I
nte
rna
t
io
na
l J
o
urna
l o
f
P
o
w
er
E
lect
ro
nics
a
nd
Driv
e
Sy
s
t
e
m
(
I
J
P
E
DS
)
Vo
l.
7
,
No
.
3
,
Sep
tem
b
er
2
0
1
6
,
p
p
.
688
~
700
I
SS
N:
2
0
8
8
-
8
6
9
4
,
DOI
: 1
0
.
1
1
5
9
1
/
i
j
p
ed
s
.
v
7
.
i3
.
p
p
6
8
8
-
700
688
J
o
ur
na
l ho
m
ep
a
g
e
:
h
ttp
:
//ia
e
s
jo
u
r
n
a
l.c
o
m/o
n
lin
e/in
d
ex
.
p
h
p
/I
JP
E
DS
Inte
l
l
ig
ent
Co
ntr
o
l f
o
r Doubly
F
ed
Induction
G
e
ner
a
tor
Co
nnected
t
o
the
E
lectr
ica
l
N
etw
o
r
k
A
na
s
s
B
a
k
o
uri
,
H
a
s
s
a
ne
M
a
h
m
o
ud
i
,
A
h
m
ed
A
bb
o
u
De
p
a
rtme
n
t
o
f
El
e
c
tri
c
a
l
En
g
in
e
e
rin
g
,
M
o
h
a
m
m
e
d
V
Un
iv
e
rsity
,
M
o
h
a
m
m
a
d
ia S
c
h
o
o
l
o
f
En
g
in
e
e
r
s
Ra
b
a
t,
M
o
r
o
c
c
o
Art
icle
I
nfo
AB
ST
RAC
T
A
r
ticle
his
to
r
y:
R
ec
eiv
ed
No
v
1
2
,
2
0
1
5
R
ev
i
s
ed
Mar
1
2
,
2
0
1
6
A
cc
ep
ted
A
p
r
1
3
,
2
0
1
6
In
th
is
p
a
p
e
r
w
e
a
re
in
tere
ste
d
in
o
p
t
im
izin
g
th
e
w
in
d
p
o
w
e
r
c
a
p
tu
re
,
u
si
n
g
t
h
e
Do
u
b
ly
F
e
d
In
d
u
c
ti
o
n
G
e
n
e
ra
to
r
(DFIG
).
T
h
is
m
a
c
h
in
e
is
p
re
f
e
rre
d
to
o
t
h
e
r
ty
p
e
s
o
f
v
a
riab
le
sp
e
e
d
g
e
n
e
ra
to
r
b
e
c
a
u
se
o
f
th
e
ir
a
d
v
a
n
tag
e
s
in
e
c
o
n
o
m
ic
ter
m
s
a
n
d
c
o
n
tro
l.
T
h
e
A
rti
f
icia
l
Ne
u
ra
l
N
e
t
w
o
rk
(
AN
N)
b
a
se
d
on
Dire
c
t
T
o
rq
u
e
Co
n
tr
o
l
(DT
C)
w
h
ich
is
u
se
d
to
c
o
n
tro
l
t
h
e
e
lec
tro
m
a
g
n
e
ti
c
to
rq
u
e
in
o
rd
e
r
t
o
e
x
trac
t
th
e
m
a
x
i
m
u
m
p
o
w
e
r
.
T
h
e
m
a
in
o
b
jec
ti
v
e
o
f
th
is
in
telli
g
e
n
t
tec
h
n
iq
u
e
is
to
re
p
l
a
c
e
t
h
e
c
o
n
v
e
n
ti
o
n
a
l
sw
it
c
h
in
g
tab
le
b
y
a
v
o
lt
a
g
e
s
e
lec
to
r
b
a
se
d
o
n
(
A
N
N)
to
re
d
u
c
e
to
rq
u
e
a
n
d
f
lu
x
rip
p
les
.
M
o
re
o
v
e
r,
th
e
f
u
z
z
y
lo
g
ic
c
o
n
tr
o
ll
e
r
is
u
se
d
t
o
g
rid
si
d
e
c
o
n
v
e
rt
e
r
to
k
e
e
p
DC
li
n
k
v
o
lt
a
g
e
c
o
n
sta
n
t,
a
n
d
a
l
so
to
a
c
h
iev
e
u
n
it
y
p
o
w
e
r
f
a
c
to
r
o
p
e
ra
ti
o
n
.
T
h
e
m
a
in
a
d
v
a
n
tag
e
o
f
th
e
tw
o
c
o
n
tr
o
l
stra
teg
ies
p
ro
p
o
se
d
i
n
th
is
p
a
p
e
r
is
th
a
t
th
e
y
a
re
n
o
t
in
f
lu
e
n
c
e
d
b
y
th
e
v
a
riatio
n
o
f
th
e
m
a
c
h
in
e
p
a
ra
m
e
ter.
T
h
e
p
it
c
h
c
o
n
tro
l
is
a
lso
p
re
se
n
ted
to
li
m
it
th
e
g
e
n
e
ra
to
r
p
o
we
r
a
t
it
s
ra
ted
v
a
lu
e
.
S
im
u
latio
n
re
su
l
ts
o
f
1
,
5
M
W
,
f
o
r
(
DFIG
)
b
a
se
d
W
in
d
En
e
rg
y
Co
n
v
e
rsio
n
S
y
ste
m
(
W
ECS
)
c
o
n
f
ir
m
th
e
e
ff
e
c
ti
v
e
n
e
ss
a
n
d
th
e
p
e
rf
o
r
m
a
n
c
e
o
f
th
e
g
lo
b
a
l
p
ro
p
o
se
d
a
p
p
r
o
a
c
h
e
s.
