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[
1
2
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.
W
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[
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[
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IJ
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8938
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r
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et
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it i
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ated
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r
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n
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o
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s
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ter
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Fi
g
u
r
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1
.
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s
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.
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n
f
a
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r
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V
s
y
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te
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er
e
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n
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n
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o
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at
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itate
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t c
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ter
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g
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o
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e
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atin
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.
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n
Fi
g
u
r
e
2
s
h
o
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c
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i
t
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ito
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u
r
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2
.
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ir
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ig
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s
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er
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s
e
t
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e
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ated
f
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Fig
u
r
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3
s
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ig
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ased
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
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8938
IJ
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AI
Vo
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4
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No
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1
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Ma
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1
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:
20
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22
p
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en
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s
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m
.
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u
r
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3
.
P
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v
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S
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s
t Co
n
v
er
ter
3.
SE
V
E
N
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L
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L
I
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R
An
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v
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ter
is
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s
y
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te
m
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n
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er
t
th
e
D
C
p
o
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e
n
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ated
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n
to
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o
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er
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o
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s
e
in
ap
p
lian
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s
.
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h
e
p
r
o
p
o
s
ed
m
u
lt
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el
i
n
v
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ter
s
h
o
w
n
in
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g
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r
e
4
co
n
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t
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o
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s
in
g
le
M
u
lt
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lev
e
l
i
n
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ter
at
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e
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en
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e
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ated
.
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th
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e
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ter
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.
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h
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at
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e
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m
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co
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ten
t a
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d
m
ai
n
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t
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t c
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ter
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ter
Fig
u
r
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4
.
Mu
ltil
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v
el
I
n
v
er
ter
C
ir
cu
it
C
o
n
f
i
g
u
r
at
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n
M
o
des
o
f
o
pera
t
i
o
n f
o
r
s
ev
e
n
-
lev
el
inv
er
t
er
1.
I
n
m
o
d
e
1
th
e
s
w
itch
e
s
S1
an
d
S4
ar
e
in
o
n
s
tate
w
h
i
le
th
e
s
w
itc
h
es
Sc1
,
Sc2
,
S2
an
d
S3
ar
e
in
o
f
f
s
ta
te
co
n
d
itio
n
.
Du
r
i
n
g
th
is
m
o
d
e
t
h
e
ca
p
ac
ito
r
C
1
is
d
is
c
h
ar
g
ed
th
r
o
u
g
h
d
io
d
e.
A
n
d
t
h
e
o
u
tp
u
t
v
o
ltag
e
d
u
r
in
g
th
i
s
m
o
d
e
is
Vd
c/3
.
2.
Du
r
in
g
t
h
i
s
m
o
d
e
2
o
p
er
atio
n
,
th
e
s
w
itc
h
Sc1
i
s
co
n
d
u
cts
alo
n
g
w
it
h
t
h
e
s
w
i
tch
S1
a
n
d
S4
.
T
h
en
t
h
e
ca
p
ac
ito
r
d
is
ch
ar
g
es t
h
r
o
u
g
h
t
h
e
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io
d
e
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d
th
e
o
u
tp
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t
v
o
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e
d
u
r
in
g
t
h
i
s
m
o
d
e
is
2
Vd
c/3
.
3.
I
n
ca
s
e
o
f
m
o
d
e
3
th
e
s
w
itc
h
e
s
Sc1
,
Sc2
,
S1
an
d
S2
f
o
u
r
s
w
itch
es
ar
e
in
co
n
d
u
ctio
n
,
t
h
en
th
e
ca
p
ac
ito
r
s
c1
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d
c2
d
is
ch
ar
g
es t
h
r
o
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g
h
t
h
e
d
io
d
es th
en
t
h
e
o
u
tp
u
t v
o
lt
ag
e
ap
p
ea
r
s
in
th
i
s
m
o
d
e
is
Vd
c.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
N
o
ve
l Neu
r
o
-
F
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en
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le
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n
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(
T P
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K
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ma
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)
23
4.
I
n
t
h
is
ca
s
e
th
e
s
w
itch
e
s
S3
a
n
d
S4
ar
e
co
n
d
u
ct
s
b
y
t
u
r
n
o
f
f
t
h
e
a
ll
o
t
h
er
s
w
itc
h
es.
T
h
er
e
f
o
r
e
th
e
o
u
tp
u
t
v
o
ltag
e
ap
p
ea
r
s
is
ze
r
o
.
5.
T
h
e
r
em
ai
n
i
n
g
s
w
itc
h
es S2
an
d
S3
co
n
d
u
cts f
o
r
g
e
n
er
atin
g
t
h
e
n
e
g
ati
v
e
s
e
v
en
le
v
el
v
o
ltag
e.
