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Deriving the equation of motion from the energy approach

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Section 1.4 Modeling and Energy Methods

• Provides an alternative way to determine the equation of motion, and an alternative way to calculate the natural frequency of a system

• Useful if the forces or torques acting on the object or mechanical part are difficult to determine

• Very useful for more complicated systems later (MDOF and distributed mass systems)

(45)

Potential and Kinetic Energy

The potential energy of mechanical systems U is often stored in

“springs” (remember that for a spring F = kx)

The kinetic energy of mechanical systems T is due to the motion of the “mass” in the system

(46)

Conservation of Energy

For a simple, conservative (i.e. no damper), mass spring system the energy must be conserved:

constant

or ( ) 0 T U

d T U dt

 

At two different times t1 and t2 the increase in potential energy must be equal to a decrease in kinetic energy (or visa-versa).

1 2 2 1

max max

and

U U T T

U T

(47)

Deriving the equation of motion from the energy approach

 

2 2

1 1

( ) 0

2 2

0

Since cannot be zero for all time, then 0

d d

T U mx kx

dt dt

x mx kx x

mx kx

(48)

Determining the Natural frequency directly from the energy If the solution is given by x(t)= Asin(ωt+ϕ) then the maximum

potential and kinetic energies can be used to calculate the natural frequency of the system

2 2

max max

2 2

2

1 1

( )

2 2

Since these two values must be equal

1 1

( )

2 2

n

n

n n

U kA T m A

kA m A k m k

m

 

 

   

(49)

Example 1.4.1

Compute the natural frequency of this roller fixed in place by a spring. Assume it is a conservative system (i.e. no losses) and rolls without slipping.

2 2

rot trans

1 1

and

2 2

TJTmx

(50)

Solution continued

2

Rot 2

max 2

2 2 2

max 2 2

max 2

max max max

2 2 2

2

1 2

The max value of happens at

( )

1 1 1

( )

2 2 2

The max value of happens at 1 Thus

2

1 1

2 2

n

n

n n

n

x r x r T J x r

T v A

A J

T J m A m A

r r

U x A

U kA T U

m J A kA

r

 

  

 

    

 

      

 

   

    

 

 

2 n

k m J

r

   

 

Effective mass

(51)

Example 1.4.2 Determine the equation of motion of the

pendulum using energy

(52)

Now write down the energy

2 2 2

0

2 2

1 1

2 2

(1 cos ), the change in elevation is (1 cos )

( ) 1 (1 cos ) 0

2

T J m

U mg

d d

T U m mg

dt dt

 

 

 

 

 

        

(53)

Using the small angle approximation for sine:

 

2

2

2

(sin ) 0

(sin ) 0 (sin ) 0

( ) sin ( ) 0

( ) ( ) 0

n

m mg

m mg

m mg

t g t

g g

t t

  

  

 

 

  

 

  

  

  

    

(54)

Example 1.4.4 The effect of including the mass of the

spring on the value of the frequency.

(55)

2

0

2

2

mass of element :

assumptions velocity of element : ( ),

1 (adds up the KE of each element) 2

= 1

2 3

1 1 1

2 2 3 2

s

dy

s spring

s

s

mass tot

dy m dy

dy v y x t

m y

T x dy

m x

T mx T m m





2 2 2

max

2 max

1

2 3

1 2

3

s

n

n

s

x T m m A

U kA

k m m

• This provides some simple design and modeling guides

(56)

What about gravity?

(57)

2 2

0 from static equilibiurm

Now use ( ) 0

1 1

( ) 0

2 2

( )

( ) ( ) 0

0

d T U dt

d mx mgx k x

dt

mxx mgx k x x x mx kx x k mg

mx kx

 

 

         

    

     

  

• Gravity does not effect the equation of motion or the natural frequency of the system for a linear system as shown previously with a force balance.

(58)

Lagrange’s Method for deriving equations of motion.

Again consider a conservative system and its energy.

It can be shown that if the Lagrangian L is defined as

Then the equations of motion can be calculated from

0 (1.62)

d L L

dt q q

Which becomes

0 (1.63)

d T T U

dt q q q

    

  

    

 

Here q is a generalized coordinate

L = T - U

(59)

Example 1.4.7 Derive the equation of motion of a spring mass system via the Lagrangian

2 2

1 1

and

2 2

Tmx Ukx

Here q = x, and and the Lagrangian becomes

2 2

1 1

2 2

L   T U mxkx Equation (1.64) becomes

 

0 0

0

d T T U d

mx kx dt x x x dt

mx kx

    

(60)

Example

2 2

2

2

1 1

(1 cos )

2 2

sin (1 cos )

4

U kx kx mg

k mg

 

(61)

The Kinetic energy term is :

2 2 2

0

1 1

2 2

TJ   m

Compute the terms in Lagrange’s equation:

2

2

2 2

2

0

sin (1 cos ) sin cos sin

4 2

d T d

m m

dt dt

T

U k k

mg mg

 

 

Lagrange’s equation (1.64) yields:

2

2 sin cos sin 0

2

d T T U k

m mg

dt q q q

(62)

Does it make sense:

2 2

0 if 0

sin cos sin 0

2

k

mk   mg

  

Linearize to get small angle case:

2

2 0

2

2 0

2 2

n 2

m k mg

k mg m

k mg m

 

What happens if you linearize first?

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