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[
1
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-
[
5
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.
A
s
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[
7
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-
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11
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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I
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P
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w
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E
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Dr
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s
t
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Vo
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9
,
No
.
1
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Ma
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2
0
1
8
:
189
–
1
9
7
190
I
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SHE
P
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ap
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p
to
1
5
%
th
a
t
o
f
SP
W
M.
SVP
W
M
tech
n
iq
u
e
i
s
e
x
ten
s
i
v
el
y
u
s
e
d
in
s
p
ee
d
co
n
tr
o
l
o
f
A
C
d
r
iv
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b
r
u
s
h
le
s
s
m
o
to
r
s
a
n
d
p
er
m
a
n
e
n
t
m
ag
n
et
s
y
n
ch
r
o
n
o
u
s
m
o
to
r
s
.
T
h
e
d
r
aw
b
ac
k
o
f
t
h
i
s
tec
h
n
iq
u
e
i
s
,
as
th
e
n
u
m
b
er
o
f
o
u
tp
u
t
lev
e
l
o
n
t
h
e
i
n
v
er
ter
s
id
e
in
cr
ea
s
es
th
e
r
ed
u
n
d
an
t s
w
i
tch
in
g
s
tate
s
an
d
t
h
e
co
m
p
le
x
it
y
o
f
s
elec
ti
n
g
s
w
i
tch
i
n
g
s
ta
tes i
n
cr
ea
s
es.
T
h
is
lead
s
to
in
ten
s
i
v
e
ca
lcu
lat
io
n
f
o
r
v
ec
to
r
f
r
a
m
es [
7
]
-
[
8
]
an
d
[
1
0
]
.
T
h
e
d
r
a
w
b
ac
k
o
f
i
m
p
le
m
e
n
tat
io
n
co
m
p
le
x
it
y
in
SHE
P
W
M
tech
n
i
q
u
e
a
n
d
SVP
W
M
tech
n
iq
u
e
ca
n
b
e
o
v
er
co
m
e
b
y
M
u
lt
i
C
ar
r
ie
r
P
W
M
(
MCP
W
M)
o
f
SP
W
M
tech
n
iq
u
e.
M
C
P
W
M
tech
n
iq
u
e
is
e
x
te
n
s
i
v
el
y
u
s
ed
i
n
ca
s
ca
d
ed
m
u
ltil
e
v
el
i
n
v
er
ter
s
as
it
i
s
le
s
s
co
m
p
lex
,
ea
s
y
to
i
m
p
le
m
e
n
t
e
v
e
n
f
o
r
h
i
g
h
er
n
u
m
b
er
o
f
lev
els
at
i
n
v
er
ter
o
u
tp
u
t
a
n
d
ea
s
y
co
n
tr
o
l
o
f
o
u
tp
u
t
v
o
ltag
e
m
ag
n
it
u
d
e
an
d
f
r
eq
u
en
c
y
[
1
2
]
-
[1
4
]
.
I
n
MCP
W
M
tech
n
iq
u
e
th
e
th
r
ee
-
p
h
a
s
e
r
e
f
er
en
ce
m
o
d
u
lati
n
g
w
a
v
es
w
h
ich
h
a
v
e
1
2
0
°
p
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ase
s
h
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f
t
ar
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co
m
p
ar
ed
w
it
h
a
co
m
m
o
n
tr
ia
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g
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lar
ca
r
r
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wav
e
to
g
e
n
er
ate
co
r
r
esp
o
n
d
in
g
s
w
itc
h
in
g
p
u
ls
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s
f
o
r
t
h
r
e
e
p
h
ase
i
n
v
er
ter
.
T
h
e
o
u
tp
u
t
v
o
lta
g
e
m
ag
n
it
u
d
e
an
d
f
r
eq
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en
c
y
ca
n
b
e
co
n
tr
o
lled
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ch
a
n
g
in
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t
h
e
m
a
g
n
it
u
d
e
an
d
f
r
eq
u
en
c
y
o
f
m
o
d
u
lati
n
g
s
ig
n
al.
T
h
e
v
o
lta
g
e
v
ar
ies
l
in
ea
r
l
y
f
r
o
m
0
%
t
o
7
8
.
5
%
w
h
ich
r
esu
lts
in
p
o
o
r
DC
b
u
s
v
o
ltag
e
u
tili
za
t
io
n
.
Hen
ce
v
o
lta
g
e
r
an
g
e
h
a
s
to
b
e
i
m
p
r
o
v
ed
b
y
i
n
c
r
ea
s
in
g
th
e
D
C
b
u
s
u
ti
lizatio
n
at
th
e
s
a
m
e
t
i
m
e
r
ed
u
cin
g
th
e
h
ar
m
o
n
ics [
7
]
.
