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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
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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
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Control Theory Tutorial