K
ey
w
o
r
d
:
A
N
N
DFI
G
DT
C
W
E
C
S
Co
p
y
rig
h
t
©
201
6
In
s
t
it
u
te o
f
A
d
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts
re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
An
as
s
B
ak
o
u
r
i
,
Dep
ar
t
m
en
t o
f
E
lectr
ical
E
n
g
i
n
ee
r
in
g
,
Mo
h
a
m
m
ed
V
Un
i
v
e
r
s
it
y
,
Mo
h
a
m
m
ad
ia
Sc
h
o
o
l o
f
E
n
g
i
n
ee
r
s
,
M
o
ro
c
c
o
.
E
m
ail:
An
as
s
.
B
ak
o
u
r
i
@
g
m
ai
l.c
o
m
1.
I
NT
RO
D
UCT
I
O
N
I
n
r
ec
en
t
y
ea
r
s
,
r
en
e
w
ab
le
en
er
g
y
an
d
cu
t
tin
g
ca
r
b
o
n
e
m
is
s
io
n
s
h
a
v
e
b
ec
o
m
e
o
n
t
h
e
to
p
o
f
th
e
g
lo
b
al
en
v
ir
o
n
m
e
n
tal
a
g
en
d
a,
m
an
y
b
u
ild
i
n
g
s
ar
e
ab
le
to
u
s
e
alter
n
ativ
e
e
n
er
g
y
s
o
u
r
ce
s
t
o
m
ee
t
a
s
u
b
s
ta
n
tia
l
p
o
r
tio
n
o
f
th
eir
en
er
g
y
d
e
m
an
d
s
an
d
to
r
ed
u
ce
d
e
p
en
d
en
c
e
o
n
i
m
p
o
r
ted
f
o
s
s
il
f
u
el
s
in
o
r
d
er
to
m
ak
e
en
er
g
y
p
r
o
d
u
ctio
n
m
o
r
e
s
u
s
tain
ab
le
.
R
en
e
w
ab
le
en
er
g
y
c
an
b
e
p
r
o
d
u
ce
d
f
r
o
m
a
w
id
e
v
ar
iet
y
o
f
s
o
u
r
ce
s
in
c
lu
d
i
n
g
w
i
n
d
,
s
o
lar
,
h
y
d
r
o
,
tid
al
an
d
g
eo
th
er
m
al.
T
h
e
m
ain
g
o
al
is
to
co
n
s
er
v
e
t
h
e
e
n
v
ir
o
n
m
en
t
th
r
o
u
g
h
g
e
n
er
ati
n
g
clea
n
,
it
al
s
o
d
r
iv
es
tech
n
o
lo
g
i
ca
l
in
n
o
v
atio
n
a
n
d
e
m
p
lo
y
m
e
n
t
ac
r
o
s
s
th
e
w
o
r
ld
.
T
h
e
w
i
n
d
tu
r
b
in
e
g
en
er
ato
r
s
y
s
te
m
is
o
n
e
o
f
th
e
f
aste
s
t
g
r
o
w
i
n
g
e
n
er
g
y
tec
h
n
o
lo
g
ies
i
n
th
e
w
o
r
ld
w
h
ic
h
is
a
clea
n
s
o
u
r
ce
o
f
en
er
g
y
t
h
at
p
r
o
d
u
ce
s
n
o
air
o
r
w
ater
p
o
llu
tio
n
.
Do
u
b
l
y
f
ee
d
in
d
u
ctio
n
g
e
n
er
ato
r
(
DFI
G)
is
a
v
er
y
p
o
p
u
lar
m
ac
h
in
e
w
h
ic
h
u
s
ed
f
o
r
v
ar
ia
b
le
-
s
p
ee
d
s
y
s
te
m
s
w
h
er
e
th
e
s
p
e
ed
r
an
g
e
r
eq
u
ir
em
e
n
t
s
ar
e
s
m
al
l
,f
o
r
ex
a
m
p
le
±
3
0
%
o
f
s
y
n
ch
r
o
n
o
u
s
s
p
ee
d
,
d
u
e
to
th
e
m
an
y
ad
v
an
ta
g
e
s
o
f
f
er
o
v
er
o
t
h
er
t
y
p
e
s
o
f
g
e
n
er
ato
r
s
,
s
u
ch
a
s
r
ed
u
ce
d
in
v
er
ter
co
s
t,
b
ec
au
s
e
in
v
er
ter
r
atin
g
i
s
t
y
p
icall
y
2
5
%
o
f
to
tal
s
y
s
te
m
p
o
w
er
,
r
ed
u
c
ed
co
s
t
o
f
t
h
e
co
n
v
er
ter
an
d
f
ilter
s
,
b
ec
u
ase
f
ilter
s
ar
e
r
ated
f
o
r
0
.
