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Copyright © 2017 Hassan Sowidan
ECE 330
POWER CIRCUITS AND ELECTROMECHANICS
LECTURE 19
DYNAMICS OF LUMPED MECHANICAL SYSTEMS
Acknowledgment-These handouts and lecture notes given in class are based on material from Prof. Peter
Sauer’s ECE 330 lecture notes. Some slides are taken from Ali Bazi’s presentations
Disclaimer- These handouts only provide highlights and should not be used to replace the course textbook.
10/24/2017
Copyright © 2017 Hassan Sowidan
DYNAMICS OF LUMPED MECHANICAL SYSTEMS
So far we have studied the electrical subsystem and its
interaction with the lossless magnetic field system, which
resulted in the force of electric origin acting on the
mechanical system. We next study the dynamics of the
mechanical system and finally get the overall dynamic
model.
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Copyright © 2017 Hassan Sowidan
DYNAMICS OF LUMPED MECHANICAL SYSTEMS
Lumped elements of mechanical systems:
• Masses: store kinetic energy(KE)
• Springs: store potential energy(PE)
• Dashpots: the dissipative elements
Elements of electrical systems:
- Capacitance C, inductance L: store energies
- Resistance R: dissipate energy
Instead of KCL and KVL, we have Newton’s law to write
the equations of motion in a mechanical system.
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Copyright © 2017 Hassan Sowidan
MASS-SPRING SYSTEM
For a mass suspended from a spring of stiffness K.
The gravitational force in equilibrium position is
is the stretching of the spring due to the weight W
W Mg is balanced by spring force K
=W
Mg
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Copyright © 2017 Hassan Sowidan
MASS-SPRING SYSTEM
Displacement x downward causes a force in the spring to
pull the mass upward.
Newton’s law: acceleration force in the positive x direction
is equal to the algebraic sum of all the forces acting on the
mass in the positive x direction.
= = 0Mx Kx or Mx Kx
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Copyright © 2017 Hassan Sowidan
MASS-SPRING SYSTEM WITH DISSIPATIVE ELEMENT
The same example with dashpot arrangement.
f(t) is the applied force.
Application of Newton’s law
1 2= ( ) K K BMx f t f f f
= BB
dxf B
dt
1 2= ( )dx
Mx f t K x K x Bdt
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Copyright © 2017 Hassan Sowidan
EXAMPLE
The mechanical equations for the two degrees of freedom
system.x1 and x2 are measured from the equilibrium position
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Copyright © 2017 Hassan Sowidan
EXAMPLE
The free body diagram
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Copyright © 2017 Hassan Sowidan
EXAMPLE
Define
Applying Newton’s law to each of the two masses, we get
2 1 =x x x
1 1 1 2 2 1
2 2 1 1 1 1 1
= ( ) ( )
( )
M x f t K x x
B x x B x K x
2 2 2 2 2 1
2 2 1 3 2 3 2
= ( ) ( )
( )
M x f t B x x
K x x B x K x
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Copyright © 2017 Hassan Sowidan
EXAMPLE
Suppose f1(t) and f2(t) are unit step functions of magnitudes
and respectively.
In steady state the derivatives of and are zero.
1F̂2F̂
1 1 21 2 10 = ( )ss ss ssK x K x x F
2 1 23 2 20 = ( )ss ss ssK x K x x F
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1x 2x
Copyright © 2017 Hassan Sowidan
EXAMPLE
We solve for and which will be the new
equilibrium positions
1 2 2 11
2 2 3 2 2
ˆ=
ˆ
ss
ss
K K K Fx
K K K x F
1
ssx2
ssx
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Copyright © 2017 Hassan Sowidan
STATE SPACE MODELS
The electrical and mechanical equations are coupled.
State space models are writing the coupled electrical and
mechanical equations in the form of a set of first order
deferential equations.
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Copyright © 2017 Hassan Sowidan
EXAMPLE
Write the electrical and mechanical equations of the motion
for the system and put them in the state space form.
