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21
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2
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Feb
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2
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2
1
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Geo
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1.
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NT
RO
D
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N
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v
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ar
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n
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t
co
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p
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ly
[
1
-
3
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.
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to
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m
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Var
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th
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.
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I
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J
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Vo
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21
,
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2
,
Feb
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2
0
2
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7
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r
s
r
atin
g
o
f
3
7
0
0
KW
w
ith
s
p
ee
d
f
r
o
m
ze
r
o
r
p
m
to
5
9
0
r
p
m
r
esp
e
ctiv
el
y
[
1
5
-
2
0
]
.
T
h
e
f
o
llo
w
in
g
d
is
ad
v
an
ta
g
es o
f
ex
is
ti
n
g
v
ec
to
r
co
n
tr
o
l V
FD s
y
s
t
e
m
.
a)
R
eq
u
ir
e
tac
h
o
m
e
ter
f
ee
d
b
ac
k
f
r
o
m
t
h
e
m
o
to
r
.
W
h
ic
h
i
n
cr
ea
s
es
t
h
e
p
r
ice
o
f
t
h
e
AC
m
o
to
r
,
an
d
t
h
er
e
is
co
s
t
ass
o
ciate
d
w
it
h
m
o
u
n
t
in
g
,
w
ir
i
n
g
,
a
n
d
m
ai
n
tai
n
in
g
it.
S
in
ce
s
p
ee
d
r
eg
u
la
tio
n
is
h
i
g
h
l
y
es
s
e
n
tial
o
f
o
u
r
p
lan
t
p
r
o
ce
s
s
r
eq
u
ir
em
e
n
t
(
E
v
en
o
n
e
r
p
m
also
n
ee
d
to
r
eg
u
la
te
d
u
r
in
g
p
o
w
er
o
p
er
atio
n
)
.
T
o
ac
h
iev
e
th
is
s
p
ee
d
r
eg
u
latio
n
co
m
p
r
eh
en
s
i
v
e
cir
cu
i
t a
r
r
an
g
e
m
e
n
t n
ee
d
to
b
e
in
co
r
p
o
r
ated
.
b)
R
eg
e
n
er
atio
n
is
m
o
r
e
d
if
f
ic
u
lt
w
it
h
v
ec
to
r
VF
Ds
th
a
n
tr
ad
itio
n
al
t
h
y
r
is
to
r
d
r
iv
e
s
.
Var
io
u
s
co
m
p
o
n
e
n
ts
h
av
e
all
b
ee
n
u
s
ed
f
o
r
r
eg
en
er
atio
n
w
it
h
v
ec
to
r
VFD
s
.
c)
W
h
ile
t
h
e
v
ec
to
r
VFDs
is
u
s
e
d
f
o
r
d
y
n
a
m
ic
b
r
ak
i
n
g
ap
p
lica
tio
n
s
,
it
r
eq
u
ir
es
d
i
f
f
er
e
n
t
s
o
lu
tio
n
s
.
I
t
m
i
g
h
t
n
ee
d
d
c
b
r
ak
in
g
to
g
i
v
e
f
u
n
c
t
io
n
al
d
y
n
a
m
ic
b
r
ak
i
n
g
.
I
t
is
ess
e
n
tial
b
ec
au
s
e
t
h
e
r
eg
u
lato
r
o
n
AC
VFD
s
m
u
s
t b
e
ac
tiv
e
to
b
r
ea
k
t
h
e
lo
ad
.
d)
Stan
d
ar
d
I
M
ca
n
b
e
u
t
ilized
w
it
h
v
ec
to
r
VFD
s
.
Sti
ll,
t
h
e
h
ig
h
-
p
er
f
o
r
m
an
ce
i
n
cli
n
atio
n
s
o
f
th
e
s
e
VFD
s
ca
n
p
lace
m
o
r
e
s
u
b
s
ta
n
tial
r
e
q
u
ir
e
m
e
n
ts
.
P
ar
t
icu
lar
atte
n
ti
o
n
m
u
s
t
b
e
g
iv
e
n
to
m
o
to
r
s
f
o
r
o
p
ti
m
ized
co
n
s
ta
n
t to
r
q
u
e,
h
i
g
h
-
o
v
er
lo
ad
d
u
t
y
o
v
er
a
w
id
e
s
p
ee
d
r
an
g
e.
