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y
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io
n
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m
.
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n
3
o
f
th
e
p
ap
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ts
th
e
d
esi
g
n
o
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t
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y
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g
ic
co
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l
(
FL
C
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.
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n
th
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ip
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f
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w
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A
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)
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ted
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all
y
,
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m
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la
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es
u
lt
s
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d
co
n
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u
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n
s
ar
e
s
u
m
m
ar
is
ed
in
Sectio
n
4
an
d
5
r
esp
ec
tiv
el
y
.
Fig
u
r
e
1
.
A
tla
s
o
f
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er
a
g
e
w
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n
d
s
p
ee
d
o
f
A
lg
er
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e
s
ti
m
ated
at
1
0
m
ab
o
v
e
th
e
g
r
o
u
n
d
[
3
]
2.
M
O
DE
L
L
I
N
G
O
F
WI
ND
T
URB
I
NE
G
E
NE
R
AT
O
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ST
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M
T
h
e
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s
h
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w
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n
Fig
u
r
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2
[
4
]
.
T
ab
le
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d
Fig
u
r
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ar
e
p
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ted
ce
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ter
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n
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elo
w
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d
cited
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.
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.
T
h
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co
n
n
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ted
to
a
p
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2
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in
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m
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
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p
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n
g
,
Vo
l.
10
,
No
.
5
,
Octo
b
e
r
2
0
2
0
:
5
2
6
2
-
5273
5264
2
.
1
.
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o
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urbin
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t
u
r
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e
d
es
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in
Fig
u
r
e
3
[
5
-
7
]
.
G
1
G
1
m
ec
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em
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ine
f
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1
m
ec
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g
Τ
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r
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Fig
u
r
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3
.
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y
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ic
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p
ea
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t
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e
r
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r
o
f
th
e
tu
r
b
i
n
e
is
[
8
,
9
]:
=
.
=
(
,
)
.
3
2
(
1
)
T
h
e
ae
r
o
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y
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a
m
ic
to
r
q
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e
is
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ir
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tl
y
d
eter
m
i
n
ed
b
y
;
T
=
Ω
=
.
3
2
.
1
Ω
(
2
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2
.
2
.
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o
del o
f
t
he
DF
I
G
T
h
e
m
at
h
e
m
a
tical
m
o
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el
o
f
th
e
a
s
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n
c
h
r
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o
u
s
m
ac
h
in
e
in
m
atr
i
x
f
o
r
m
is
w
r
itte
n
as
[
10
-
12
]:
T
h
e
s
tate
s
p
ac
e
eq
u
atio
n
s
o
f
t
h
e
in
d
u
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n
m
ac
h
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ca
n
b
e
w
r
itte
n
i
n
m
a
tr
ix
;
[
]
=
[
]
[
]
+
[
]
[
]
(
3
)
w
h
er
e;
=
[
ϕ
ϕ
i
i
]
=
[
]
(
4
)
=
[
−
1
T
s
ω
s
L
m
T
s
0
−
ω
s
−
1
T
s
0
L
m
T
s
1
−
σ
L
m
σ
T
s
1
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L
m
σ
ω
m
−
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1
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T
r
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σ
T
s
)
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r
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m
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σ
T
s
−
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r
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(
1
σ
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r
+
1
−
σ
σ
T
s
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]
(
5
)
=
[
1
0
0
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0
1
0
0
−
1
−
L
m
0
1
0
0
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−
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(
6
)
w
h
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e:
T
s
=
L
s
R
s
,
T
r
=
L
r
R
r
an
d
σ
=
1
−
L
m
2
L
s
L
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
o
w
er fu
z
z
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d
a
p
tive
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n
tr
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l f
o
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tu
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e
(
Ya
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Ho
cin
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5265
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h
e
ac
tiv
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d
r
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ctiv
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p
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er
s
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iv
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n
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y
t
h
e
f
o
llo
w
i
n
g
e
x
p
r
ess
io
n
s
[
10
,
1
3
]:
{
=
+
=
−
(
7
)
T
ak
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g
i
n
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ac
co
u
n
t th
e
o
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t
atio
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t
h
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l
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x
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14
-
1
8
];
ϕ
ds
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ϕ
s
;
ϕ
qs
=
0
(
8
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ϕ
qs
=
0
(9
)
{
=
+
=
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1
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−
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m
2
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−
L
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m
2
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+
(
−
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m
2
)
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m
(
1
3
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I
n
t
h
ese
eq
u
a
tio
n
s
,
R
s
,
R
r
,
L
s
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d
L
r
d
en
o
te
r
e
s
p
ec
tiv
e
l
y
t
h
e
r
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s
ta
n
ce
s
a
n
d
i
n
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u
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ce
s
o
f
th
e
s
ta
to
r
w
i
n
d
in
g
s
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d
r
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to
r
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M
is
th
e
c
y
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m
u
tu
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n
d
u
cta
n
ce
,
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r
=p
.
