensitivities, define the error in Fig.3.2a as r−η, the difference
between thereference input,r, and theprocessoutput,η (ÅströmandMurray2008,
Sect.11.1).Toobtainthetransferfunctionbetweeneachinputandoutput,weusethe
rule fornegativefeedback:Thetransfer functionbetweenthe inputandoutput is the
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