Hen
ce
,
a
n
e
w
m
et
h
o
d
is
p
r
o
p
o
s
ed
to
o
v
er
th
e
d
r
a
w
b
ac
k
s
w
h
i
ch
is
p
r
esen
ted
in
t
h
e
n
e
x
t sect
io
n
.
2.
P
RO
P
O
SE
D
M
E
T
H
O
D
T
h
e
f
o
llo
w
i
n
g
eq
u
atio
n
s
g
iv
e
a
d
y
n
a
m
ic
m
o
d
el
o
f
a
n
i
n
d
u
cti
o
n
m
o
to
r
in
as
y
n
ch
r
o
n
o
u
s
l
y
r
o
tatin
g
d
-
q
r
ef
er
en
ce
f
r
a
m
e
e
x
p
r
ess
ed
in
t
er
m
s
o
f
s
tate
v
ar
iab
les [
2
1
-
2
3
]
.
(
)
(
)
(
)
(
)
(
)
(
1
)
W
h
er
e,
an
d
is
q
s
tato
r
cu
r
r
en
t.
V
s
d
an
d
V
s
d
s
tato
r
v
o
ltag
e.
ψ
r
d
an
d
ψ
r
q
r
o
to
r
f
lu
x
lin
k
a
g
e
.
=1
-
is
th
e
lea
k
ag
e
co
ef
f
icie
n
t.
Mu
tu
a
l in
d
u
ctan
ce
o
f
r
o
to
r
an
d
s
tato
r
.
R
s
an
d
R
r
r
esis
ta
n
ce
o
f
r
o
to
r
an
d
s
tato
r
.
is
th
e
s
y
n
ch
r
o
n
o
u
s
s
p
ee
d
R
ev
er
s
e
P
ar
k
’
s
tr
a
n
s
f
o
r
m
at
i
o
n
is
u
s
ed
f
o
r
o
b
tain
i
n
g
th
e
r
elatio
n
b
et
w
ee
n
s
tatio
n
ar
y
an
d
s
y
n
ch
r
o
n
izin
g
r
o
tati
n
g
r
e
f
er
en
ce
.
[
]
[
(
)
(
)
(
)
(
)
(
)
(
)
]
[
]
(
2
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
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m
p
Sci
I
SS
N:
2502
-
4752
E
n
h
a
n
ce
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p
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la
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co
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f in
d
u
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to
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(
R
a
ma
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a
V
a
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u
.
R
)
709
T
h
e
f
o
r
e
m
o
s
t
g
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al
o
f
th
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s
ca
lar
co
n
tr
o
l
is
to
m
a
n
ag
e
th
e
to
r
q
u
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an
d
th
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f
l
u
x
i
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iv
id
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a
ll
y
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i
f
t
h
e
cu
r
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en
t
ele
m
e
n
t
i
s
ad
ap
ted
o
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r
eg
u
lated
i
n
t
h
e
f
l
u
x
d
ir
ec
tio
n
w
h
ile
a
n
o
t
h
er
cu
r
r
en
t
is
s
et
p
er
p
en
d
icu
lar
to
it,
th
e
m
ac
h
i
n
e
w
ill o
p
er
ate
as a
DC
m
ac
h
i
n
e.
T
h
e
FOC
i
s
s
ati
s
f
ies a
s
f
o
llo
w
s
.