I
n
t
h
is
p
ap
er
a
n
e
f
f
o
r
t
h
as
b
ee
n
m
ad
e
to
ad
d
r
ess
t
h
e
d
r
a
w
b
a
ck
o
f
p
o
o
r
v
o
ltag
e
u
ti
lizatio
n
o
f
SP
W
M
tech
n
iq
u
e.
T
h
is
p
ap
er
u
s
e
s
a
n
e
w
m
o
d
u
lati
n
g
w
a
v
e
ellip
tic
al
w
a
v
e
[
1
5
]
-
[1
6
]
r
ep
lacin
g
s
i
n
e
m
o
d
u
lati
n
g
w
a
v
e
in
SP
W
M
tech
n
iq
u
e.
T
h
is
r
es
u
lt
i
n
in
cr
ea
s
ed
D
C
b
u
s
u
til
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n
as
i
n
ca
s
e
o
f
SVP
W
M
te
ch
n
iq
u
e
to
i
m
p
r
o
v
e
o
u
tp
u
t
v
o
lta
g
e
r
an
g
e
an
d
r
ed
u
ce
th
e
h
ar
m
o
n
ics
.
T
h
e
s
i
m
u
lat
io
n
o
f
p
r
o
p
o
s
ed
m
o
d
u
la
tio
n
t
ec
h
n
iq
u
e
is
ca
r
r
i
ed
o
u
t
o
n
M
A
T
L
A
B
X
ili
n
x
S
y
s
t
e
m
G
e
n
er
ato
r
(
XSG)
p
latf
o
r
m
.
T
h
e
co
n
tr
o
l
s
tr
ateg
y
ca
n
b
e
i
m
p
le
m
e
n
ted
b
y
u
s
e
o
f
r
ea
d
il
y
av
ai
lab
le
s
y
s
te
m
g
en
er
ato
r
b
lo
ck
s
an
d
s
u
b
s
y
s
te
m
s
.
X
SG
to
o
l
ex
tr
ac
t
a
u
to
m
atic
co
d
e
f
r
o
m
th
e
s
y
s
te
m
m
o
d
el
to
r
ea
lize
th
e
h
ar
d
w
ar
e
in
a
p
ar
ticu
l
ar
FP
GA
b
it
s
tr
ea
m
.
T
h
is
t
y
p
e
o
f
d
esig
n
ap
p
r
o
ac
h
es
r
esu
lt
in
in
cr
ea
s
ed
p
r
o
d
u
ctiv
it
y
a
n
d
r
eliab
ilit
y
[
1
7
]
-
[
20
].
T
o
v
alid
ate
th
e
s
i
m
u
latio
n
r
esu
lt
s
,
t
h
e
p
r
o
p
o
s
ed
co
n
tr
o
l
s
tr
ateg
y
i
s
i
m
p
le
m
e
n
ted
d
ig
i
t
all
y
u
s
i
n
g
FP
GA
W
av
ec
t
co
n
tr
o
ller
an
d
g
en
er
ated
p
u
l
s
es
w
er
e
ap
p
lied
to
Se
m
i
k
r
o
n
m
a
k
e
T
h
r
ee
-
p
h
a
s
e
5
-
le
v
el
ca
s
ca
d
ed
H
-
b
r
id
g
e
in
v
er
ter
w
ith
R
L
-
l
o
ad
.
T
h
e
W
av
ec
t
s
o
f
t
w
ar
e
t
o
o
l
m
a
k
es
th
e
h
ar
d
w
ar
e
i
m
p
le
m
en
ta
tio
n
m
o
r
e
ac
cu
r
ate.
T
h
e
W
av
ec
t
is
a
r
ea
l
ti
m
e
ca
p
tu
r
i
n
g
a
n
d
p
lo
ttin
g
o
f
an
alo
g
v
o
lta
g
e
an
d
cu
r
r
e
n
t
s
i
g
n
al
s
.
I
t
ca
n
h
a
v
e
a
d
ir
ec
t
lin
k
to
M
A
T
L
A
B
Si
m
u
lin
k
s
o
f
t
w
ar
e.
Usi
n
g
th
i
s
s
o
f
t
w
ar
e
th
e
al
g
o
r
ith
m
s
ca
n
b
e
s
ch
e
m
atica
ll
y
r
ep
r
esen
ted
in
X
SG
Si
m
u
li
n
k
en
v
ir
o
n
m
e
n
t
a
n
d
t
h
e
g
e
n
er
ate
d
co
d
e
ca
n
b
e
tr
an
s
f
er
r
ed
to
FP
GA
co
n
tr
o
ller
f
o
r
h
ar
d
w
ar
e
i
m
p
le
m
e
n
tat
io
n
.