2
5
p
.
u
.
to
tal
s
y
s
te
m
p
o
w
er
,
a
n
d
co
n
v
er
ter
h
ar
m
o
n
ics
r
ep
r
esen
t
a
s
m
aller
f
r
a
ctio
n
o
f
to
tal
s
y
s
te
m
h
ar
m
o
n
ic
s
th
at
i
m
p
r
o
v
e
s
s
y
s
te
m
ef
f
ic
ien
c
y
[
1
]
[
2
]
,
th
er
ef
o
r
e
o
p
er
ates
in
b
o
th
s
u
b
-
an
d
s
u
p
er
-
s
y
n
c
h
r
o
n
o
u
s
m
o
d
es
w
it
h
a
r
o
to
r
s
p
ee
d
r
an
g
e
ar
o
u
n
d
t
h
e
s
y
n
ch
r
o
n
o
u
s
s
p
ee
d
.T
h
e
m
o
s
t
co
n
f
ig
u
r
atio
n
u
s
ed
in
w
i
n
d
en
er
g
y
co
n
v
er
s
io
n
th
at
t
h
e
s
tato
r
cir
cu
it
i
s
d
ir
ec
tl
y
co
n
n
ec
ted
to
th
e
g
r
id
w
h
il
e
th
e
r
o
to
r
w
i
n
d
i
n
g
i
s
co
n
n
e
cted
v
ia
s
l
ip
-
ri
n
g
s
to
a
th
r
ee
-
p
h
ase
co
n
v
er
ter
[
3
]
.
I
n
o
r
d
er
to
g
et
a
s
ati
s
f
ac
to
r
y
p
o
w
er
o
u
tp
u
t
o
f
w
i
n
d
tu
r
b
i
n
es
,
co
n
tr
o
l
s
tr
ate
g
ies
ar
e
also
n
ee
d
ed
to
b
e
d
ev
elo
p
ed
o
n
th
e
b
asis
o
f
co
n
tr
o
l stra
teg
ies
t
h
at
h
av
e
b
ee
n
p
r
ev
io
u
s
l
y
o
b
tain
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8
694
IJ
PEDS
Vo
l.
7
,
No
.
3
,
Sep
tem
b
er
2
0
1
6
:
688
–
7
0
0
689
T
h
e
p
o
w
er
co
n
v
er
ter
is
co
m
p
r
is
ed
o
f
th
e
r
o
to
r
-
s
id
e
co
n
v
er
ter
(
R
SC
)
an
d
th
e
g
r
id
-
s
id
e
co
n
v
er
ter
(
GSC
)
i
n
w
h
ich
th
e
r
o
to
r
s
id
e
co
n
v
er
ter
(
R
SC
)
i
s
co
n
tr
o
lled
in
t
h
e
ai
m
to
f
o
llo
w
t
h
e
o
p
ti
m
al
elec
tr
o
m
a
g
n
eti
c
to
r
q
u
e
in
o
r
d
er
to
ex
tr
ac
t
th
e
m
a
x
i
m
al
w
i
n
d
p
o
w
er
a
v
ailab
le,
w
h
ile
t
h
e
g
r
id
s
id
e
co
n
v
er
ter
co
n
tr
o
ls
th
e
DC
-
li
n
k
v
o
lta
g
e
an
d
r
eg
u
l
ate
th
e
p
o
w
er
f
ac
to
r
at
u
n
it
[
4
]
.
Firstl
y
d
ir
ec
t
to
r
q
u
e
co
n
tr
o
l
(
DT
C
)
h
as
b
ee
n
co
n
s
id
er
ed
as
a
s
o
lu
tio
n
to
m
a
n
y
c
h
alle
n
g
e
s
o
f
class
ical
m
et
h
o
d
s
,
s
u
c
h
as
fi
eld
o
r
ien
te
d
co
n
tr
o
l
(
FOC
)
an
d
v
ec
to
r
co
n
tr
o
l
(
VC
)
,
th
ese
cla
s
s
ic
m
et
h
o
d
s
r
eq
u
ir
e
p
r
ec
is
e
in
f
o
r
m
atio
n
o
f
t
h
e
m
ac
h
i
n
e
p
ar
a
m
eter
s
,
s
u
c
h
as
r
o
to
r
,
s
tato
r
,
th
e
r
esis
tan
ce
o
f
t
h
e
in
d
u
c
ta
n
ce
an
d
th
e
m
u
t
u
al
in
d
u
cta
n
ce
[5
,
6
,
7
]
.
T
h
u
s
th
e
p
er
f
o
r
m
a
n
ce
i
s
ass
ig
n
ed
w
h
e
n
th
e
r
ea
l
m
ac
h
i
n
e
p
ar
a
m
ete
r
s
d
if
f
er
f
r
o
m
th
o
s
e
u
s
ed
v
a
lu
e
s
in
t
h
e
co
n
tr
o
l
s
y
s
te
m
b
ec
au
s
e
th
e
g
ai
n
s
o
f
t
h
e
P
I
co
n
tr
o
ller
s
ar
e
co
n
s
tan
t
.
Usi
n
g
h
y
s
ter
esi
s
co
n
tr
o
ller
s
in
s
tead
o
f
co
n
v
e
n
tio
n
al
P
I
co
n
tr
o
ller
s
in
t
h
e
DT
C
co
n
tr
o
l
lead
s
to
g
o
o
d
p
er
f
o
r
m
an
ce
d
esp
ite
th
e
m
ac
h
i
n
e
p
ar
a
m
eter
s
v
ar
ia
tio
n
.
T
h
e
m
aj
o
r
p
r
o
b
lem
w
h
i
ch
ass
o
ciate
d
w
it
h
th
e
b
asic
DT
C
s
ch
e
m
e
lie
s
in
th
e
h
i
g
h
f
lu
x
a
n
d
to
r
q
u
e
r
ip
p
les
d
u
e
to
th
e
v
ar
iab
le
s
w
itc
h
i
n
g
f
r
eq
u
e
n
c
y
.