(
3)
T
h
en
,
th
e
d
y
n
a
m
ic
p
ar
t (
1
)
ca
n
b
e
f
u
r
t
h
er
s
i
m
p
li
f
ied
to
,
(
)
(
4
)
(
)
(
5
)
(
6
)
(
)
(
7
)
(
8
)
T
h
er
ef
o
r
e,
to
r
q
u
e
(
8
)
b
ec
o
m
es
eq
u
iv
ale
n
t to
th
e
D
C
m
ac
h
i
n
e
as f
o
llo
w
s
,
(
9
)
W
h
er
e,
is
th
e
to
r
q
u
e
co
n
s
ta
n
t
an
d
is
ex
p
r
es
s
ed
as g
i
v
en
b
elo
w
:
(
1
0
)
W
h
er
e
r
ep
r
esen
ts
t
h
e
r
o
to
r
f
l
u
x
an
d
t
h
e
s
lip
f
r
eq
u
en
c
y
ca
n
b
e
d
er
iv
ed
f
r
o
m
(
7
)
as
g
iv
e
n
b
elo
w
:
(
1
1
)
Hen
ce
(
4
)
an
d
(
5
)
ca
n
b
e
d
ec
o
u
p
led
b
y
f
o
llo
w
i
n
g
:
(
)
(
)
(
)
(
)
(
1
2
)
T
h
e
im
p
ed
an
ce
w
il
l
b
e
ch
an
g
ed
if
th
e
f
r
eq
u
e
n
c
y
i
s
in
cr
ea
s
in
g
o
r
d
ec
r
ea
s
in
g
.
T
h
e
co
n
s
tan
t
f
l
u
x
i
n
th
e
s
tato
r
ca
n
b
e
p
r
o
v
id
ed
as f
o
llo
w
s
:
Stab
le
co
n
tr
o
l te
ch
n
iq
u
e
(
n
o
t a
f
f
ec
ted
b
y
a
n
y
f
ee
d
b
ac
k
er
r
o
r
s
)
2
.
1
.
Clo
s
ed
l
oop
-
V/F
c
o
ntr
o
l
m
o
del
T
h
e
in
d
u
ctio
n
m
o
to
r
d
y
n
a
m
ic
s
i
m
u
latio
n
m
o
d
el
is
p
r
ese
n
te
d
in
F
ig
u
r
e
1
an
d
th
e
clo
s
ed
l
o
o
p
co
n
tr
o
l
Si
m
u
li
n
k
is
p
r
esen
ted
in
F
ig
u
r
e
2
.
T
h
e
p
r
in
cip
le
o
f
co
n
s
tan
t
V/F
s
p
ee
d
co
n
tr
o
l
is
to
im
p
l
e
m
en
t
a
ch
an
g
ea
b
le
m
ag
n
it
u
d
e,
an
d
v
ar
iab
le
f
r
eq
u
en
c
y
v
o
ltag
e
to
th
e
m
o
to
r
.
C
lo
s
ed
-
lo
o
p
V/F
co
n
tr
o
l
u
s
i
n
g
a
VSI
is
g
i
v
en
i
n
th
e
b
lo
ck
d
iag
r
a
m
[
2
4
,
2
5
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2502
-
4
7
5
2
I
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d
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&
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p
Sci,
Vo
l.
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,
No
.
2
,
Feb
r
u
ar
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710
Fig
u
r
e
1
.
I
n
d
u
ctio
n
m
o
to
r
d
y
n
a
m
ic
m
o
d
el
s
i
m
u
li
n
k
cir
cu
it
Fig
u
r
e
2
.
C
lo
s
ed
-
lo
o
p
V/Hz
co
n
s
ta
n
t c
o
n
tr
o
l
3.
RE
SU
L
T
S
A
ND
D
IS
CU
SS
I
O
N
T
h
e
r
esp
o
n
s
e
o
f
s
p
ee
d
to
r
q
u
e
an
d
cu
r
r
en
t
ar
e
s
i
m
u
lated
an
d
r
esu
lted
ar
e
ca
p
tu
r
ed
.
Flu
k
e
4
3
4
p
o
w
er
q
u
alit
y
a
n
al
y
ze
r
is
co
n
n
ec
ted
t
o
th
e
in
v
er
ter
O/P
to
m
ea
s
u
r
e
th
e
p
o
w
er
q
u
al
it
y
.
U
n
f
ilter
ed
v
o
ltag
e
a
n
d
cu
r
r
en
t
w
er
e
ca
p
t
u
r
ed
an
d
i
t
w
a
s
o
b
s
er
v
ed
t
h
at
at
r
ed
u
ce
d
f
r
eq
u
e
n
c
y
p
o
w
er
f
ac
to
r
i
s
r
ed
u
ce
d
.