Ω
r
is
th
e
r
o
to
r
s
p
ee
d
(
w
it
h
p
th
e
n
u
m
b
er
o
f
p
o
le
p
air
s
)
an
d
ωs
is
th
e
s
y
n
c
h
r
o
n
o
u
s
an
g
u
la
r
s
p
ee
d
.
v
d
s
,
vq
s
,
vd
r
,
v
q
r
,
id
s
,
iq
s
,
id
r
,
iq
r
,
ds
,
qs
,
dr
a
n
d
qr
ar
e
r
esp
ec
ti
v
el
y
th
e
d
ir
ec
t
an
d
q
u
ad
r
atic
co
m
p
o
n
en
t
s
o
f
v
o
lta
g
es,
c
u
r
r
en
ts
a
n
d
f
l
u
x
es
in
th
e
s
tato
r
an
d
r
o
to
r
.
W
h
ile
th
e
s
e
eq
u
atio
n
s
ar
e
u
s
ed
to
estab
l
is
h
a
b
lo
c
k
d
iag
r
a
m
o
f
th
e
ele
ctr
ical
s
y
s
te
m
to
b
e
co
n
tr
o
lled
as
s
h
o
w
n
i
n
F
i
g
u
r
e
4
[
1
0
]
.
Kn
o
w
i
n
g
th
e
s
e
eq
u
atio
n
s
,
it
is
t
h
en
p
o
s
s
ib
le
to
s
y
n
th
e
s
ize
th
e
r
eg
u
lato
r
s
,
w
h
er
e
t
h
e
in
p
u
t
b
lo
ck
s
r
elatin
g
Vd
r
to
Vq
r
r
e
p
r
esen
t
th
e
s
i
m
p
l
if
ied
r
o
to
r
co
n
v
er
ter
m
o
d
el
.
(
1
)
[
1
+
(
)
]
2
(
1
)
[
1
+
(
)
]
(
−
)
(
−
)
2
[
1
+
(
)
]
T
1
J
+
T
m
m
m
m
Fig
u
r
e
4
.
B
lo
ck
d
iag
r
a
m
o
f
t
h
e
s
y
s
te
m
to
b
e
co
n
tr
o
lled
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
5
,
Octo
b
e
r
2
0
2
0
:
5
2
6
2
-
5273
5266
3.
DE
S
I
G
N
O
F
T
H
E
P
RO
P
O
S
E
D
F
U
Z
Z
Y
L
O
G
I
C
-
B
ASE
D
CO
NT
RO
L
L
E
RS
3
.
1
.
F
L
C
co
ntr
o
ller
[
1
4
,
1
5
,
1
6
,
1
9
,
2
0
]
T
h
e
f
o
llo
w
i
n
g
s
tr
u
ct
u
r
e
s
h
o
w
th
e
d
iag
r
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m
o
f
an
F
L
C
co
n
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o
l
ler
,
w
h
er
e
Fi
g
u
r
e
5
r
ep
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Fu
zz
y
-
P
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co
n
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o
l stra
teg
y
w
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s
Fi
g
u
r
e
6
s
h
o
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h
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m
e
m
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er
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ip
f
u
n
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tio
n
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ap
p
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.
1
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2
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3
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1
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z
e
e
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P
B
n
B
n
s
p
s
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i
r
(
A
)
-
1
0
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1
Fig
u
r
e
5
.
Stru
ct
u
r
e
o
f
th
e
F
L
C
co
n
tr
o
ller
Fig
u
r
e
6
.