T
h
e
d
ir
ec
t
p
o
w
er
co
n
tr
o
l
(
DP
C
)
i
s
p
r
o
p
o
s
ed
in
[
8
9
1
0
]
th
is
tech
n
i
q
u
e
is
b
ased
o
n
t
h
e
p
r
in
cip
le
s
o
f
DT
C
,
th
e
o
p
ti
m
a
l
v
o
lta
g
e
v
ec
to
r
s
is
s
elec
ted
f
r
o
m
a
p
r
e
-
d
e
f
i
n
ed
s
w
itc
h
i
n
g
t
ab
le
w
h
ic
h
d
ep
en
d
s
o
n
er
r
o
r
s
v
alu
e
b
et
w
ee
n
t
h
e
r
e
f
er
en
ce
a
n
d
esti
m
ated
v
alu
e
s
o
f
ac
ti
v
e
a
n
d
r
ea
ctiv
e
p
o
w
er
,
an
d
t
h
e
a
n
g
u
lar
p
o
s
itio
n
.
T
h
ese
clas
s
ical
m
et
h
o
d
s
f
o
cu
s
e
s
o
n
t
h
e
u
s
e
o
f
P
I
r
eg
u
lat
io
n
s
(
FO
C
,
VC
)
th
eir
r
o
b
u
s
tn
es
s
is
af
f
ec
ted
w
it
h
th
e
m
ac
h
i
n
e
p
ar
am
e
ter
v
ar
iati
o
n
s
an
d
th
e
m
aj
o
r
p
r
o
b
lem
o
f
d
ir
ec
t
co
n
tr
o
ls
(
DT
C
,
DP
C
)
is
t
h
e
v
ar
iab
le
s
w
itc
h
in
g
f
r
eq
u
e
n
c
y
t
h
at
w
il
l
af
f
ec
t
th
e
q
u
ali
t
y
o
f
p
o
w
er
in
j
ec
ted
in
to
th
e
n
et
w
o
r
k
.
Ho
w
e
v
er
,
th
i
s
p
ap
er
p
r
o
p
o
s
es
an
i
n
telli
g
en
t
an
d
ad
v
a
n
ce
d
co
n
tr
o
l
w
h
ic
h
is
b
ased
o
n
a
c
o
m
b
i
n
atio
n
o
f
A
r
ti
f
icial
Neu
r
al
Net
w
o
r
k
(
A
N
N)
,
it a
l
s
o
b
ased
o
n
D
ir
ec
t
T
o
r
q
u
e
C
o
n
tr
o
l (
DT
C
)
tech
n
i
q
u
e
ap
p
lied
in
R
S
C
an
d
f
u
zz
y
l
o
g
ic
co
n
tr
o
l
to
co
n
tr
o
l
th
e
GS
C
,
th
is
ap
p
r
o
ch
o
f
co
n
tr
o
l
s
ig
n
i
f
ica
n
tl
y
r
ed
u
ce
s
t
h
e
r
ip
p
les
o
f
eletr
o
m
a
n
etiq
u
e
to
r
q
u
e
a
n
d
th
e
f
l
u
x
,
i
m
p
r
o
v
e
t
h
e
q
u
al
it
y
o
f
t
h
e
p
o
w
er
a
n
d
also
g
i
v
es
h
ig
h
p
er
f
o
r
m
a
n
ce
in
p
r
esen
ce
o
f
v
ar
iatio
n
s
i
n
p
ar
a
m
eter
s
o
f
t
h
e
m
ac
h
i
n
e
.
T
h
e
p
ap
er
is
ar
r
an
g
ed
as
f
o
llo
w
s
:
s
ec
tio
n
-
2
th
e
m
o
d
eli
n
g
o
f
all
s
y
s
te
m
is
p
r
ese
n
ted
.
Sectio
n
-
3
a
n
d
4
d
escr
ib
es
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
a
n
d
th
e
co
n
tr
o
l
s
c
h
e
m
e.
I
n
s
ec
tio
n
-
5
s
i
m
u
latio
n
r
es
u
lts
an
d
d
is
cu
s
s
io
n
ar
e
g
iv
e
n
.
Fi
n
all
y
a
co
n
cl
u
s
io
n
is
p
r
esen
ted
.
2.
WE
CS M
O
DE
L
L
I
N
G
2
.
1
.
Wind
T
urbi
ne
M
o
del
T
h
an
k
s
to
t
h
e
t
u
r
b
in
e,
th
e
k
in
e
tic
e
n
er
g
y
o
f
w
i
n
d
i
s
co
n
v
er
ted
i
n
to
m
ec
h
a
n
ical
p
o
w
er
,
th
e
m
ec
h
a
n
ical
to
r
q
u
e
d
ev
elo
p
ed
b
y
t
h
e
w
i
n
d
tu
r
b
in
e
i
s
ex
p
r
es
s
ed
b
y
[
11
]
[
1
2
]
:
t
w
p
t
w
w
V
R
C
P
T
2
.
)
,
(
3
2
(
1
)
w
h
er
e
)
,
(
p
C
is
th
e
p
o
w
er
co
ef
f
icie
n
t
,
w
V
is
t
h
e
w
i
n
d
s
p
ee
d
(
m
/s
)
,
R
is
th
e
r
ad
iu
s
o
f
t
h
e
t
u
r
b
in
e
d
is
k
,
is
th
e
air
d
en
s
it
y
,
t
is
th
e
tu
r
b
i
n
e
s
p
e
ed
,
is
th
e
tip
s
p
ee
d
r
ati
o
an
d
is
th
e
p
itch
an
g
le
.
