Top Banner
Linearization of Nonlinear Mathematical Models
12

Linearization of Nonlinear Mathematical Models

Oct 01, 2021

Download

Documents

dariahiddleston
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical

Models

Page 2: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

Graphical Interpretation

( ) point operating,:let −fxP

( ) point typical,:Alet −fx

l1 – line connecting point P,A

( ) ( ) xtxtx −= ( ) ( ) ftftf −=และ

Page 3: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

Graphical Interpretation

Let point A very is closed to point P.Thus, value Δx and Δf have very small value.We can be estimatedslope of line l1 and l2 as equal.

xxdx

dfm

=

=

Page 4: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

Graphical Interpretation

( )xxmff −=− xmf =

Page 5: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

( )

( ) ( ) ( ) +−+−+=

=

2

2

2

!2

1 xx

dx

fdxx

dx

dfxf

xfy

Consider input x(t) and output y(t). Thus, relationship between input and output are

( )xfy =

Condition: mean values are and presents in Taylor series formyx,

Eq.1

Page 6: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

( )xxmyy −+=

( )

xxdx

dfm

xfy

=

=

=

where derivativeIf is very small value. We aren’t considered high order term, thus

2 2, , are evaluated at df dx d f dx x x=

when

Eq.2

x x−

Page 7: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

( )xxmyyy −==−

Eq. 2 rewrites as

xx −yy −Term directly change to .Thus, eq.3 is linear equation for nonlinear equation

Eq.3xmf =

Page 8: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

( )21, xxfy =

Consider output y(t) as function of input x1 and x2

Eq.4

( ) ( ) ( )

( ) ( )( )

( )

+

−−

+−

+

+−

+=

2

222

2

2

2211

21

22

112

1

2

22

2

11

1

21

2!2

1

,

xxx

f

xxxxxx

fxx

x

f

xxx

fxx

x

fxxfy

Page 9: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

( ) ( )222111 xxmxxmyyy −+−==−

Consider nonlinear system with output y(t) and function input of x1 and x2

( )

2211

2211

,2

2

,1

121 , ,,

xxxx

xxxx

x

fm

x

fmxxfy

==

==

=

==

when

Page 10: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

Example: Pendulum oscillator modelTorque & angular displaement

sinMglT =

Relationship between T and such as nonlinear system

Page 11: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

:Pendulum oscillator model

( )00

0

sin

=

MgLTT

Select operating point at 0= 0. Thus, linear approximation is

when T0=0, Thus

( )( ) MgLMgLT =−= 0cos

Page 12: Linearization of Nonlinear Mathematical Models

Linearization of Nonlinear Mathematical Models

:Pendulum oscillator model

MgLT =

Linearization for pendulum oscillator model in the range

( ) ( )4 4 −