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3.
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(
3
5
)
T
h
e
p
o
w
er
co
n
v
er
s
io
n
co
ef
f
ici
en
t d
ef
i
n
ed
as:
R
t
(
3
6
)
W
h
er
e
t
=th
e
tu
r
b
in
e
r
o
to
r
s
p
ee
d
.
T
h
e
w
i
n
d
t
u
r
b
in
e
i
s
n
o
r
m
all
y
ch
ar
ac
ter
ized
b
et
w
ee
n
C
p
a
n
d
γ
f
o
r
th
e
g
i
v
en
v
a
lu
e
s
o
f
p
i
tch
a
n
g
le
(
)
is
as illu
s
tr
at
ed
in
Fi
g
u
r
e
3.
Fig
u
r
e
3
.
W
in
d
tu
r
b
in
e
g
e
n
er
a
to
r
p
C
ch
ar
ac
ter
is
tic
s
5
.
1
.
P
it
ch
a
ng
le
co
ntr
o
ller
des
ig
n
T
h
e
ad
v
an
ta
g
e
o
f
p
itc
h
a
n
g
le
co
n
tr
o
l
is
m
o
r
e
f
f
ic
ien
c
y
i
n
lo
w
w
i
n
d
,
s
m
al
l
v
ar
iat
io
n
i
n
th
e
p
itc
h
an
g
le
ca
n
g
iv
e
s
tr
o
n
g
l
y
i
n
f
lu
en
ce
d
b
y
o
f
t
h
e
b
lad
e
r
esp
e
ct
to
th
e
d
ir
ec
tio
n
o
f
t
h
e
w
i
n
d
o
r
to
th
e
p
lan
e
o
f
r
o
tatio
n
.
Used
th
e
w
i
n
d
v
elo
cit
y
υ,
th
e
r
ef
er
en
ce
r
o
to
r
s
p
ee
d
f
o
r
ex
tr
ac
tin
g
th
e
MP
P
T
is
o
b
tain
ed
b
y
:
R
G
opt
m
(
3
7
)
T
h
e
g
ea
r
b
o
x
es in
a
t
y
p
ical
w
i
n
d
tu
r
b
in
e
i
n
cr
ea
s
e
t
h
e
s
p
ee
d
o
f
th
e
g
en
er
ato
r
b
y
th
e
r
elatio
n
t
m
G
(
3
8
)
T
h
e
p
itch
co
n
tr
o
ller
is
em
p
lo
y
ed
to
r
eg
u
latio
n
t
h
e
r
o
to
r
s
p
e
ed
at
th
e
m
ax
i
m
u
m
u
s
ed
t
h
e
r
o
to
r
s
p
ee
d
m
ea
s
u
r
e
an
d
th
e
r
e
f
er
en
ce
s
p
e
ed
,
w
h
ic
h
ca
n
f
i
n
d
b
y
th
e
E
q
u
atio
n
(
3
6
)
.
A
s
i
m
p
le
p
r
o
p
o
r
tio
n
al
-
in
te
g
r
al
(
P
I
)
co
n
tr
o
ller
is
u
s
ed
to
r
eg
u
latio
n
,
t
h
is
r
eg
u
lato
r
f
o
llo
w
ed
b
y
li
m
ita
tio
n
to
f
i
x
i
n
g
th
e
a
n
g
le
t
o
b
et
w
ee
n
th
e
m
a
x
i
m
u
m
a
n
d
t
h
e
m
i
n
i
m
u
m
a
n
g
le
as s
h
o
w
n
i
n
Fi
g
u
r
e
4.
0
2
4
6
8
10
12
0
0
.
1
0
.
2
0
.
3
0
.
4
0
.
5
0
0
10
0
20
0
p
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J
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P
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Do
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ly
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fed
Gen
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m
S
erh
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Fig
u
r
e
4
.
P
itch
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g
le
co
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Fig
u
r
e
5
.
Sen
s
o
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les
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v
ec
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co
n
tr
o
l o
f
th
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B
DFM
u
s
i
n
g
L
u
e
n
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er
g
er
o
b
s
er
v
er
6.
SI
M
UL
AT
I
O
N
R
E
S
UL
T
S
T
h
e
s
en
s
eles
s
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n
tr
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l
d
ev
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p
ed
h
as
b
ee
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m
p
le
m
e
n
ted
in
a
MA
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L
B
7
.
0
/s
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DFM
u
s
ed
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n
t
h
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m
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latio
n
m
o
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is
3
Y
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3
Y
co
n
n
ec
ted
an
d
its
s
tato
r
w
in
d
i
n
g
is
2
-
6
p
o
les.
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h
e
m
ac
h
in
e
p
ar
am
eter
s
p
r
esen
ted
b
y
J
.
P
o
za
[
3
]
ar
e
u
s
ed
in
th
is
s
i
m
u
lati
o
n
as s
h
o
w
e
d
i
n
tab
le
1
.
