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Chapter10
Nonlinearity
Realsystemsarenonlinear.Beforediscussingnonlineartheory,Ireviewthreereasons
why thecore theoryofcontrol focuseson linear analysis.
First, feedback compensates formodel uncertainty. Supposeweanalyze a feed-
back systembasedona linearmodel of dynamics, and the truemodel is nonlinear.
If the linearmodel captures essential aspects of the dynamics sufficiently, the true
nonlinearfeedbacksystemwilloftenhavethesamequalitativeresponsecharacteris-
ticsas themodeled linearsystem.AsVinnicombe(2001,p.xvii)emphasized:“One
of the key aims of using feedback is tominimize the effects of lack of knowledge
about a systemwhich is tobecontrolled.”
Second, the fundamental principles of control systems apply to both linear and
nonlinear dynamics. The comprehensive theory for linear systemsprovides insight
intononlinearsystems.Forexample,strongfeedbacksignalsoftenhelptominimize
error but can create instabilities. Controllers can be added at different points in a
system to filter signals or modulate inputs that drive processes. Primary goals of
analysis and design often emphasize stability, disturbance rejection, regulation or
tracking.Certaintradeoffsinevitablyarise.Integralcontrolsmoothsresponsetoward
a long-term target. Derivative control improves the speed of response by using a
simpleprediction.
Third, themain tools for the analysis and design of nonlinear systems typically
extend the tools developed for linear systems. For example, nonlinear systems are
approximately linear near a particular operating point. One can study the linear
approximation around that point, and then switch to an alternative linear approxi-
mation as the systemmoves to another operating domain. By piecing together the
different linear approximations in neighboring domains, one develops a sequence
of linear systems that together capturemuchof thenonlinear characteristics.Other
toolsofnonlinearanalysis typically leveragethedeepinsightsandmethodsof linear
analysis (SlotineandLi1991; Isidori1995;Khalil 2002).
This chapterpresents a fewbrief illustrationsofnonlinear control systems.
©TheAuthor(s)2018
S.A.Frank,ControlTheoryTutorial, SpringerBriefs inAppliedSciences
andTechnology,https://doi.org/10.1007/978-3-319-91707-8_10 79
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