T
h
e
m
ac
h
i
n
e
w
a
s
o
p
er
ated
f
r
o
m
ze
r
o
to
m
ax
i
m
u
m
s
p
ee
d
to
co
n
f
ir
m
th
e
f
lu
x
lev
el.
A
s
th
e
m
o
d
u
latio
n
i
n
d
ex
o
f
t
h
e
f
r
eq
u
e
n
c
y
co
n
v
er
ter
is
d
ir
ec
tl
y
p
r
o
p
o
r
tio
n
al
to
th
e
v
o
lta
g
e
a
m
p
lit
u
d
e,
s
o
w
e
ca
n
s
tate
t
h
at
t
h
e
R
P
M
/
f
r
atio
is
s
ca
led
to
v
/
f
r
atio
w
h
ic
h
is
co
n
s
tan
t a
n
d
s
h
o
w
n
i
n
t
h
e
ab
o
v
e
T
ab
le
1
.
A
t
f
r
eq
u
e
n
c
y
5
0
.
5
8
HZ
th
e
p
o
w
er
f
ac
to
r
w
as
0
.
9
6
lag
.
W
h
ile
f
r
eq
u
en
c
y
co
m
i
n
g
d
o
w
n
th
e
p
o
w
er
f
ac
to
r
also
d
ec
r
ea
s
i
n
g
a
n
d
b
el
o
w
2
5
Hz
t
h
e
P
f
w
as
0
.
7
6
lag
an
d
d
u
r
i
n
g
s
tar
ti
n
g
t
h
e
p
o
w
er
f
ac
to
r
w
as
0
.
3
4
lag
.
Op
er
atin
g
p
r
o
ce
d
u
r
e
o
f
v
f
d
i
s
g
iv
e
n
.
He
n
ce
,
t
h
e
V
-
f
r
elati
o
n
is
ad
eq
u
ate,
t
h
e
m
o
to
r
s
p
e
ed
r
esp
o
n
s
e
i
s
al
s
o
i
m
p
r
o
v
ed
as
s
h
o
w
n
i
n
F
ig
u
r
e
3
.
First,
e
n
s
u
r
e
all
p
r
e
r
eq
u
est
ar
e
m
et
(
T
o
o
ls
&
tack
les,
m
a
n
p
o
w
er
,
etc.
)
.
E
n
er
g
ize
th
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ig
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Evaluation Warning : The document was created with Spire.PDF for Python.
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d
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N:
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5
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5
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.
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h
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6
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to
m
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o
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th
e
lo
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g
u
n
it
to
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r
o
v
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(
N
-
M)
.
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b
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to
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p
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co
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d
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all
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ar
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r
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s
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w
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f
ac
to
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,
v
o
ltag
e,
c
u
r
r
en
t
etc
)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2502
-
4
7
5
2
I
n
d
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2
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4.
CO
NCLU
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m
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th
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it
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t
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y
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a
m
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v
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th
e
m
o
to
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d
u
r
in
g
s
u
d
d
en
v
ar
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s
w
it
h
a
f
ast
s
ett
lin
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ti
m
e.
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t
s
h
o
w
s
t
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at
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r
ec
o
m
m
en
d
ed
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lan
f
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n
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s
r
elati
v
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r
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m
i
n
en
t
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all
y
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t
h
e
s
p
ee
d
tr
ac
k
in
g
o
b
j
ec
tiv
e
is
o
b
tain
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f
o
llo
w
in
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ch
an
g
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i
n
th
e
lo
ad
to
r
q
u
e
an
d
o
th
er
p
ar
a
m
eter
s
.
T
h
e
p
r
ed
icted
s
p
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d
in
clu
d
e
s
r
ip
p
les
d
u
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to
v
ar
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n
o
f
cu
r
r
en
t
a
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d
s
p
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d
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
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n
J
E
lec
E
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&
C
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p
Sci
I
SS
N:
2502
-
4752
E
n
h
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n
ce
d
s
p
a
ce
ve
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mo
d
u
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s
ca
la
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co
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tr
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l o
f in
d
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mo
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(
R
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ma
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.
R
)
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s
a
m
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g
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s
.