T
ab
le
1
.
Sw
itch
in
g
P
atter
n
f
o
r
Sev
e
n
L
e
v
el
I
n
v
er
ter
Sc1
Sc2
S1
S2
S3
S4
Vo
0
0
1
0
0
1
Vd
c/3
1
0
1
0
0
1
2
Vd
c/3
1
1
1
0
0
1
Vd
c
0
0
0
0
1
1
0
4.
CO
NT
RO
L
B
L
O
CK
D
I
A
G
RAM
T
h
is
p
r
o
p
o
s
ed
co
n
tr
o
l
d
iag
r
am
is
d
esi
g
n
ed
f
o
r
co
n
tr
o
llin
g
th
e
b
o
o
s
t
co
n
v
er
ter
an
d
t
h
e
s
ev
e
n
lev
e
l
in
v
er
ter
s
.
T
h
ese
s
e
v
e
n
le
v
el
i
n
v
er
ter
co
n
v
er
ts
t
h
e
d
c
p
o
w
er
a
t
lo
w
le
v
els
to
h
i
g
h
le
v
el
ac
s
y
s
te
m
an
d
p
r
o
v
id
es
th
ese
p
o
w
er
to
u
tili
t
y
g
r
id
s
y
s
te
m
.
I
n
t
h
is
s
elec
tio
n
ca
p
ac
ito
r
s
C
1
an
d
C
2
ar
e
u
s
ed
f
o
r
i
m
p
r
o
v
in
g
t
h
e
v
o
lta
g
e
lev
els.
T
h
e
d
c
to
d
c
co
n
v
er
te
r
is
s
u
p
p
lied
b
y
t
h
e
s
o
lar
p
o
w
er
g
en
er
at
io
n
s
y
s
te
m
alo
n
g
w
it
h
th
e
m
a
x
i
m
u
m
p
o
w
er
p
o
in
t
tr
ac
k
i
n
g
s
y
s
te
m
f
o
r
i
m
p
r
o
v
i
n
g
t
h
e
v
o
lta
g
e
o
f
th
e
s
o
lar
p
o
w
er
p
lan
t.
T
h
ese
co
n
tr
o
l
d
iag
r
a
m
is
s
h
o
w
n
i
n
F
ig
u
r
e
5
an
d
Fig
u
r
e
6
.
P
H
A
S
E
D
L
O
C
K
E
D
L
O
O
P
C
I
R
C
U
I
T
P
W
M
C
K
T
C
O
M
P
A
R
A
T
O
R
C
I
R
C
U
I
T
F
E
E
D
F
O
R
W
A
R
D
C
O
N
T
R
O
L
E
R
D
S
P
C
I
R
C
U
I
T
N
E
U
R
O
-
F
U
Z
Z
Y
C
O
N
T
R
O
L
L
E
R
C
U
R
R
E
N
T
D
E
T
E
C
T
O
R
A
B
S
O
L
U
T
E
C
I
R
C
U
I
T
V
O
L
T
A
G
E
D
E
T
E
C
T
O
R
A
B
S
O
L
U
T
E
C
I
R
C
U
I
T
A
B
S
O
L
U
T
E
C
I
R
C
U
I
T
V
O
L
T
A
G
E
D
E
T
E
C
T
O
R
C
U
R
R
E
N
T
C
O
N
T
R
O
L
E
R
V
c
2
U
T
I
L
I
T
Y
V
O
T
A
G
E
O
U
T
P
U
T
C
U
R
R
E
N
T
0
.
5
S
E
T
V
O
L
T
A
G
E
Fig
u
r
e
5
.
C
lo
s
ed
L
o
o
p
C
o
n
tr
o
l D
iag
r
a
m
f
o
r
Mu
lt
i
-
L
e
v
el
I
n
v
er
ter
F
ig
u
r
e
6
.
C
o
n
tr
o
l B
lo
ck
Diag
r
a
m
f
o
r
Dc
-
Dc
C
o
n
v
er
ter
5.
ADAP
T
I
VE
N
E
URO
-
F
U
Z
Z
Y
I
NF
E
R
E
NC
E
SY
ST
E
M
T
h
e
A
NFI
S
i
s
o
n
e
o
f
th
e
i
m
p
o
r
tan
t
co
n
tr
o
ller
in
ad
ap
tiv
e
tech
n
iq
u
es.