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o
v
er
if
y
t
h
e
s
tate
e
s
ti
m
atio
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p
er
f
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ten
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s
i
m
u
l
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r
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ig
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m
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Fig
u
r
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.
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o
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t
u
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an
d
esti
m
ated
r
o
to
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s
p
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d
Fig
u
r
e
8.
E
r
r
o
r
o
f
r
o
to
r
s
p
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d
Fig
u
r
e
9
.
P
o
w
er
w
i
n
d
in
g
r
ea
ctiv
e
p
o
w
er
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IJ
A
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2
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u
g
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t
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:
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–
1
9
8
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Fig
u
r
e
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11.
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h
ase
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r
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.
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ase
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ase
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itch
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u
r
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.
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ef
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C
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v
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n
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u
r
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.
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o
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o
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ase
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r
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r
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.
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C
p
v
ar
iati
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I
J
A
P
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I
SS
N:
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8792
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en
s
o
r
less
C
o
n
tr
o
l o
f B
r
u
s
h
le
s
s
Do
u
b
ly
-
fed
Gen
era
to
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Usi
n
g
Lu
en
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erg
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…
(
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a
m
S
erh
o
u
d
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197
7.
CO
NCLU
SI
O
N
I
n
th
is
s
tu
d
y
w
e
p
r
ese
n
ted
i
n
d
etail
s
en
s
o
r
less
co
n
tr
o
l
s
tr
at
eg
y
f
o
r
(
B
DFG)
i
n
v
ar
iab
le
s
p
ee
d
w
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n
d
tu
r
b
in
e
g
e
n
er
ato
r
s
u
s
ed
L
u
e
n
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er
g
er
o
b
s
er
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er
,
a
v
ec
to
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l
s
tr
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y
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o
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d
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g
f
l
u
x
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o
r
ien
ted
s
ch
e
m
e
is
p
r
o
p
o
s
ed
to
ass
ess
t
h
e
d
ec
o
u
p
ag
e
o
f
ac
ti
v
e
a
n
d
th
e
r
ea
ctiv
e
p
o
w
er
,
th
e
o
b
s
er
v
er
g
ain
s
ar
e
s
elec
ted
b
y
t
h
e
p
o
le
p
lace
m
en
t
m
et
h
o
d
an
d
th
e
s
tab
ili
t
y
o
f
t
h
e
o
b
s
er
v
er
is
an
al
y
ze
d
u
s
i
n
g
th
e
L
y
ap
u
n
o
v
t
h
eo
r
y
.
T
h
e
s
i
m
u
lat
io
n
r
esu
lts
s
h
o
w
e
f
f
ec
tiv
e
n
e
s
s
o
f
th
e
o
p
ti
m
al
p
o
w
er
s
e
n
s
o
r
less
o
p
er
atin
g
m
et
h
o
d
s
in
lo
w
an
d
h
ig
h
w
in
d
s
p
ee
d
,
w
e
ca
n
co
n
clu
d
e
t
h
e
MP
PT
s
en
s
ele
s
s
o
p
er
atin
g
m
e
th
o
d
s
p
r
o
p
o
s
ed
o
n
l
y
b
y
m
ea
s
u
r
i
n
g
p
h
a
s
e
v
o
lta
g
es
an
d
cu
r
r
en
t
s
th
er
ef
o
r
e
it
ca
n
im
p
r
o
v
e
t
h
e
co
n
tr
o
l
s
y
s
te
m
d
ep
en
d
ab
ilit
y
a
n
d
en
er
g
y
co
n
v
er
s
io
n
co
m
p
ete
n
ce
e
f
f
ic
ien
c
y
.
Appen
dix
T
ab
le
1
T
h
e
E
lectr
ical
P
ar
am
eter
o
f
B
DFG
PW
CW
R
o
t
o
r
R
e
si
st
a
n
c
e
(
)
p
R
=
1
.
7
3
2
c
R
=
1
.
0
7
9
r
R
0
.
4
7
3
se
l
f
-
i
n
d
u
c
t
a
n
c
e
(
mH
)
p
L
=
7
1
4
.
8
c
L
=
1
2
1
.
7
r
L
=
1
3
2
.
6
M
u
t
u
a
l
i
n
d
u
c
t
a
n
c
e
(
mH
)
p
M
=
2
4
2
.
1
c
M
=
5
9
.
8
RE
F
E
R
E
NC
E
S
[1
]
J.
P
o
z
a
,
E.
Oa
rb
id
e
,
D.
Ro
y
e
a
n
d
I.
S
a
ra
so
la,
"
S
tab
il
it
y
a
n
a
l
y
sis
o
f
a
BDFM
u
n
d
e
r
o
p
e
n
-
lo
o
p
v
o
lt
a
g
e
c
o
n
tro
l,
"
2
0
0
5
Eu
ro
p
e
a
n
C
o
n
fer
e
n
c
e
o
n
P
o
we
r
El
e
c
tro
n
ics
a
n
d
Ap
p
li
c
a
ti
o
n
s
,
Dre
sd
e
n
,
2
0
0
5
,
p
p
.