Me
m
b
er
s
h
ip
f
u
n
ctio
n
s
(
tr
ian
g
u
lar
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
w
it
h
h
a
v
e
a
tr
ap
ez
o
id
al
en
d
s
)
F
L
C
1
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L
C
2
F
L
C
3
k
p
k
d
k
i
d
/
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t
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d
t
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s
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e
m
d
/
d
t
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s
r
P
s
r
+
+
+
+
+
+
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+
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P
s
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s
Fig
u
r
e
7
.
Stru
ct
u
r
e
o
f
th
e
f
u
zz
y
ad
ap
tiv
e
g
ai
n
co
n
tr
o
ller
[
21
-
2
5
]
T
h
e
p
r
o
p
o
s
ed
a
d
ap
tatio
n
o
f
g
a
i
n
s
i
s
ex
p
r
ess
ed
as
f
o
llo
w
s
s
h
o
w
n
i
n
Fi
g
u
r
es 7
:
′
=
+
(
+
∆
)
,
′
=
+
(
+
∆
)
an
d
′
=
+
(
+
∆
)
w
h
er
e
′
,
′
an
d
′
ar
e
th
e
ad
ap
tati
o
n
g
ain
s
an
d
is
th
e
o
u
tp
u
t
o
f
ad
ap
tatio
n
a
ctio
n
b
ased
o
n
T
a
b
les
1
-
3,
an
d
∆
ar
e
th
e
er
r
o
r
e
an
d
its
v
a
r
iatio
n
.
C
e
n
ter
o
f
g
r
av
it
y
ap
p
r
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h
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u
s
ed
to
d
e
f
u
zz
i
f
y
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h
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le
o
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e
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y
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te
m
.
T
h
e
s
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ted
m
e
m
b
er
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h
ip
f
u
n
ctio
n
s
s
y
m
m
etr
ical
tr
ap
ez
o
id
al
s
h
ap
e.
W
e
co
n
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er
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t
h
e
m
et
h
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d
o
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ce
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ter
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f
g
r
a
v
it
y
d
ef
u
zz
i
f
icati
o
n
.
Su
b
s
et
s
f
u
zz
y
m
e
m
b
er
s
h
ip
ar
e
n
o
ted
as f
o
llo
w
s
:
NB
:
Neg
ati
v
e
B
ig
;
P
Z
:
P
o
s
iti
v
e
Z
er
o
;
N
Z
:
Neg
a
tiv
e
Z
er
o
;
NM
:
Ne
g
ati
v
e
Me
d
i
u
m
P
S:
P
o
s
itiv
e
S
m
all;
P
B
:
P
o
s
itiv
e
B
ig
; N
S
: N
eg
ati
v
e
S
m
all: P
M:
P
o
s
itiv
e
Me
d
i
u
m
Z
:
Z
er
o
T
h
e
ad
ap
tiv
e
f
u
zz
y
co
n
tr
o
ller
p
r
o
p
o
s
ed
b
ased
m
ai
n
l
y
an
a
d
ap
tiv
e
m
ec
h
a
n
is
m
b
y
f
u
zz
y
lo
g
ic
(
MA
F).
T
h
e
m
a
in
a
i
m
o
f
f
u
zz
y
ad
ap
t
atio
n
m
ec
h
a
n
is
m
is
to
b
u
i
ld
a
tab
le
o
f
in
f
er
e
n
ce
r
u
le
s
f
o
r
o
n
li
n
e
ad
ap
tatio
n
o
f
g
ain
s
.
T
h
e
n
o
v
elt
y
o
f
t
h
e
m
eth
o
d
is
th
e
o
n
li
n
e
ad
j
u
s
ti
n
g
p
ar
am
eter
s
o
f
t
h
e
co
r
r
ec
to
r
in
o
r
d
er
to
k
ee
p
th
e
d
e
s
ir
ed
p
er
f
o
r
m
a
n
ce
le
v
el
is
m
ai
n
l
y
to
d
ef
in
e
a
f
u
zz
y
co
n
tr
o
ller
th
at
ad
j
u
s
ts
t
h
e
co
r
r
ec
tio
n
p
ar
am
e
ter
s
an
d
g
en
er
ate
s
h
er
n
e
w
p
ar
a
m
eter
s
s
o
th
at
ad
ap
ts
to
all
co
n
d
itio
n
s
o
f
o
p
er
atio
n
s
,
b
ein
g
b
ased
o
n
er
r
o
r
an
d
its
d
er
iv
ati
v
e.