B
ased
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th
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ex
p
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d
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d
d
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k
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ar
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w
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m
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el
f
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s
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to
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m
o
d
u
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s
ca
lar
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n
tr
o
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o
f
in
d
u
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m
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f
o
r
s
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f
t
s
ta
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g
.
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t
is
p
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p
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ed
to
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v
elo
p
th
e
m
o
d
el
f
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o
to
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n
tr
o
l
m
eth
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i
m
ilar
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s
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t
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n
d
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m
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i
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ap
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licab
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to
s
o
d
iu
m
s
y
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te
m
co
ld
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ap
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lo
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t
3
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p
s
)
.
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h
ich
w
ill
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y
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m
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s
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e
e
n
tir
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co
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tr
o
l p
u
ls
e
d
er
iv
ed
f
r
o
m
t
h
e
u
s
er
in
p
u
t.
RE
F
E
R
E
NC
E
S
[1
]
Z.
B.
Du
ra
n
a
y
,
H.
G
u
ld
e
m
ir,
“
S
e
lec
ti
v
e
h
a
r
m
o
n
ic
e
li
m
in
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ted
V
/f
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e
d
c
o
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tro
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o
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sin
g
le
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p
h
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se
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c
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n
m
o
to
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,”
IET
Po
we
r E
lec
tro
n
ics
,
v
o
l.
1
1
,
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o
.
3
,
p
p
.
4
7
7
-
4
8
3
,
2
0
1
7
.
[2
]
M.
M
a
sia
la
,
B.
V
a
f
a
k
h
a
h
,
A.
Kn
g
h
t,
J.
S
a
lm
o
n
,
“
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ield
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,
”
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,
p
p
.
3
9
7
-
400
,
2
0
0
7
.
[3
]
F.
Ba
rre
ro
,
A.
G
o
n
z
a
lez
,
A.
T
o
rra
lb
a
,
E.
G
a
lv
a
n
,
L.
G.
F
ra
n
q
u
e
lo
, “
S
p
e
e
d
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tr
o
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o
f
in
d
u
c
ti
o
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m
o
to
rs u
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F
u
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slid
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T
ra
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sa
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Fu
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m
,
v
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l.
1
0
,
n
o
.
3,
p
p
.
3
8
3
.
[4
]
H.F
.
Ho
,
K.
W.
E.
Ch
e
n
g
,
“
p
o
sit
i
o
n
c
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in
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u
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ti
o
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in
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t
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d
a
p
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slid
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o
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”
2
0
0
9
3
rd
I
n
ter
n
a
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a
l
Co
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fer
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P
o
we
r E
lec
tro
n
ics
S
y
ste
ms
a
n
d
A
p
p
li
c
a
ti
o
n
s
,
p
p
.
1
-
5
,
2
0
0
9
.
[5
]
R.
J.
Wai,
“
F
u
z
z
y
slid
in
g
-
m
o
d
e
c
o
n
tro
l
u
sin
g
a
d
a
p
ti
v
e
tu
n
i
n
g
tec
h
n
iq
u
e
,
”
IEE
E
T
ra
n
s
a
c
ti
o
n
o
n
In
d
u
stri
a
l
El
e
c
tro
n
.
,
v
o
l.
5
4
,
n
o
.
1
,
p
p
.
5
8
6
-
5
9
4
,
2
0
0
7
.
[6
]
F.
J.
L
in
,
H.
M.
Su
,
a
n
d
H.
P
.
C
h
e
n
,
“
In
d
u
c
ti
o
n
m
o
to
r
se
rv
o
d
riv
e
w
it
h
a
d
a
p
ti
v
e
ro
to
r
ti
m
e
-
c
o
n
sta
n
t
e
stim
a
ti
o
n
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
o
n
Aer
o
sp
a
c
e
El
e
c
tro
n
ic sy
ste
m
,
v
o
l.
3
4
,
p
p
.
2
2
4
-
2
3
4
,
1
9
9
8
.
[7
]
V.
I.
Utk
in
,
“
S
li
d
in
g
m
o
d
e
c
o
n
tro
l
d
e
sig
n
p
rin
c
i
p
le
a
n
d
a
p
p
l
ica
ti
o
n
to
e
lec
tri
c
d
riv
e
s,
”
IEE
E
T
ra
n
sa
c
ti
o
n
o
n
In
d
u
stria
l
El
e
c
tro
n
ics
,
v
o
l
.
