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Response of MDOF systems

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(1)

Response of MDOF systems

Degree of freedom (DOF): The minimum number of

independent coordinates required to determine completely the positions of all parts of a system at any instant of time.

Two DOF systems Three DOF systems

(2)

The normal mode analysis (EOM-1)

Example: Response of 2 DOF system

m 2m

k k k

x1 x2

FBD kx1 m k(x1-x2) 2m kx2

EOM kx1 k(x1 x2) mx1 2 2

2

1 ) 2

(x x kx mx

k

In matrix form, EOM is

0 0 2

2 2

0

0

2 1 2

1

x x k

k

k k

x x m m

(3)

EOM -2 (example)



 

 



 



 

 



 



 

0 0 2

2 2

0

0

2 1 2

1

x x k

k

k k

x x m

m

 EOM 

M K x F

) ( )

( )

( )

(t Cx t Kx t F t x

M     In general form

M is the inertia of mass matrix (n x n) C is the damping matrix (n x n)

K is the stiffness matrix (n x n)

F is the external force vector (n x 1) x is the position vector (n x 1)

(4)

Synchronous motion

From observations, free vibration of undamped MDOF system is a synchronous motion.

• All coordinates pass the equilibrium points at the same time

• All coordinates reach extreme positions at the same time

• Relative shape does not change with time

2

1 x

x constant

time

x1 x2 x1

x2

No phase diff. between x1 and x2

)

1sin(

1 A t x

)

2 sin(

2 A t

x

) ( 1

Aej t

) ( 2

A ej t or

or

(5)

Response of 2DOF system (example-1)

0 0 2

2 2

0

0

2 1 2

1

x x k

k

k k

x x m m

EOM

Synchronous motion

Sub. into EOM

0 0 2

2 2

0

0

2 1 2

1 2

2

x x k

k

k k

x x m m

0 0 2

2 2

2 1 2

2

A A m

k k

k m

k

0 Kx

Mx  

2 (t) (t)

0 x

M

K  ) ( ) 

( 2 t

2 0 2

2

2 2

m k

k

k m

k det(K 2M)  0 Characteristic equation (CHE)

)

1sin(

1 A t x

)

2 sin(

2 A t

x

) ( 1

Aej t

) ( 2

A ej t or

or

(6)

Response of 2DOF system (example-2)

2 0 2

2

2

2

m k

k

k m

k 0

2 3 3

2 2

4

m

k m

k

m 634 k .

1 0

m

366 k .

2 2

CHE

Solve the CHE Natural frequencies

of the system

;

0 0 2

2 2

2 1 2

2

A A m

k k

k m

k

k

m k

m k

k A

A 2

2 2

1 2 2

2

1

731 . 0 )

634 . 0 ( 2

) 1 (

2

1





m m k k

k A

A

2

73 . 2 )

366 . 2 ( 2

) 2 (

2

1





m m k k

k A

A From

(7)

Response of 2DOF system (example-3)

1

731 . 0

) 1 (

2

1 



A

A 2.73

) 2 (

2

1 



A

Amp. ratio Amp. ratio A





 

 1

731 .

) 0

1(x





 

 1

73 . ) 2

2(x

The first mode shape The second mode shape

0.731 1 1

2

same direction Opposite

direction

(8)

Response of 2DOF system (example-4)

In general, the free vibration contains both modes

simultaneously (vibrate at both frequencies simultaneously)

) 1 sin(

73 . ) 2

1 sin(

732 . 0

2 2

2 1

1 1

2

1



c t c t

x x

2 1

2

1, c , ,

c are constants (depended on initial conditions)

(9)

Initial conditions (1)

) 1 sin(

73 . ) 2

1 sin(

732 . 0

2 2

2 1

1 1

2

1



c t c t

x x

4 2 )

0 (

) 0 (

2 1

x x

0 0 )

0 (

) 0 (

2 1

x x

Initial conditions and

) 1 cos(

73 . ) 2

1 cos(

732 . 0

2 2

2 2 1

1 1

1 2

1



c t c t

x x

Velocity response

4 2 )

0 (

) 0 (

2 1

x x

2 2

1

1 sin

1 73 . sin 2

1 732 . 0 4

2



c c

0 0 )

0 (

) 0

1( x x

2 2

2 1

1

1 cos

1 73 . cos 2

1 732 . 0 0

0



c c

(10)

Initial conditions (2)

2 2

1

1 sin

1 73 . sin 2

1 732 . 0 4

2



c c

2 2

2 1

1

1 cos

1 73 . cos 2

1 732 . 0 0

0



c c

4 Eqs.,

4 unknowns

Solve for four unknowns ,

732 .

1 3

c c2 0.268, 1 2 /2

2) 1 sin(

73 . 268 2

. 0 2)

1 sin(

732 . 732 0 .

3 1 2

2

1



t t

x x

The response is

t x t

x

2 1

2

1 cos

268 . 0

732 . cos 0

732 . 3

732 .

2



(11)

Initial conditions (3)

) 1 sin(

73 . ) 2

1 sin(

732 . 0

2 2

2 1

1 1

2

1



c t c t

x x

2 464 . 1 )

0 (

) 0 (

2 1

x x

0 0 )

0 (

) 0 (

2 1

x x

(a) Initial conditions and



1 73 . 2 )

0 (

) 0

1( x

x

0 0 )

0 (

) 0

1( x

x

(b) Initial conditions and

Try to do

(12)

Summary (Free-undamped) (1)

0 Kx

x

M(t)  (t) 

The motion is synchronous:

constant  and

0 Kx

Mx  

2 (t) (t) 0 x

M

K  ) ( ) 

( 2 t

Eigen value problem

0 )

det(K 2M

Characteristics equation

2

n Eigen value

nN n

n  

1, 2,, N natural freq.