T
ab
le
1.
I
n
f
er
en
ce
tab
le
estab
lis
h
ed
f
o
r
th
e
ad
ap
tatio
n
g
ai
n
k
p
e
n
Δe
n
NB
NM
NS
Z
PS
PM
PB
NB
PB
PM
PB
PB
PB
Z
NB
NM
PM
PS
PM
PM
PM
NS
NM
NS
PS
Z
PS
PS
PS
NM
NB
PS
NB
NB
PS
PS
PS
Z
PS
PM
NB
NS
PM
PM
PM
PS
PM
PB
NB
Z
PB
PB
PB
PM
PB
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
o
w
er fu
z
z
y
a
d
a
p
tive
co
n
tr
o
l f
o
r
w
in
d
tu
r
b
i
n
e
(
Ya
cin
e
Ho
cin
i
)
5267
T
ab
le
2
.
I
n
f
er
en
ce
tab
le
estab
lis
h
ed
f
o
r
th
e
ad
ap
tatio
n
g
ai
n
k
i
e
n
Δe
n
NB
NM
NS
NZ
PZ
PS
PM
PB
NB
PB
PM
PM
PS
NB
NM
Z
Z
NM
PB
PM
PS
PS
NM
NS
Z
PS
NS
PB
PS
Z
Z
Z
Z
PS
PB
Z
PB
PS
Z
Z
Z
Z
PM
PB
PS
PM
PS
Z
Z
Z
Z
PM
PB
PM
PS
Z
NS
NM
PS
PS
PB
PB
PB
Z
Z
NM
NB
PM
PM
PB
PB
T
ab
le
3
.
I
n
f
er
en
ce
tab
le
estab
lis
h
ed
f
o
r
th
e
ad
ap
tatio
n
g
ai
n
k
d
e
n
Δe
n
NB
NM
NS
Z
PS
PM
PB
NB
PB
PB
PB
NM
NM
Z
Z
NM
PB
PB
PM
NS
NS
Z
PS
NS
PB
PB
PS
Z
Z
PS
PB
Z
PB
PM
PS
Z
PS
PM
PB
PS
PM
PS
Z
Z
PS
PM
PB
PM
PS
Z
NS
NS
PM
PB
PB
PB
Z
Z
NM
NM
PB
PB
PB
4.
SI
M
UL
AT
I
O
N
R
E
S
UL
T
S
T
h
is
s
ec
tio
n
p
r
ese
n
ts
t
h
e
s
i
m
u
lat
io
n
r
es
u
lts
to
ev
al
u
ate
an
d
co
m
p
ar
e
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
co
n
tr
o
ller
s
.
4
.
1
.
F
uzzy
co
ntr
o
l
T
ests
w
er
e
ca
r
r
ied
o
u
t
w
h
ich
co
n
s
is
t
in
ac
h
ie
v
e
ac
tiv
e
an
d
r
ea
ctiv
e
p
o
w
er
lev
els
w
h
ile
m
ac
h
in
e
is
d
r
iv
en
f
ix
ed
s
p
ee
d
.
T
est co
n
d
itio
n
s
:
A
cti
v
e
p
o
w
er
r
e
m
ain
s
al
m
o
s
t
co
n
s
ta
n
t a
t
-
7
0
0
0
W
.
A
t t
=
2
s
ec
: r
ea
cti
v
e
p
o
w
er
le
v
el
r
an
g
es f
r
o
m
1
0
,
0
0
0
to
-
1
0
,
0
0
0
VA
R
.
A
t t
=
1
.
5
s
ec
: a
ctiv
e
p
o
w
er
ec
h
elo
n
,
r
an
g
e
f
r
o
m
-
3
0
0
0
to
-
6
0
0
0
W
th
en
-
6
0
0
0
to
-
8
0
0
0
W
.
T
h
e
r
ea
ctiv
e
p
o
w
er
o
f
t
h
e
m
ac
h
in
e
i
s
m
ain
tain
ed
al
m
o
s
t c
o
n
s
tan
t a
t 1
0
0
0
0
W
.
Fig
u
r
e
s
8
an
d
9
s
h
o
w
s
i
m
u
lati
o
n
r
esu
lt
s
o
f
t
h
e
d
if
f
er
en
t
s
tep
in
p
u
t
s
f
o
r
an
ac
ti
v
e
a
n
d
a
r
ea
ctiv
e
p
o
w
er
.