T
h
is
s
ec
tio
n
p
r
o
v
id
es
t
h
e
in
f
o
r
m
atio
n
r
e
g
ar
d
in
g
th
e
d
es
ig
n
in
g
o
f
n
eu
r
o
-
f
u
zz
y
co
n
tr
o
ller
.
T
h
ese
n
e
u
r
al
n
et
w
o
r
k
co
n
tr
o
ller
co
n
s
is
ts
o
f
t
w
o
i
n
p
u
t
s
th
a
t
ar
e
Δ
e
an
d
Δ
d
e
an
d
it
h
a
s
o
n
e
o
u
tp
u
t
t
h
at
is
f
∈
{Δe,
Δ
d
e}
.
E
ac
h
in
p
u
t
co
n
s
i
s
ts
o
f
5
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
s
.
Fi
g
u
r
e
7
s
h
o
w
s
th
e
co
n
f
i
g
u
r
atio
n
o
f
A
N
FIS
f
o
r
a
m
a
m
d
a
n
i
t
y
p
e
a
n
d
it
h
as
t
w
o
in
p
u
t
an
d
o
n
e
o
u
tp
u
t
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
4
,
No
.
1
,
Ma
r
ch
2
0
1
5
:
20
–
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24
Fig
u
r
e
7
.
A
NFI
S
A
r
ch
itect
u
r
e
A
cc
o
r
d
in
g
to
Fig
u
r
e
8
,
it
is
a
m
a
m
d
a
n
i
b
ased
f
u
zz
y
co
n
tr
o
ller
w
it
h
t
w
o
in
p
u
ts
an
d
o
n
e
o
u
tp
u
t
an
d
th
e
r
u
le
s
ar
e
f
o
r
m
ed
ac
co
r
d
in
g
to
i
f
-
th
e
n
s
tate
m
e
n
ts
.
μ
A
i
a
n
d
μ
B
i
ar
e
th
e
m
e
m
b
e
r
s
h
ip
f
u
n
c
tio
n
s
o
f
m
e
m
b
er
s
h
ip
s
w
it
h
t
h
e
f
u
zz
y
s
ets
a
n
d
t
h
ese
i
n
p
u
t
s
ar
e
r
ela
ted
w
it
h
t
h
e
o
p
er
ato
r
lo
g
ical
A
N
D.
T
h
e
h
y
b
r
id
lear
n
in
g
al
g
o
r
ith
m
s
ar
e
i
m
p
le
m
e
n
ted
f
o
r
o
b
tain
in
g
t
h
e
v
alu
e
s
o
f
s
y
s
te
m
p
ar
a
m
e
ter
s
.
T
h
ese
lear
n
in
g
alg
o
r
ith
m
s
i
s
a
f
u
n
ctio
n
o
f
lin
ea
r
an
d
n
o
n
-
lin
ea
r
p
ar
am
eter
s
.
T
h
ese
ex
p
lan
atio
n
s
ar
e
im
p
le
m
e
n
ted
in
Ma
tlab
/Si
m
u
l
in
k
s
o
f
t
w
ar
e.
A
l
g
o
r
ith
m
f
o
r
n
eu
r
o
co
n
tr
o
ller
1.
Ass
u
m
e
th
e
i
n
p
u
t
s
an
d
o
u
tp
u
t
s
in
t
h
e
n
o
r
m
a
lized
f
o
r
m
w
it
h
r
esp
ec
t
to
th
eir
m
ax
i
m
u
m
v
al
u
es
a
n
d
th
ese
ar
e
in
th
e
r
an
g
e
o
f
0
-
1.
2.
Ass
u
r
e
th
e
No
.
o
f
i
n
p
u
t s
tag
e
s
g
iv
e
n
n
et
w
o
r
k
.
3.
I
n
d
icat
e
th
e
No
.
o
f
h
id
d
en
la
y
e
r
s
f
o
r
th
e
n
et
w
o
r
k
.
4.
Desig
n
t
h
e
n
e
w
f
ee
d
f
o
r
w
ar
d
n
et
w
o
r
k
b
ased
o
n
t
h
e
s
y
s
te
m
p
ar
am
eter
s
‘
tr
a
n
s
i
g
’
an
d
‘
p
o
s
l
i
n
’
.
5.
Ass
u
m
e
th
e
lear
n
in
g
r
ate
b
e
0
.
0
2
f
o
r
th
e
g
iv
e
n
n
e
t
w
o
r
k
.
6.
I
d
en
tify
th
e
n
u
m
b
er
o
f
iter
atio
n
s
f
o
r
th
e
s
y
s
te
m
.
7.
E
n
ter
th
e
g
o
al.
8.