4
0
,
n
o
.
1
,
p
p
.
2
3
-
3
6
,
1
9
9
3
.
[8
]
A
.
De
rd
i
y
o
k
,
“
S
p
e
e
d
-
se
n
so
rles
s
c
o
n
tr
o
l
o
f
in
d
u
c
ti
o
n
m
o
to
r
u
sin
g
c
o
n
ti
n
u
o
u
s
c
o
n
tr
o
l
a
p
p
r
o
a
c
h
o
f
slid
in
g
-
m
o
d
e
a
n
d
f
lu
x
o
b
se
rv
e
r,
”
IEE
E
T
ra
n
s.
o
n
In
d
u
stria
l
El
e
c
tro
n
ics
,
v
o
l.
5
2
,
n
o
.
4
,
p
p
.
1
4
0
-
1
4
8
,
2
0
0
5
.
[9
]
A
.
A
b
b
o
n
d
a
n
ti
,
M
.
B.
Bre
n
n
e
n
,
“
V
a
riab
le
s
p
e
e
d
i
n
d
u
c
ti
o
n
m
o
to
r
d
riv
e
s
u
se
e
lec
tro
n
ic
sli
p
c
a
lcu
lato
r
b
a
se
d
o
n
m
o
to
r
v
o
lt
a
g
e
s an
d
c
u
rre
n
ts,
”
IEE
E
T
ra
n
s.
In
d
u
stri
a
l
A
p
p
li
c
a
ti
o
n
s
,
v
o
l.
1
1
,
p
p
.
4
8
3
-
4
8
8
,
1
9
7
5
.
[1
0
]
C.
C.
Ch
a
n
,
H.
Q.
W
a
n
g
,
“
Ne
w
s
c
h
e
m
e
o
f
slid
in
g
m
o
d
e
c
o
n
tro
l
f
o
r
h
ig
h
p
e
rf
o
r
m
a
n
c
e
in
d
u
c
ti
o
n
m
o
to
r
d
riv
e
s,”
IEE
Pro
c
.
o
n
El
e
c
tric P
o
we
r A
p
p
li
c
a
ti
o
n
s
,
v
o
l
.
1
4
3
,
n
o
.
3
,
p
p
.
1
7
7
-
1
8
5
,
1
9
9
6
.
[1
1
]
C.
L
a
sc
u
,
I.
Bo
l
d
e
a
a
n
d
F
.
Blaa
b
jerg
,
“
Dire
c
t
to
rq
u
e
c
o
n
tr
o
l
o
f
se
n
so
rles
s
in
d
u
c
ti
o
n
m
o
to
r
d
riv
e
s:
a
slid
in
g
-
m
o
d
e
a
p
p
ro
a
c
h
,
”
in
IE
EE
T
ra
n
sa
c
ti
o
n
s
o
n
In
d
u
stry
Ap
p
li
c
a
ti
o
n
s
,
v
o
l.
4
0
,
n
o
.
2
,
p
p
.
5
8
2
-
5
9
0
,
2
0
0
4
.
d
o
i:
1
0
.
1
1
0
9
/T
IA
.
2
0
0
4
.
8
2
4
4
4
1
.
[1
2
]
Ch
a
n
,
C.
C.
,
a
n
d
H.
Q.
W
a
n
g
,
“
Ne
w
s
c
h
e
m
e
o
f
slid
in
g
m
o
d
e
c
o
n
tro
l
f
o
r
h
ig
h
p
e
rf
o
rm
a
n
c
e
in
d
u
c
ti
o
n
m
o
to
r
d
riv
e
s,”
IEE
Pro
c
.
o
n
El
e
c
tric P
o
we
r A
p
p
li
c
a
ti
o
n
s
,
v
o
l
.
1
4
3
,
n
o
.
3
,
p
p
1
7
7
-
185
,
1
9
9
6
.
[1
3
]
Ch
a
n
C.
C
.
,
L
e
u
n
g
W
.
S
.
a
n
d
C.
W
.