T
h
e
r
esu
lts
s
h
o
w
t
h
at
le
v
els
o
f
r
ef
er
en
ce
s
o
f
ac
ti
v
e
an
d
r
ea
ctiv
e
p
o
w
er
i
m
p
o
s
ed
o
n
th
e
DFI
G
ar
e
f
o
llo
w
ed
w
it
h
o
u
t
o
v
er
s
h
o
o
t
an
d
a
r
esp
o
n
s
e
ti
m
e
0
.
2
2
5
s
ec
f
o
r
ac
ti
v
e
p
o
w
er
an
d
0
.
3
5
s
ec
f
o
r
r
ea
ct
iv
e
p
o
w
er
.
Fig
u
r
e
9
s
h
o
w
th
e
p
u
r
s
u
i
t
r
ef
er
en
ce
s
o
f
p
o
w
er
s
is
s
ati
s
f
ied
.
Mo
r
e
o
v
er
,
d
ec
o
u
p
lin
g
is
a
s
s
ig
n
ed
o
n
th
e
s
et
ch
a
n
g
e.
T
h
is
is
r
ef
lecte
d
b
y
a
p
ic
o
f
ac
tiv
e
p
o
w
er
a
n
d
a
r
elativ
e
d
r
o
p
o
f
r
ea
ctiv
e
p
o
w
er
(
a
)
(
b
)
Fig
u
r
e
8
.
Si
m
u
latio
n
R
es
u
lt
s
b
y
f
u
zz
y
P
I
,
(
P
=
co
n
s
tan
t)
,
(
a
)
r
esp
o
n
s
es o
f
ac
ti
v
e
p
o
w
er
a
n
d
(
b
)
r
esp
o
n
s
es o
f
r
ea
cti
v
e
p
o
w
er
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
5
,
Octo
b
e
r
2
0
2
0
:
5
2
6
2
-
5273
5268
(
a
)
(
b
)
Fig
u
r
e
9
.
Si
m
u
latio
n
R
es
u
lt
s
b
y
f
u
zz
y
P
I
,
(
Q
=
co
n
s
tan
t)
,
(
a
)
r
esp
o
n
s
es o
f
ac
ti
v
e
p
o
w
er
a
n
d
(
b
)
r
esp
o
n
s
es o
f
r
ea
cti
v
e
p
o
w
e
r
4
.
2
.
Ada
ptiv
e
f
uzzy
co
ntr
o
ller
I
n
o
r
d
er
to
im
p
r
o
v
e
th
e
r
esp
o
n
s
e
o
f
th
e
s
y
s
te
m
a
m
o
r
e
r
o
b
u
s
t
ad
ap
tiv
e
f
u
zz
y
co
n
tr
o
ller
is
p
r
o
p
o
s
ed
.
T
h
e
p
er
f
o
r
m
a
n
ce
s
o
f
th
i
s
co
n
t
r
o
ller
ar
e
illu
s
tr
ated
in
t
h
e
f
o
ll
o
w
i
n
g
s
i
m
u
latio
n
r
es
u
lt
s
.
Fi
g
u
r
es 1
0
an
d
1
1
s
h
o
w
th
e
d
y
n
a
m
ic
r
esp
o
n
s
e
f
o
r
t
h
e
d
if
f
er
en
t
s
tep
v
al
u
es
o
n
t
h
e
ac
tiv
e
an
d
r
ea
cti
v
e
p
o
w
er
w
h
er
ea
s
Fi
g
u
r
es
1
2
an
d
1
3
s
h
o
w
t
h
e
e
v
o
l
u
tio
n
o
f
t
h
e
g
ai
n
s
w
h
e
n
th
e
s
et
p
o
in
ts
c
h
an
g
e
.
R
es
u
lts
o
f
t
h
e
ad
ap
tiv
e
f
u
zz
y
s
h
o
w
clea
r
l
y
i
m
p
r
o
v
ed
d
y
n
a
m
ic
r
esp
o
n
s
e
o
f
ac
ti
v
e
a
n
d
r
ea
ctiv
e
p
o
w
er
w
it
h
o
u
t
o
v
er
s
h
o
o
t
f
o
r
r
ea
ctiv
e
p
o
w
er
.