0 x

M

K ni ) i

( 2

xi Eigen vector )

sin(

A t

x or Aej(t)

N mode shapes

xN

x

x1, 2,, 1 EOM

2

3

4 5

Direct Method

(13)

Summary (Free-undamped) (2)

Free-undamped response

) sin(

) sin(

) sin(

)

(tx1A11t 1x2A22t 2xN ANNt N

x

N

i

i i

i

iA t

t

1

) sin(

)

( x

x 6

where A and  are from initial condition x(0) and v(0)

Direct Method

(14)

Example

k1

k2

x

l2

l1

Determine the normal modes of vibration of an automobile simulated by simplified 2-dof system with the following numerical values

lb

3220 W

ft 5 .

1 4

l k1 2400 lb/ft

ft 5 .

2 5

l k2 2600 lb/ft

ft

4

2 r g r JC W

(15)

Rigid body mode

• Rigid body mode is the mode that the system moves as a rigid body.

• The system moves as a whole without any relative motion among masses.

• There is no oscillation.

n

 0

(16)

Forced harmonic vibration (1)

Example

EOM F t

x x k

k

k k

x x m

m

sin

0 0

0 1

2 1 22

21

12 11

2 1 2

1

System is undamped, the solution can be assumed as

X t X x

x

sin

2 1 2

1

Sub. into EOM

0

1 2

1 2

2 22

21

12 2

1

11 F

X X m

k k

k m

k

 

) 0

( 1

2

1 F

X Z X

Simpler notation,

 

) 0

( 1 1

2

1 F

X Z X

(17)

Forced harmonic vibration (2)

   

) 0 (

) ( adj ) 0

( 1 1 1

2

1 F

Z F Z

X Z X

) )(

( )

( m1m2 12 2 22 2 Where Z

1 and 2 are natural frequencies

) 0 (

1 1

2 1 11

21

12 2

2 22

2

1 F

m k

k

k m

k X Z

X

The amplitudes are

) )(

(

) (

2 2

2 2

2 1 2 1

1 2 2 22

1

m m

F m

X k

) )(

( 2 2 2 2

1 21

2

m m

F X k

(18)

Forced harmonic vibration (3)

) )(

(

) 2

(

2 2

2 2 2

1 2

1 2

1

m

F m

X k

) )(

( 12 2 22 2

2

1

2

m X kF

m m

k k k

x1 x2

F1sint

F t x

x k k

k k

x x m

m

sin

0 2

2 0

0 1

2 1 2

1

m k m

k 3

, 2

1

EOM

Force response of a 2 DOF system

0 1 2 3

0 1 2 3 4 5

-1 -2 -3 -4 -5

F Xk

1

1 2

F k X

1 1

F k X

1

2

Same direction

Opposite direction

(19)

Solving methods

(20)

Modal analysis

• is a method for solving for both transient and steady state responses of free and forced MDOF systems through

analytical approaches.

• Uses the orthogonality property of the modes to

“decouple” the EOM breaking EOM into independent SDOF equations, which can be solved for response separately.

Introduction

(21)

Coordinate coupling

k1 k2

l2

l1

mg

x Ref.

)

( 1

1 xl k

)

( 2

2 xl k

k1 l1 mg k2

x1 Ref.

1 1x k

) ( 1

2 x l k

0 0 0

0

2 2

1 1 2 2 2

1 x

l k l k l k l k

l k l k k

k x

J m

 

0

1 0

2 2 2

1 1

1 x

l k l

k

l k k

k x

J ml

ml m

(22)

Concept of modal analysis

0 ) ( 0

0

2 2 2 2 1 1 1 1 2 2

1 1 2 2 2

1 x F t

l k l k l k l k

l k l k k

k x

J m

Mx(t)Kx(t)  F(t)

) (

) ( 0

0 1

0 0 1

2 1 2

1 2

2 2

1 2

1

t N

t N r

r r

r

n n

r(t) Λr(t)  N(t)

EOM in physical coordinate (Coordinates are coupled)

EOM in modal coordinate (Independent SDOF equations)

Solve for r(t)

Transform r(t) back to x(t)

(23)

Orthogonality

x = eigen vector (vector of mode shape)

TMxM

x

j

i i

T

jMx  0, 

x xTjKxi  0, ij

TKxK

x

If M and K are symmetric and then xi and xj are said to be “orthogonal” to each other. ni nj

(24)

Normalization

u = normalized eigen vector (respect to mass matrix)

1

i T

i Mu

u

j

i i

T

jMu  0,  u

0 x

M

K  ) ( ) 

( 2 t

From eigen value problem

constant is

, C

C i

i x

u

0 u

M

K  ) ( ) 

( 2 t

or Kui  i2Mui

2 2

i i

T i i i

T

i Ku   u Mu  

u

(25)

Modal matrix

Modal matrix is the matrix that its columns are the mode shape of the system

u u un

U1 2  Then









1 0

0

0 1

0

0 0

1

I

MU UT









2 2

2 2

1

0 0

0 0

0 0

nN n

n T

KU

U

Λ (Spectral matrix)

(26)

Modal analysis (undamped systems)-1

1. Draw FBD, apply Newton’s law to obtain EOM 2. Solve for natural frequencies through CHE 3. Determine mode shapes through EVP

4. Construct modal matrix (normalized)

Procedures

) ( )

( )

(t Kx t F t x

M 0 x

M

K ) ( )

( 2 t

0 ) det(K 2M

u u un

U 1 2 I

MU UT

Λ KU

UT

5. Perform a coordinate transformation x(t) Ur(t) )

( )

( )

(t Kx t F t x

M MUr(t)KUr(t) F(t)

) ( )

( )

(t T t T t

TMUr U KUr U F

U

) ( )

( )

(t Λr t UTF t r

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