Na
g
,
“
A
d
a
p
ti
v
e
d
e
c
o
u
p
li
n
g
c
o
n
tr
o
l
o
f
in
d
u
c
ti
o
n
m
o
to
r
d
riv
e
s,”
IEE
E
T
ra
n
sa
c
ti
o
n
o
n
In
d
u
stri
a
l
E
lec
tro
n
ics
,
v
o
l.
3
5
,
n
o
.
1
,
p
p
.
4
1
-
47
,
2
0
1
0
.
[1
4
]
D.
S
a
tt
ian
a
d
a
n
,
G
.
F
S
a
v
a
ri
,
“
T
e
c
h
n
o
Eco
n
o
m
ic
Ev
a
lu
a
ti
o
n
o
f
a
H
y
b
rid
e
n
e
rg
y
s
y
ste
m
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Rec
e
n
t
T
e
c
h
n
o
lo
g
y
a
n
d
E
n
g
in
e
e
rin
g
,
v
o
l.
8
,
n
o
.
2
S
1
1
,
p
p
.
2
5
7
5
-
2
5
7
9
,
2
0
1
9
.
[1
5
]
P
a
lan
isa
m
y
R,
V
ij
a
y
a
k
u
m
a
r
K,
“
Co
m
m
o
n
M
o
d
e
V
o
lt
a
g
e
Re
d
u
c
ti
o
n
Us
in
g
3
D
-
S
VP
W
M
f
o
r
3
-
lev
e
l
CI
-
NP
C
In
v
e
rter w
it
h
H
y
b
rid
En
e
rg
y
S
y
st
e
m
,
”
El
e
c
tric P
o
we
r Co
mp
o
n
e
n
ts
a
n
d
S
y
ste
ms
,
2
0
1
8
.
[1
6
]
K.
S
e
lv
a
k
u
m
a
r,
K.
V
ij
a
y
a
k
u
m
a
r,
D.
Ka
rth
ik
e
y
a
n
,
D.
S
e
lv
a
b
h
a
ra
th
i,
V
.
Ku
b
e
n
d
ra
n
,
“
Hy
ste
r
e
sis
c
o
n
tro
l
3
-
lev
e
l
S
I
-
NP
C
in
v
e
rter
w
it
h
w
in
d
e
n
e
rg
y
s
y
ste
m
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
Po
we
r
El
e
c
tro
n
ics
a
n
d
Dr
ive
S
y
s
tem
(
IJ
PE
DS
)
,
v
o
l.
8
,
n
o
.
4
,
2
0
1
7
.
[1
7
]
K.
V
ij
a
y
a
k
u
m
a
r,
S
h
u
ry
a
M
isra
,
K.
S
e
lv
a
k
u
m
a
r
,
D.
K
a
rth
ik
e
y
a
n
,
“
A
c
lo
se
d
lo
o
p
c
u
rre
n
t
c
o
n
tro
l
o
f
P
V
-
w
in
d
h
y
b
ri
d
so
u
rc
e
f
e
d
g
rid
c
o
n
n
e
c
ted
tran
sf
o
rm
e
rles
s
d
io
d
e
c
lam
p
e
d
-
m
u
lt
i
lev
e
l
in
v
e
rter
,
”
In
ter
n
a
ti
o
n
a
l
Rev
iew
On
M
o
d
e
ll
in
g
An
d
S
imu
la
ti
o
n
s
,
v
o
l.
8
,
n
o
.
4
,
2
0
1
5
.
[1
8
]
P
a
lan
isa
m
y
R
.
,
S
e
lv
a
k
u
m
a
r
K
.,
a
n
d
Ka
rt
h
ik
e
y
a
n
D
.
,
“
S
im
u
latio
n
o
f
m
a
tri
x
c
o
n
v
e
rter
f
o
r
in
d
u
c
t
io
n
m
o
to
r
,
”
a
t
ICET
S
'
1
7
,
M
u
t
h
y
a
m
m
a
l
Co
ll
e
g
e
Of
En
g
g
,
Na
m
a
k
k
a
l,
3
0
th
&
3
1
st
,
2
0
1
7
.
[1
9
]
D.