Vo
ltag
e,
cu
r
r
en
t
an
d
s
p
ee
d
s
en
s
o
r
s
p
r
esen
t
in
th
e
to
o
l
m
a
k
e
s
A
D
C
an
d
s
e
n
s
o
r
in
ter
f
ac
in
g
s
i
m
p
le
[
21
].
T
h
e
s
i
m
u
lat
io
n
r
esu
lts
an
d
h
a
r
d
w
ar
e
i
m
p
le
m
e
n
tat
io
n
r
esu
l
t
s
o
f
th
e
p
r
o
p
o
s
ed
PW
M
tech
n
iq
u
e
f
o
r
a
th
r
ee
-
p
h
ase
5
-
le
v
el
ca
s
ca
d
ed
in
v
er
ter
clo
s
el
y
ag
r
ee
s
w
it
h
ea
ch
o
th
er
.
T
h
e
r
an
g
e
o
f
t
h
e
o
u
tp
u
t
v
o
lta
g
e
o
f
t
h
e
in
v
er
ter
h
a
s
in
cr
ea
s
ed
in
d
icati
n
g
h
i
g
h
er
DC
b
u
s
u
ti
lizatio
n
.
T
h
e
W
av
ec
t
co
n
tr
o
ller
h
as
r
esu
lted
i
n
r
ed
u
cin
g
th
e
i
m
p
le
m
e
n
tatio
n
ti
m
e
o
f
t
h
e
co
n
tr
o
l stra
teg
y
.
2.
M
O
DIFIE
D
M
UL
T
I
CARR
I
E
R
P
WM
T
E
CH
N
I
Q
UE
2
.
1
.
G
ener
a
t
io
n o
f
E
llip
t
ica
l
M
o
du
la
t
ing
Wa
v
e
Usi
ng
XSG
I
n
t
h
e
p
r
o
p
o
s
ed
MCP
W
M
tech
n
iq
u
e,
t
h
e
ell
ip
s
e
w
a
v
e
i
s
co
m
p
ar
ed
w
it
h
tr
ia
n
g
u
lar
ca
r
r
ier
w
a
v
e.
T
h
e
eq
u
atio
n
s
u
s
ed
to
g
en
er
at
e
th
e
ellip
tical
w
a
v
e
ar
e
g
i
v
en
b
y
[
1
5
]:
A
=
a
(
i
)
+
r
×
c
os
(
t
)
(
1
)
B
=
b
(
i
)
+
V
m
×
s
in
(
t
)
(
2
)
W
h
er
e
in
th
e
eq
u
a
tio
n
(
1
)
an
d
(
2
)
:
r
-
is
th
e
r
ad
iu
s
o
f
t
h
e
ellip
tica
l
w
a
v
e
w
h
ich
r
ep
r
esen
ts
t
h
e
f
r
eq
u
en
c
y
a
n
d
V
m
-
is
t
h
e
a
m
p
lit
u
d
e
o
f
t
h
e
el
lip
tical
w
a
v
e.
A
a
n
d
B
ar
e
th
e
C
o
o
r
d
in
ates o
f
ellip
tical
w
a
v
e
at
an
y
i
n
s
ta
n
t
o
f
ti
m
e
t.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J
P
o
w
er
E
lectr
o
n
&
Dr
i
S
y
s
t
I
SS
N:
2088
-
8
694
Dig
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l Co
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tr
o
l o
f Th
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P
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a
s
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C
a
s
ca
d
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ltil
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r
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F
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GA
W
a
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To
o
l (
C
h
in
ma
yi
)
191
Fig
u
r
e
1
s
h
o
w
s
t
h
e
alg
o
r
it
h
m
f
o
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w
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a
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s
g
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p
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itial
x
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ates
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ates
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h
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w
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(
a,
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co
o
r
d
in
ates f
r
o
m
(
0
to
2
π)
.
T
h
e
ellip
tical
m
o
d
u
lat
in
g
w
a
v
e
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en
er
ated
o
n
M
A
T
L
A
B
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p
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o
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u
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lo
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ic
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o
w
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Fi
g
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r
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.
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h
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co
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ter
s
an
d
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b
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ar
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u
s
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to
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tical
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e
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y
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r
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f
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en
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s
w
ith
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c
k
p
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d
o
f
2
5
n
s
ec
,
0
.