T
h
e
p
o
w
er
co
ef
fi
cie
n
t
o
f
p
C
is
ex
p
r
ess
ed
b
y
(
1
)
,
it
d
ep
en
d
s
o
f
th
e
t
u
r
b
in
e
ch
ar
ac
ter
is
tics
(
tip
s
p
ee
d
r
atio
an
d
b
lad
e
p
itch
an
g
le)
[
1
3
]
.
T
h
e
Fig
u
r
e
1
illu
s
tr
ates
t
h
e
c
u
r
v
es
o
f
th
e
p
o
w
er
co
ef
f
icien
t
v
er
s
u
s
f
o
r
d
if
f
er
en
t
v
alu
e
s
o
f
,
f
o
r
ea
ch
p
itch
a
n
g
l
e,
th
er
e
is
o
n
e
s
p
ec
if
ic
o
p
ti
m
a
l
tip
-
s
p
ee
d
-
r
atio
opt
at
w
h
ic
h
p
C
tak
es
a
m
ax
i
m
u
m
v
a
lu
e
a
n
d
th
e
w
i
n
d
tu
r
b
in
e
is
m
o
s
t e
f
fi
cie
n
t
.
Fig
u
r
e
1.
T
h
e
p
o
w
er
co
ef
f
ici
en
t v
a
r
ia
ti
o
n
p
C
ag
ain
s
t
ti
p
s
p
ee
d
r
ati
o
an
d
p
itch
a
n
g
le
p
C
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
PEDS
I
SS
N:
2
0
8
8
-
8
694
I
n
tellig
en
t Co
n
tr
o
l fo
r
Do
u
b
ly
F
ed
I
n
d
u
ctio
n
Gen
era
to
r
C
o
n
n
ec
ted
to
th
e
E
lectrica
l
…
(
A
n
a
s
s
B
a
ko
u
r
i
)
690
00
6
8
.
0
)
21
e
xp
(
)
5
4
.
0
116
(
51
7
6
.
0
)
,
(
i
i
p
C
(
2
)
w
h
er
e
an
d
i
ar
e
g
iv
en
b
y
:
w
t
i
V
R
.
1
035
.
0
.
08
.
0
1
1
3
(
3
)
2
.
2
.
T
ra
ns
m
i
s
s
io
n
E
le
m
ent
s
M
o
del
T
h
e
f
u
n
d
a
m
en
ta
l
p
r
in
cip
le
o
f
th
e
d
y
n
a
m
ics
is
ap
p
lied
to
k
n
o
w
t
h
e
e
v
o
lu
tio
n
o
f
t
h
e
m
ec
h
an
ica
l
s
p
ee
d
.
m
em
m
m
f
T
T
dt
d
J
(
4)
w
h
er
e
J
an
d
f
ar
e
th
e
s
y
s
te
m
m
o
m
e
n
t
o
f
i
n
er
tia
a
n
d
t
h
e
f
r
icti
o
n
co
ef
fi
c
ien
t
r
esp
ec
tiv
e
l
y
.
Fi
g
u
r
e
2
s
h
o
w
s
w
in
d
g
en
er
a
to
r
p
o
w
er
cu
r
v
es
at
v
ar
io
u
s
,
an
d
Fig
u
r
e
3
s
h
o
w
s
t
h
e
m
at
h
e
m
atica
l
m
o
d
el
o
f
th
e
m
ec
h
a
n
ica
l
p
ar
t
o
f
th
e
w
i
n
d
tu
r
b
in
e
w
ith
MP
P
T
alg
o
r
ith
m
.
Fig
u
r
e
2
.
W
in
d
g
en
e
r
at
o
r
p
o
w
er
cu
r
v
es
at
v
ar
io
u
s
Fig
u
r
e
3
.
W
in
d
tu
r
b
in
e
m
o
d
el
w
it
h
t
h
e
w
in
d
s
p
e
ed
MP
PT
alg
o
r
ith
m
2
.
3
.
M
a
x
i
m
u
m
P
o
w
er
P
o
int
T
ra
cking
(
M
P
P
T
)
a
nd
P
it
ch
Co
ntr
o
l
I
n
o
r
d
er
to
ca
p
tu
r
e
th
e
m
a
x
i
m
u
m
p
o
w
er
o
f
th
e
i
n
cid
e
n
t
w
i
n
d
,
w
e
m
u
s
t
ad
j
u
s
t
t
h
e
r
o
tatio
n
al
s
p
ee
d
o
f
th
e
tu
r
b
i
n
e
p
er
m
an
e
n
tl
y
to
th
e
w
i
n
d
s
.
T
h
e
o
p
tim
u
m
o
p
er
a
tio
n
s
p
ee
d
o
f
th
e
g
e
n
er
ato
r
is
esti
m
ated
b
y
th
e
f
o
llo
w
in
g
eq
u
at
io
n
:
R
V
w
op
t
op
t
m
.
(
5
)
o
p
t
an
d
opt
m
ar
e
th
e
tip
s
p
ee
d
r
atio
an
d
th
e
r
o
to
r
s
p
ee
d
o
p
ti
m
al
r
esp
ec
tiv
el
y
.
T
h
e
Fig
u
r
e
2
s
h
o
w
s
t
h
e
MP
P
T
cu
r
v
e
w
h
e
r
e
th
e
p
o
w
er
ex
tr
ac
ted
is
m
ax
i
m
ized
.
T
h
e
MPPT
o
p
e
r
atio
n
m
o
d
e
ai
m
s
to
m
ax
i
m
ize
p
o
w
er
ex
tr
ac
tio
n
f
o
r
m
ed
i
u
m
a
n
d
lo
w
w
i
n
d
s
p
ee
d
s
b
y
f
o
llo
w
i
n
g
t
h
e
m
a
x
i
m
u
m
p
o
w
er
p
o
in
t
cu
r
v
e
(
m
a
x
p
C
)
as
d
ep
icted
in
Fi
g
u
r
e
2
.