S
a
tt
ian
a
d
a
n
“
Un
in
terru
p
ted
su
p
p
ly
to
B
L
DC
m
o
to
r
u
sin
g
P
V
a
n
d
g
rid
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Rec
e
n
t
T
e
c
h
n
o
l
o
g
y
a
n
d
E
n
g
i
n
e
e
rin
g
,
v
o
l.
8
,
n
o
.
2
S
1
1
,
p
p
.
3
3
5
7
-
3
3
6
2
,
2
0
1
9
.
[2
0
]
M.
A.
J
S
a
th
ik
,
e
t
a
l
.
,
“
A
Ne
w
G
e
n
e
r
a
li
z
e
d
M
u
lt
il
e
v
e
l
Co
n
v
e
rter
T
o
p
o
lo
g
y
w
it
h
Re
d
u
c
e
d
V
o
lt
a
g
e
o
n
S
w
it
c
h
e
s,
P
o
w
e
r
lo
ss
e
s
a
n
d
Co
m
p
o
n
e
n
ts,
”
IEE
E
J
o
u
rn
a
l
o
f
Eme
rg
i
n
g
S
e
lec
te
d
T
o
p
ics
in
Po
we
r
El
e
c
tro
n
ics
,
v
o
l
.
7
,
n
o
.
2
,
p
p
.
1
0
9
4
-
1
1
0
6
,
2
0
1
9
.
[2
1
]
P.
S
u
re
sh
,
S
.
G
e
o
rg
e
F
e
rn
a
n
d
e
z
,
“
Re
d
u
c
ti
o
n
o
f
tran
sie
n
ts
in
sw
it
c
h
e
s
u
sin
g
e
m
b
e
d
d
e
d
m
a
c
h
in
e
lea
rn
in
g
,
”
In
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
P
o
we
r E
lec
tro
n
ics
a
n
d
Dr
ive
S
y
ste
ms
,
v
ol
.
1
1
,
n
o
.
1
,
p
p
.
2
3
5
-
2
4
1
,
2
0
2
0
.
[2
2
]
D.
S
a
tt
ian
a
d
a
n
,
V
.
Ka
ly
a
n
a
su
n
d
a
ra
m
,
S
.
V
id
y
a
sa
g
a
r,
De
e
p
a
k
Ku
m
a
r
Na
y
a
k
Ro
o
p
a
m
Jh
a
,
“
M
a
x
i
m
u
m
P
o
w
e
r
P
o
i
n
t
T
ra
c
k
in
g
f
o
r
a
G
rid
Co
n
n
e
c
ted
P
h
o
t
o
v
o
lt
a
ic
S
y
ste
m
Us
in
g
S
li
d
in
g
M
o
d
e
Co
n
tr
o
l
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Po
we
r
El
e
c
tro
n
ics
a
n
d
Dr
ive
S
y
ste
m (
IJ
PE
DS
)
,
v
o
l
.
8
,
n
o
.
4
,
p
p
.
1
7
8
5
-
1
7
9
2
,
2
0
1
7
.
[2
3
]
V
id
y
a
sa
g
a
r
S
.,
“
En
e
rg
y
m
a
n
a
g
e
m
e
n
t
s
y
ste
m
c
o
n
n
e
c
ted
f
o
r
m
i
c
r
o
g
rid
u
sin
g
f
u
z
z
y
lo
g
ic
a
lg
o
rit
h
m
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Rec
e
n
t
T
e
c
h
n
o
l
o
g
y
a
n
d
En
g
i
n
e
e
rin
g
,
v
o
l.
8
,
n
o
.
2
S
1
1
,
p
p
.
2
5
2
2
-
2
5
2
7
,
2
0
1
9
.
[2
4
]
K.
V
ij
a
y
a
k
u
m
a
r
a
n
d
K.
S
a
ra
v
a
n
a
n
,
“
F
u
z
z
y
lo
g
ic
b
a
se
d
d
u
ty
c
y
c
le
e
sti
m
a
ti
o
n
f
o
r
M
a
x
i
m
u
m
P
o
w
e
r
P
o
in
t
T
ra
c
k
in
g
in
P
h
o
t
o
v
o
lt
a
ic S
y
ste
m
s
,
”
J
o
u
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