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p
r
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ed
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W
M
tech
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iq
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e
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s
ap
p
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th
r
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p
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ase
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M
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ter
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tech
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M
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(
r
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d
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
694
I
n
t J
P
o
w
er
E
lectr
o
n
&
Dr
i S
y
s
t
,
Vo
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9
,
No
.
1
,
Ma
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tech
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as
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ab
le
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d
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W
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ca
n
b
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s
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RE
F
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NC
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S
[1
]
G
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W
a
lt
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n
d
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o
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ri
(
2
0
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0
),
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ll
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ries
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IEE
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ra
n
sa
c
ti
o
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I
n
d
u
stria
l
El
e
c
tro
n
ics
,
Vo
l.
5
7
.
N
o
8
A
u
g
2
0
1
0
[2
]
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n
M
e
i,
Ba
li
o
X
ia
o
,
L
e
o
n
M
a
n
d
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n
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g
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0
1
3
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u
lar
M
u
lt
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l
In
v
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w
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o
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e
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ra
to
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T
ra
n
sa
c
ti
o
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s
o
n
Po
we
r
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e
c
t
ro
n
ics
,
V
o
l.
2
8
,
No
.
1
1
,
p
p
.
5
0
6
3
-
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0
7
3
,
No
v
2
0
1
3
[3
]
V
e
n
k
a
tac
h
a
lam
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m
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r
Ch
in
n
a
iy
a
n
,
Jo
v
it
h
a
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ro
m
e
a
n
d
J.
Ka
rp
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g
a
m
,
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A
n
E
x
p
e
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n
tal
In
v
e
stig
a
ti
o
n
o
n
a
M
u
lt
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l
In
v
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f
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r
so
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rg
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p
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ti
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ms
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4
7
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p
p
.
1
5
7
-
1
6
7
,
2
0
13
[4
]
P
a
n
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g
io
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P
a
n
a
g
is,
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o
ti
s
S
terg
io
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lo
s,
P
a
n
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ra
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a
s
a
n
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t
e
fa
n
o
s
M
a
n
ias
,
“
Co
m
p
a
riso
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S
tate
o
f
th
e
A
rt
M
u
lt
il
e
v
e
l
In
v
e
rters
,
”
Po
we
r
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e
c
tro
n
ics
S
p
e
c
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li
sts
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n
fer
e
n
c
e
,
PE
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C.
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,
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o
i:
1
0
.
1
1
0
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/
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E
S
C
,
IS
S
N:
0
2
7
5
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3
0
6
p
p
:
4
2
9
6
–
4
3
0
1
,
2
0
0
8
[5
]
S
rin
iv
a
sa
Ra
o
Ya
rlag
a
d
d
a
a
n
d
M
u
k
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sh
Ku
m
a
r
P
a
th
a
k
,
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A
Zero
S
e
q
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e
n
c
e
V
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lt
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g
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jec
ti
o
n
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th
o
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f
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r
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sc
a
d
e
d
H
-
b
rid
g
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D
-
S
T
AT
COM”,
J
o
u
rn
a
l
o
f
P
o
we
r E
lec
tro
n
ics
,
In
p
re
ss
,
t
o
b
e
p
u
b
li
sh
e
d
.
[6
]
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d
M
o
h
a
n
,
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d
e
lan
d
,
W
il
li
a
m
P
Ro
b
b
i
n
s
(2
0
1
2
),
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o
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r
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c
t
ro
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v
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rters
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p
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sig
n
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ia T
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ird
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d
it
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o
n
,
p
p
–
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2
5
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2
7
[7
]
K.
V
i
n
o
t
h
Ku
m
a
r,
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ra
w
in
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n
g
e
l
M
ich
a
e
l,
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se
p
h
P
.
Jo
h
n
a
n
d
Dr.
S
.
S
u
re
sh
Ku
m
a
r,
“
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im
u
latio
n
A
n
d
C
o
m
p
a
riso
n
Of
S
P
W
M
A
n
d
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VP
W
M
Co
n
tro
l
F
o
r
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h
re
e
P
h
a
se
In
v
e
rter,”
AR
P
N
J
o
u
rn
a
l
o
f
En
g
in
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e
rin
g
a
n
d
Ap
p
li
e
d
S
c
ien
c
e
s
,
IS
S
N 1
8
1
9
-
6
6
0
8
,
V
o
l
.
5
,
No
.
7
,
Ju
ly
2
0
1
0
[8
]
R.
V
ij
a
y
Ku
m
a
r
Dr.
A
la
m
e
lu
Na
tch
iap
a
n
,
C.