1
0
p
p
.
-
P
.
1
0
.
[2
]
S
e
rh
o
u
d
,
Hic
h
a
m
e
t
Be
n
a
tt
o
u
s
,
Djil
a
n
i
, "
S
e
n
so
rles
s o
p
ti
m
a
l
p
o
w
e
r
c
o
n
tro
l
o
f
b
ru
sh
les
s d
o
u
b
ly
-
f
e
d
m
a
c
h
in
e
in
w
in
d
p
o
w
e
r
g
e
n
e
ra
to
r
b
a
se
d
o
n
e
x
ten
d
e
d
k
a
lma
n
f
il
ter
,
"
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
S
y
ste
m
Assu
ra
n
c
e
E
n
g
i
n
e
e
rin
g
a
n
d
M
a
n
a
g
e
me
n
t
,
2
0
1
3
,
v
o
l.
4
,
n
o
1
,
p
.
5
7
-
66.
[3
]
G
.
Zh
a
n
g
,
J.
Y
a
n
g
,
M
.
S
u
,
W
.
T
a
n
g
a
n
d
F
.
Blaa
b
jerg
,
"
S
tato
r
-
c
u
rre
n
t
-
b
a
se
d
M
RA
S
o
b
se
rv
e
r
f
o
r
th
e
se
n
so
rles
s
c
o
n
tro
l
o
f
th
e
b
ru
sh
les
s
d
o
u
b
ly
-
f
e
d
in
d
u
c
ti
o
n
m
a
c
h
in
e
,
"
2
0
1
7
IE
EE
Ap
p
l
ied
Po
we
r
El
e
c
tro
n
ics
Co
n
fer
e
n
c
e
a
n
d
Exp
o
siti
o
n
(
AP
EC)
,
T
a
m
p
a
,
F
L
,
2
0
1
7
,
p
p
.
3
1
5
0
-
3
1
5
5
.
[4
]
L
.
M
.
Yin
g
,
X
.
C
u
i,
Q.
F
.
L
iao
,
C.
h
.
T
a
n
g
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.
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n
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e
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,
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tato
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lu
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se
rv
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ti
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p
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m
a
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e
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e
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ra
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2
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0
6
In
ter
n
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ti
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n
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l
Co
n
fer
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n
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n
Po
we
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y
ste
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T
e
c
h
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lo
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,
Ch
o
n
g
q
in
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2
0
0
6
,
p
p
.
1
-
6.
[5
]
S
.
T
h
o
m
se
n
,
K.
Ro
th
e
n
h
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g
e
n
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n
d
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.
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.
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u
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h
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n
a
l
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o
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lt
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g
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se
rv
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o
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ra
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2
0
0
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E
u
ro
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e
a
n
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o
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fer
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r E
lec
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n
d
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p
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a
lb
o
rg
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0
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p
p
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1
-
9.
[6
]
D.
G
.
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o
rc
h
e
tt
i,
G
.
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a
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ia
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n
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ll
a
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2
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ter
n
a
ti
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0
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p
p
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4
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.
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]
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h
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f
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1
9
9
3
S
ixth
In
ter
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a
ti
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a
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fer
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trica
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6
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rd
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1
9
9
3
,
p
p
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7
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.
[8
]
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m
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b
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ti
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m
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lais
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iv
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rsité M
o
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m
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id
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r
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ra
.
[9
]
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.
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o
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b
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g
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y
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ra
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2
0
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7
t
h
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n
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a
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0
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1
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p
p
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0
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a
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b
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ti
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to
t
h
e
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d
.
In
:
P
o
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r
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e
c
tro
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ics
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n
d
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r
o
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,
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0
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p
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1
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10.
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1
]
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rd
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a
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rto
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u
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l
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e
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ly
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ra
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ti
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e
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o
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.
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2
]
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.
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,
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.
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a
n
g
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n
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h
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n
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f
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b
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r
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n
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ra
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rid
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a
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a
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h
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n
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p
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3
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in
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u
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r
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r
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5
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.
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4
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M.
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m
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sc
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d
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.
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,
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sp
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in
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p
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b
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2
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0
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.
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5
]
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.
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n
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tu
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we
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h
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r
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tro
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n
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d
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siti
o
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(
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EC)
,
P
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lm
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2
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p
p
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1
5
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2
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4
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.
[1
6
]
T
.
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n
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.
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.
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s,
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m
p
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te an
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in
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ti
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1
9
9
3
Fi
ft
h
Eu
r
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p
e
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n
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e
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c
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Po
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r
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tro
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p
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s
,
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,
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,
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9
9
3
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p
p
.
4
3
9
-
4
4
4
v
o
l.
4
.
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