W
e
h
av
e
to
m
ai
n
tai
n
t
h
e
tip
s
p
ee
d
r
atio
at
its
o
p
ti
m
al
v
alu
e,
48
.
0
p
C
an
d
0
2
4
6
0
0
.
5
1
1
.
5
2
x
1
0
6
The
turbi
ne
s
peed
(ra
d/
s
)
The
m
echa
ni
ca
l
po
w
er
(W)
V
w
=
6
m
/
s
V
w
=
8
m
/
s
V
w
=
1
0
m
/
s
V
w
=
1
2
m
/
s
M
a
x
i
m
u
m
p
o
w
e
r
p
o
i
n
t
+
-
-
1
/G
f
s
J
1
P
it
c
h
c
o
n
trol
R
1
/G
V
w
T
a
er
t
m
m
T
em
T
)
,
(
p
C
+
-
1
/G
m
P
I
R
V
w
o
p
t
opt
M
P
P
T
r
e
f
em
T
_
2
2
1
R
t
V
w
3
U
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8
694
IJ
PEDS
Vo
l.
7
,
No
.
3
,
Sep
tem
b
er
2
0
1
6
:
688
–
7
0
0
691
s
h
o
u
ld
b
e
eq
u
al
to
0
,
to
ex
tr
ac
t
th
e
m
a
x
i
m
u
m
p
o
w
er
,
to
ac
h
iev
e
t
h
ese
o
b
j
ec
tiv
es
;
th
e
s
p
ee
d
o
f
th
e
DFI
G
is
co
n
tr
o
lled
u
s
i
n
g
th
e
elec
tr
o
m
ag
n
etic
to
r
q
u
e,
to
f
o
l
lo
w
t
h
e
o
p
tim
u
m
r
o
tatio
n
al
s
p
ee
d
.
Fo
r
th
e
h
ig
h
w
in
d
s
p
ee
d
s
,
th
e
w
i
n
d
p
o
w
er
ca
p
tu
r
ed
b
y
t
h
e
w
i
n
d
tu
r
b
in
e
w
h
ic
h
ex
ce
ed
s
r
ated
v
alu
e
allo
w
ed
,
f
o
r
s
af
e
t
y
a
n
d
e
f
f
ici
en
c
y
r
ea
s
o
n
s
,
th
e
w
i
n
d
tu
r
b
i
n
es
ar
e
s
u
b
j
ec
t
to
o
p
er
atin
g
li
m
it
s
t
h
is
li
m
itatio
n
is
t
y
p
icall
y
ac
h
ie
v
ed
b
y
u
s
in
g
p
itch
an
g
le
co
n
tr
o
l.
T
h
e
p
u
r
p
o
s
e
o
f
p
itch
co
n
tr
o
l
is
to
m
a
in
tai
n
th
e
o
p
ti
m
u
m
b
lad
e
an
g
le
to
li
m
it
t
h
e
p
o
wer
p
r
o
d
u
ce
d
at
its
r
ated
v
al
u
e
in
o
r
d
er
to
p
r
o
tect
th
e
w
i
n
d
tu
r
b
in
e.
Fo
r
lo
w
an
d
m
ed
iu
m
w
i
n
d
s
p
ee
d
,
th
e
p
itch
co
n
tr
o
l
is
in
ac
t
iv
ated
a
n
d
th
e
o
u
tp
u
t
o
f
P
I
co
n
tr
o
ller
eq
u
al
to
0
w
h
ic
h
m
ea
n
s
t
h
at
0
,
w
h
er
e
t
h
e
s
w
itc
h
i
s
i
n
p
o
s
itio
n
1
,
in
t
h
e
o
p
p
o
s
ite
ca
s
e
t
h
e
s
w
itc
h
i
s
m
o
v
ed
to
p
o
s
itio
n
2
(
th
e
p
itch
co
n
tr
o
l
is
ac
ti
v
ate
d
)
.
T
h
e
b
lo
ck
d
iag
r
a
m
o
f
p
itc
h
an
g
le
s
y
s
te
m
is
s
h
o
w
n
i
n
Fi
g
u
r
e
4
w
h
er
e
r
a
t
e
d
P
an
d
g
P
ar
e
th
e
r
ate
d
p
o
w
er
an
d
th
e
g
en
er
ato
r
p
o
w
e
r
r
esp
ec
tiv
el
y
.
Fig
u
r
e
4.
T
h
e
B
l
o
ck
o
f
p
i
tch
a
n
g
le
2
.
4
.
M
o
delin
g
o
f
t
he
DF
I
G
T
h
e
DFI
G
is
d
escr
ib
ed
in
th
e
P
ar
k
d
–
q
f
r
a
m
e
b
y
t
h
e
f
o
llo
w
i
n
g
s
et
o
f
eq
u
atio
n
s
[
1
4
]
[
11
].