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1 2= ( )dx
Mx f t K x K x Bdt
Copyright © 2017 Hassan Sowidan
EXAMPLE
We have derived the flux linkages in example 4.7:
Note and
cc
A
0
2( )g
xx
A
2
=( )c g
N i
x
2
0
=2c
N i
x
A A
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Copyright © 2017 Hassan Sowidan
EXAMPLE
The co-energy is:
Where,
The force of electrical origin:
=e mWf
x
2 2 2 2
0
=2( ( )) 2 ( )
i
m
c g
N i N iW di
R R x R x
( ) = ( )c gR x R R x
2 2
2
0
0
=2
e
c
N if
xA R
A
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Copyright © 2017 Hassan Sowidan
EXAMPLE
Equations for the electrical side:
=s
dv i R
dt
2 2
2
0
0 0
2=
2 2s
c c
N di N i dxv iR
dt A dtx xR RA A
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Copyright © 2017 Hassan Sowidan
EXAMPLE
Mechanical equation:
Let be the static equilibrium position of the moving
member. This is the same as the upstretched length of the
spring with . We assume , i.e., the two pieces
do not touch each other
= 0i > 0
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Copyright © 2017 Hassan Sowidan
EXAMPLE
If we measure the position of the moving member from the
equilibrium position, then the mechanical equations have
the variable
( )x 2 2
2 2
( )=
d x d x
dt dt
( )=
d x dx
dt dt
2 2 2
22
0
0
( ) = =2
e
c
d x dx N iM K x B f
dt dt xA R
A
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Copyright © 2017 Hassan Sowidan
EXAMPLE
State space model:
A set of three first-order differential equations. Define the
state variables as
,
, ( ( ))dx
x denoted by velocity and idt
= ...................(1)dx
dt
2
2=
d d x
dt dt
2 2
2
0
0
1= ( ) ..........(2)
2c
d N iK x B
dt M xA R
A
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Copyright © 2017 Hassan Sowidan
2
0
( ) =2
c
NL x
xR
A
EXAMPLE
2
2
0
0
1 2= .........(3)
( ) 2s
c
di N iiR
dt L x AxR
A
Where
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Copyright © 2017 Hassan Sowidan
EXAMPLE
Equations 1,2,3 are first-order differential equations and are
called the state space equations of electromechanical system.
The initial conditions are , , and .
is a forcing function. Generally, we can also redefine
the state variables mathematically as , ,
, and
(0) =x (0) = 0 (0) = 0i
( )sv t
1=x x2= x
3=i x =sv u
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Copyright © 2017 Hassan Sowidan
EXAMPLE
The state space equations are then of the form
1 1 1 2 3= ( , , )x f x x x
2 2 1 2 3= ( , , )x f x x x
3 3 1 2 3= ( , , , )x f x x x u
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Copyright © 2017 Hassan Sowidan
EXAMPLE
In the matrix form
Where
are the initial conditions. In this case ,
. Given we can
integrate to obtain the time domain response.
1
2
3
(0)
= ( , ), (0) = (0) , = ,
(0)
x
x f x u x x u u a scalar
x
1 1
2 2
3 3
= , =
x f
x x f f
x f
(0)x 1(0) =x
2 3(0) = (0) = 0x x (t) and knowing x(0),u
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Copyright © 2017 Hassan Sowidan
EQUILIBRIUM POINTS
Consider the equation , if ,
by setting we get algebraic equations
This may have several solutions for x denoted , ,….
are called static equilibrium solutions.
( , )x f x u
ˆ0 ( , )f x u
ˆ.u is const u
= 0x
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1
ex 2
ex
Copyright © 2017 Hassan Sowidan
EQUILIBRIUM POINTS
Graphically, setting derivatives equal to zero, ,
Since , x is the only unknown
Plot and
= 0e
2 2
2
0
0
( )( ) = = ( , )
2
ee e
c
N iK x f i x
xA R
A
e svi
R
( )K x ( , )e ef i x
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Copyright © 2017 Hassan Sowidan
NUMERICAL INTEGRATION
There are two kinds of methods: a) explicit and b) implicit.
Euler’s method is an explicit one. Euler’s method is easier
to implement for small systems.
For large systems, the implicit method is better because it is
numerically stable.
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Copyright © 2017 Hassan Sowidan
EXPLICIT METHOD(EULER’S METHOD)
The equation is
are vectors. We split the time interval into
equally spaced time instants
From
0= ( , ), (0) =x f x u x x
, and ux f
0 1 2 1, , , , , ,n nt t t t t
1n nt to t
1 1( ) = ( , )
t tn n
t tn n
x t dt f x u dt
1 1( ) ( ) = ( ) ( ( ), ( ))n n n n n nx t x t t t f x t u t
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Copyright © 2017 Hassan Sowidan
EXPLICIT METHOD (EULER’S METHOD)
Where
is the integration step size
are known from the previous time instant
1( ) = ( ) [ ( ( ), ( ))]n n n nx t x t t f x t u t
1= = , = 0,1,2n nt t t constant n
(1) (2) ( ) ( 1), , , ,
n nx x x x
t
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Copyright © 2017 Hassan Sowidan
APPLICATION FOR HIGHER-ORDER SYSTEMS
The same procedure is applicable.
Let
Application of Euler’s method gives
Superscript notation is used to denote the time instant
,
1 1 1 2 3= ( , , , )x f x x x t
2 2 1 2 3= ( , , , )x f x x x t
3 3 1 2 3= ( , , , )x f x x x t
( 1) ( ) ( ) ( ) ( )
1 1 1 1 2 3= ( ( , , , ))n n n n n
nx x t f x x x t
( 1) ( ) ( ) ( ) ( )
2 2 2 1 2 3= ( ( , , , ))n n n n n
nx x t f x x x t
( 1) ( ) ( ) ( ) ( )
3 3 3 1 2 3= ( ( , , , ))n n n n n
nx x t f x x x t
( ) = nn n t t 1( 1) ( 1) = nn n t t
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