De
v
il
a
li
th
a
,
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e
lec
ti
v
e
Ha
r
m
o
n
ic
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im
in
a
ti
o
n
P
W
M
M
e
th
o
d
u
si
n
g
S
e
v
e
n
L
e
v
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l
In
v
e
rters
b
y
Ge
n
e
ti
c
A
l
g
o
rit
h
m
Op
ti
m
iz
a
ti
o
n
T
e
c
h
n
iq
u
e
,
”
IJ
ER
T
,
Vo
l.
4
,
Iss
u
e
.
0
2
,
I
S
S
N:
2
2
7
8
-
0
1
8
1
,
F
e
b
2
0
1
5
[9
]
Ra
so
u
l
S
h
a
lch
i,
S
e
y
y
e
d
Ho
ss
e
in
Ho
ss
e
in
i
,
(2
0
1
5
)
“
A
Ne
w
M
u
lt
il
e
v
e
l
In
v
e
rter
S
tr
u
c
tu
re
f
o
r
Hig
h
-
P
o
w
e
r
A
p
p
li
c
a
ti
o
n
s
Us
in
g
M
u
lt
ica
rrier
P
W
M
S
w
it
c
h
in
g
S
trate
g
y
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Po
we
r
El
e
c
tr
o
n
ics
a
n
d
Dr
ive
S
y
ste
ms
(
IJ
PE
DS
)
,
V
o
l.
6
,
N
o
.
2
,
p
p
:3
1
8
-
3
2
5
,
IS
S
N:
2
0
8
8
-
8
6
9
4
,
J
u
n
e
2
0
1
5
[1
0
]
Bo
g
im
i
srish
a
,
P
.
S
a
ti
s
h
Ku
m
a
r
,
(2
0
1
7
),
“
A
S
i
m
p
li
f
i
e
d
S
p
a
c
e
V
e
c
to
r
P
u
lse
W
id
th
M
o
d
u
lat
io
n
M
e
th
o
d
In
c
lu
d
in
g
Ov
e
r
M
o
d
u
latio
n
Op
e
ra
ti
o
n
f
o
r
F
iv
e
L
e
v
e
l
Ca
sc
a
d
e
d
H
-
b
rid
g
e
In
v
e
rter
w
it
h
F
P
GA
I
m
p
le
m
e
n
tatio
n
”
,
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
ms
(
IJ
PE
DS
),
V
o
l
.
8
,
No
.
3
,
p
p
:
1
2
0
3
-
1
2
1
1
,
I
S
S
N:
2
0
8
8
-
8
6
9
4
,
S
e
p
tem
b
e
r
2
0
1
7
[1
1
]
S
h
a
n
tan
u
Ch
a
tt
e
rjee
,
(2
0
1
3
),
“
A
M
u
lt
il
e
v
e
l
In
v
e
rter
Ba
se
d
o
n
S
VP
W
M
T
e
c
h
n
iq
u
e
f
o
r
P
h
o
t
o
v
o
lt
a
i
c
A
p
p
li
c
a
ti
o
n
”
,
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
(
IJ
PE
DS
),
V
o
l.
3
,
No
.
1
,
p
p
:6
7
-
7
3
,
IS
S
N:
2
0
8
8
-
8
6
9
4
,
M
a
rc
h
2
0
1
3
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
P
o
w
er
E
lectr
o
n
&
Dr
i
S
y
s
t
I
SS
N:
2088
-
8
694
Dig
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tr
o
l o
f Th
r
ee
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P
h
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s
e
C
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To
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197
[1
2
]
V
.
M
a
n
im
a
la,
M
rs.N.Ge
e
th
a
.
M
.
E,
Dr.P
.
Re
n
u
g
a
,
“
De
sig
n
a
n
d
S
im
u
latio
n
o
f
F
iv
e
L
e
v
e
l
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s
c
a
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e
d
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v
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rter
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g
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u
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u
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a
l
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lse
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o
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u
lati
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trate
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ies
,
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3
rd
In
t
e
rn
a
ti
o
n
a
l
C
o
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fer
e
n
c
e
o
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El
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Co
mp
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h
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IE
EE
,
9
7
8
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1
-
4
2
4
4
-
8
6
7
9
-
3
,
2
0
1
1
[1
3
]
M
.
A
n
g
u
lo
,
P
.
L
e
z
a
n
a
,
S
.
Ko
u
ro
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2
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v
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ra
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to
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v
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u
rn
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p
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td
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,
(
2
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lu
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m
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G
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h
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ll
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n
IEE
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COM
P
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2
0
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,
S
tan
f
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rd
Un
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rsity
,
Ca
li
f
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rn
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USA
,
IS
S
N
:
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s
so
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-
3
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p
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IIT
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