B
o
th
p
o
w
er
s
r
ea
ch
t
h
eir
r
ef
er
en
ce
s
i
n
0
.
1
5
s
ec
.
I
t
i
s
th
e
b
est
r
esp
o
n
s
e
ti
m
e,
co
m
p
ar
ed
w
it
h
th
a
t
o
b
tain
ed
b
y
th
e
c
lass
ic
f
u
zz
y
co
n
tr
o
ller
.
W
h
en
ch
a
n
g
e
o
r
d
er
s
,
w
e
s
ee
t
h
at
th
e
ad
ap
tiv
e
g
a
in
s
c
h
an
g
es
v
a
lu
es
an
d
t
h
e
y
r
eg
a
in
th
e
ir
p
r
ev
io
u
s
v
alu
e
s
alo
n
g
th
e
s
tead
y
s
tate.
I
t
f
o
llo
w
s
th
a
t
ad
ap
tatio
n
g
ain
s
en
s
u
r
e
s
s
y
s
te
m
s
tab
ili
t
y
.
T
h
is
Fig
u
r
es
co
n
f
ir
m
s
co
n
v
e
r
g
en
ce
o
f
t
h
e
m
ea
s
u
r
ed
v
ar
ia
b
les
to
r
ef
er
en
ce
v
ar
iab
les.
T
h
e
r
esu
lt
s
s
h
o
w
t
h
e
s
u
p
er
io
r
it
y
o
f
ad
ap
ti
v
e
f
u
zz
y
co
n
tr
o
ller
w
ith
a
b
ett
er
r
esp
o
n
s
e
ti
m
e.
So
,
t
h
e
d
ec
o
u
p
lin
g
i
s
u
n
a
f
f
ec
ted
I
t
s
till
p
er
s
is
ts
.
T
h
at
s
h
o
w
s
t
h
e
r
o
b
u
s
tn
es
s
o
f
co
n
tr
o
ller
.
I
n
Fig
u
r
e
1
3
.
W
e
ca
n
s
ee
th
at
g
ain
s
ad
ap
t
to
ev
er
y
ch
an
g
e
o
r
d
er
s
an
d
en
s
u
r
es
f
ast
p
o
w
er
s
co
n
v
er
g
es d
esire
d
v
al
u
es.
(
a
)
(
b
)
Fig
u
r
e
1
0
.
Si
m
u
latio
n
r
es
u
lt
s
o
f
th
e
ad
ap
tiv
e
f
u
zz
y
P
I
D
co
n
t
r
o
lle
r
,
(
a
)
r
esp
o
n
s
es o
f
ac
tiv
e
p
o
w
er
an
d
(
b
)
r
esp
o
n
s
es o
f
r
ea
cti
v
e
p
o
w
e
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
P
o
w
er fu
z
z
y
a
d
a
p
tive
co
n
tr
o
l f
o
r
w
in
d
tu
r
b
i
n
e
(
Ya
cin
e
Ho
cin
i
)
5269
(
a
)
(
b
)
Fig
u
r
e
1
1
.
Si
m
u
latio
n
r
es
u
lt
s
o
f
th
e
ad
ap
tiv
e
f
u
zz
y
P
I
D
co
n
t
r
o
ller
,
(
a
)
r
esp
o
n
s
es o
f
ac
tiv
e
p
o
w
er
an
d
(
b
)
r
esp
o
n
s
es o
f
r
ea
cti
v
e
p
o
w
e
r
(
a)
(
b
)
Fig
u
r
e
1
2
.
A
d
ap
tatio
n
g
ai
n
s
f
o
r
ac
tiv
e
(
a)
an
d
r
ea
ctiv
e
(
b
)
p
o
w
er
(
a
)
(
b
)
Fig
u
r
e
1
3
.
A
d
ap
tatio
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g
ai
n
s
f
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r
ac
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(
a)
an
d
r
ea
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(
b
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p
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w
er
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
5
,
Octo
b
e
r
2
0
2
0
:
5
2
6
2
-
5273
5270
4
.
3
.
Dis
cus
s
io
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nd
co
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pa
ra
t
iv
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s
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4
.
3
.
1
.
PI
f
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co
ntr
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u
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u
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1
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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lec
&
C
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m
p
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n
g
I
SS
N:
2
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Evaluation Warning : The document was created with Spire.PDF for Python.