)
9
(
)
8
(
)
7
(
)
6
(
rd
r
rq
rq
r
rq
rq
r
rd
rd
r
rd
sd
s
sq
sq
s
sq
sq
s
sd
sd
s
sd
dt
d
i
R
V
dt
d
i
R
V
dt
d
i
R
V
dt
d
i
R
V
)
13
(
)
12
(
)
11
(
)
10
(
sq
m
rq
r
rq
sd
m
rd
r
rd
rq
m
sq
s
sq
rd
m
sd
s
sd
i
L
i
L
i
L
i
L
i
L
i
L
i
L
i
L
w
h
er
e
sd
,
sq
,
sd
,
rq
,
sd
i
,
sq
i
,
rd
i
,
rq
i
ar
e
t
h
e
f
l
u
x
e
s
an
d
c
u
r
r
en
t
s
o
f
t
h
e
s
tato
r
a
n
d
r
o
to
r
in
(
d
q
)
ax
e
s
,
r
R
an
d
s
R
ar
e
th
e
r
esis
ta
n
ce
s
o
f
t
h
e
r
o
to
r
an
d
s
tato
r
w
i
n
d
in
g
s
,
r
s
L
L
,
an
d
m
L
ar
e
th
e
s
tato
r
,
r
o
to
r
,
an
d
m
u
tu
al
i
n
d
u
c
tan
ce
s
r
esp
ec
tiv
e
l
y
.
2
.
5
.
M
o
del o
f
t
he
Co
nv
er
t
er
s
T
h
e
co
n
v
er
ter
m
o
d
el
is
ex
p
r
es
s
ed
b
y
t
h
e
t
w
o
f
o
llo
w
i
n
g
eq
u
a
tio
n
s
:
c
b
a
dc
sc
sb
sa
S
S
S
V
V
V
V
2
1
1
1
2
1
1
1
2
3
(
1
4
)
c
c
b
b
a
a
dc
i
S
i
S
i
S
i
(
1
5
)
P
1
s
1
-
+
-
+
r
e
f
r
a
t
e
d
P
r
a
t
e
d
P
g
P
1
2
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
PEDS
I
SS
N:
2
0
8
8
-
8
694
I
n
tellig
en
t Co
n
tr
o
l fo
r
Do
u
b
ly
F
ed
I
n
d
u
ctio
n
Gen
era
to
r
C
o
n
n
ec
ted
to
th
e
E
lectrica
l
…
(
A
n
a
s
s
B
a
ko
u
r
i
)
692
(
Sa,
Sb
,
Sc)
ar
e
lo
g
ic
v
ar
iab
les
w
h
ic
h
r
ep
r
esen
t
t
h
e
s
w
i
tch
s
tates
o
b
tain
ed
b
y
th
e
ap
p
licati
o
n
o
f
th
e
p
r
o
p
o
s
ed
co
n
tr
o
l.
id
c
an
d
Vd
c
ar
e
th
e
cu
r
r
en
t a
n
d
d
ir
ec
t b
u
s
v
o
ltag
e
r
esp
ec
ti
v
el
y
.
DC
li
n
k
v
o
ltag
e
m
o
d
el
is
g
iv
e
n
b
y
[
1
5
]
:
g
dc
dc
r
P
dt
dV
CV
P
(
1
6
)
w
h
er
e
P
r
is
t
h
e
ac
ti
v
e
p
o
w
er
o
f
r
o
to
r
-
s
id
e
p
o
w
er
co
n
v
er
te
r
,
P
g
is
t
h
e
ac
ti
v
e
p
o
w
er
o
f
t
h
e
g
r
id
-
s
id
e
p
o
w
er
co
n
v
er
ter
an
d
C
i
s
th
e
ca
p
ac
it
an
ce
.
2
.
6
.
F
ilte
r
M
o
del
T
h
e
co
n
n
ec
tio
n
o
f
th
e
GS
C
t
o
th
e
elec
tr
ical
n
e
t
w
o
r
k
i
s
r
e
alize
d
o
u
t
v
ia
a
n
R
L
fi
l
ter
in
o
r
d
er
to
r
ed
u
ce
th
e
h
ar
m
o
n
ics
f
r
eq
u
e
n
c
y
g
e
n
er
ated
f
r
o
m
p
o
w
er
co
n
v
er
ter
co
m
m
u
tatio
n
s
.
T
h
e
m
o
d
el
o
f
th
e
f
ilter
is
g
iv
e
n
b
y
[
1
6
]
:
3
2
1
3
2
1
3
2
1
3
2
1
g
g
g
f
f
f
f
f
f
f
f
f
f
f
V
V
V
i
i
i
dt
d
L
i
i
i
R
V
V
V
(
1
7
)
T
h
e
P
a
r
k
tr
an
s
f
o
r
m
atio
n
o
f
eq
u
atio
n
(
1
7
)
g
iv
e
s
th
e
f
o
llo
w
i
n
g
eq
u
atio
n
s
:
gd
fq
e
f
fd
f
fd
f
fd
V
i
L
dt
di
L
i
R
V
(
1
8
)
gq
fd
e
f
fq
f
fq
f
fq
V
i
L
dt
di
L
i
R
V
(
1
9
)
w
h
er
e
f
R
an
d
f
L
ar
e
th
e
f
i
lter
r
esis
t
an
ce
an
d
f
il
ter
in
d
u
ctan
ce
r
esp
ec
tiv
el
y
,
fd
i
an
d
fq
i
ar
e
th
e
cu
r
r
en
ts
o
f
d
-
ax
is
a
n
d
q
-
ax
i
s
w
h
ich
cr
o
s
s
i
n
g
th
e
f
ilter
r
esp
ec
tiv
e
l
y
,
fq
V
an
d
fd
V
ar
e
th
e
f
ilter
v
o
lta
g
e
o
f
q
-
a
x
i
s
an
d
d
-
ax
is
r
esp
ec
tiv
el
y
,
gd
V
an
d
gq
V
ar
e
th
e
g
r
i
d
v
o
ltag
e
co
m
p
o
n
e
n
ts
o
f
d
-
a
x
is
an
d
q
-
a
x
is
r
esp
ec
ti
v
el
y
,
an
d
e
is
th
e
g
r
id
f
r
eq
u
e
n
c
y
.