T
r
ain
th
e
n
et
w
o
r
k
b
ased
o
n
th
e
g
iv
e
n
i
n
p
u
t a
n
d
o
u
tp
u
t
s
.
9.
Fo
r
th
e
g
i
v
en
n
et
w
o
r
k
Ge
n
er
at
e
s
i
m
u
latio
n
w
it
h
a
co
m
m
an
d
‘
g
e
n
i
s
m
’
F
uzzy
co
ntr
o
ller
K
1
d
/
d
t
k
2
f
u
z
z
i
f
i
c
a
t
i
o
n
D
E
f
u
z
z
i
f
i
c
a
t
i
o
n
K
3
I
N
F
E
R
E
N
C
E
M
E
C
H
A
N
I
S
M
R
U
L
E
B
A
S
E
U
(
t
)
E
(
t
)
Fig
u
r
e
8
.
C
o
n
f
ig
u
r
atio
n
o
f
Fu
zz
y
I
n
f
er
en
ce
S
y
s
te
m
6.
SI
M
UL
AT
I
O
N
E
XP
L
ANA
T
I
O
NS
Fo
r
v
er
i
f
y
i
n
g
th
e
p
er
f
o
r
m
a
n
c
e
o
f
th
e
p
r
o
p
o
s
ed
p
h
o
to
v
o
ltaic
s
y
s
te
m
,
a
co
n
f
i
g
u
r
atio
n
w
as
d
ev
elo
p
ed
w
it
h
a
clo
s
ed
lo
o
p
co
n
tr
o
ller
b
ased
o
n
th
e
f
u
zz
y
co
n
tr
o
ller
.
I
n
th
e
ab
o
v
e
s
h
o
w
n
s
o
lar
p
o
wer
g
en
er
atio
n
s
y
s
te
m
,
th
e
s
o
la
r
s
y
s
te
m
g
e
n
er
ates
th
e
o
u
tp
u
t
v
o
ltag
e
is
n
ea
r
l
y
7
5
.
6
V
an
d
th
is
v
o
lta
g
e
is
b
o
o
s
ted
to
ap
p
r
o
x
i
m
atel
y
9
5
V
w
ith
t
h
e
h
elp
d
c
to
d
c
p
o
w
er
co
n
v
er
ter
an
d
ag
ain
th
is
d
c
v
o
lta
g
e
i
s
i
n
cr
ea
s
ed
to
n
ea
r
l
y
1
8
0
V
w
it
h
t
h
e
h
e
lp
o
f
d
u
al
s
w
itc
h
co
n
t
r
o
lled
d
c
-
d
c
b
o
o
s
t
co
n
v
er
ter
.
T
h
is
b
o
o
s
ted
v
o
ltag
e
is
ap
p
lied
to
s
ev
en
lev
e
l
co
n
v
er
ter
s
y
s
te
m
w
i
th
t
h
e
u
s
e
o
f
ch
ar
g
ed
ca
p
ac
ito
r
s
C
1
an
d
C
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
N
o
ve
l Neu
r
o
-
F
u
z
z
y
C
o
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tr
o
lle
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Mu
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T P
a
va
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K
u
ma
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25
Fig
u
r
e
9
.
Si
m
u
latio
n
Diag
r
a
m
f
o
r
P
r
o
p
o
s
ed
Sy
s
te
m
Fig
u
r
e
1
0
.
Sev
en
L
e
v
el
Ou
tp
u
t V
o
ltag
e
Fig
u
r
e
1
1
.
Ou
tp
u
t C
u
r
r
en
t
0
0
.
0
0
5
0
.
0
1
0
.
0
1
5
0
.
0
2
0
.
0
2
5
0
.
0
3
0
.
0
3
5
0
.
0
4
-8
-6
-4
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0
2
4
6
8
T
i
m
e
O
u
t
p
u
t
C
u
r
r
e
n
t
(
A
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
4
,
No
.
1
,
Ma
r
ch
2
0
1
5
:
20
–
28
26
Fig
u
r
e
1
2
.
Utilit
y
Gr
id
Vo
ltag
e
Fig
u
r
e
1
3
.
Utilit
y
Gr
i
d
Vo
ltag
e
an
d
C
u
r
r
en
t f
o
r
Un
i
t
y
P
o
w
er
Facto
r
Fig
u
r
e
1
4
.
T
HD
f
o
r
Ou
tp
u
t V
o
ltag
e
Adv
a
nta
g
es
1.
No
ca
p
ac
ito
r
Un
b
alan
ce
P
r
o
b
le
m
s
2.
I
m
p
r
o
v
ed
th
e
T
HD
an
d
p
o
w
er
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[
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