3.
DT
C
P
RIN
CIPL
E
O
F
DF
I
G
T
h
e
d
ir
ec
t
c
o
n
tr
o
l
s
tr
ateg
y
h
as
m
a
n
y
ad
v
a
n
ta
g
es
,
a
s
i
m
p
l
est
s
tr
u
ct
u
r
e
,
th
e
f
a
s
t
d
y
n
a
m
i
c
r
esp
o
n
s
e,
r
eliab
ilit
y
a
n
d
lo
w
er
p
ar
a
m
eter
d
ep
en
d
en
c
y
[
1
7
]
,
b
u
t
it
h
as so
m
e
d
r
a
w
b
ac
k
s
,
s
u
c
h
as t
h
e
to
r
q
u
e
an
d
f
l
u
x
r
ip
p
le
.
To
o
v
er
co
m
e
t
h
is
k
i
n
d
o
f
p
r
o
b
le
m
,
w
e
h
a
v
e
ap
p
lied
in
th
i
s
w
o
r
k
a
n
DT
C
b
ased
o
n
ar
tif
i
cial
n
e
u
r
al
n
et
w
o
r
k
(
DT
C
-
ANN)
,
it
i
s
a
n
i
m
p
r
o
v
e
m
en
t
o
f
t
h
e
clas
s
ical
DT
C
.
I
n
th
e
f
o
llo
w
i
n
g
,
w
e
d
e
f
in
e
t
h
e
eq
u
atio
n
s
t
h
at
w
il
l
b
e
u
s
ed
in
t
h
e
p
r
o
p
o
s
ed
c
o
n
tr
o
l sch
e
m
e.
T
h
e
α
an
d
β est
i
m
a
t
es o
f
th
e
R
o
to
r
f
l
u
x
r
v
ec
to
r
ar
e
:
dt
i
R
V
dt
i
R
V
r
r
t
r
r
r
r
t
r
r
)
(
)
(
0
0
(
2
0
)
T
h
e
m
o
d
u
le
a
n
d
th
e
p
h
a
s
e
o
f
th
e
r
o
to
r
f
lu
x
ar
e
g
iv
e
n
b
y
:
r
r
r
r
r
r
a
r
c
t
g
2
2
(
2
1
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8
694
IJ
PEDS
Vo
l.
7
,
No
.
3
,
Sep
tem
b
er
2
0
1
6
:
688
–
7
0
0
693
T
h
e
e
le
ctr
o
m
ag
n
etic
to
r
q
u
e
e
q
u
ati
o
n
o
f
th
e
DF
I
G
in
s
ta
ti
o
n
ar
y
r
ef
e
r
en
c
e
f
r
am
e
is
a
f
u
n
cti
o
n
o
f
th
e
r
o
to
r
,
th
e
s
tat
o
r
f
lu
x
es
an
d
th
e
an
g
le
)
(
,
s
r
[
1
8
]
:
s
i
n
.
2
3
s
r
s
r
m
em
L
L
L
P
T
(
2
2
)
w
h
er
e
s
r
m
L
L
L
2
1
is
th
e
le
ak
ag
e
c
o
ef
f
ic
ie
n
t
an
d
is
th
e
an
g
le
b
e
tw
ee
n
th
e
s
p
a
ce
v
e
ct
o
r
s
o
f
th
e
s
tat
o
r
a
n
d
r
o
to
r
fl
u
x
.
A
cc
o
r
d
in
g
to
th
is
eq
u
a
ti
o
n
w
e
ca
n
n
o
tice
th
at
t
h
e
to
r
q
u
e
d
e
p
en
d
s
o
n
th
e
r
o
t
o
r
an
d
s
t
at
o
r
fl
u
x
am
p
litu
d
es
an
d
a
ls
o
th
e
an
g
le
b
etw
ee
n
th
e
s
p
a
ce
v
e
ct
o
r
s
.
T
h
e
s
t
at
o
r
fl
u
x
s
p
ac
e
v
ec
to
r
w
er
ec
r
e
ate
d
in
th
e
m
ac
h
in
eth
at
h
as
c
o
n
s
tan
t
am
p
li
tu
d
e
b
ec
au
s
e
th
e
s
tat
o
r
o
f
th
e
DF
I
G
is
c
o
n
n
ec
t
ed
t
o
a
b
a
lan
c
ed
g
r
i
d
,
b
y
co
n
t
r
o
llin
g
th
e
an
g
le
an
d
th
e
r
o
t
o
r
fl
u
x
am
p
litu
d
e
;
it
is
p
o
s
s
i
b
le
to
co
n
t
r
o
l
th
e
el
ec
t
r
o
m
ag
n
etic
to
r
q
u
e
s
o
th
at
i
t
h
as th
e
d
esi
r
e
d
v
alu
e
w
h
ich
all
o
w
s
u
s
to
ex
t
r
ac
t
th
e
m
ax
im
u
m
p
o
w
er
.
W
h
en
th
e
v
ec
t
o
r
o
f
r
o
t
o
r
f
lu
x
is
in
z
o
n
e
i,
th
e
c
o
n
t
r
o
l
o
f
th
e
ele
ctr
o
m
ag
n
etic
to
r
q
u
e
an
d
th
e
r
o
t
o
r
f
lu
x
ca
n
b
e
o
b
tain
ed
b
y
s
ele
ctin
g
o
n
e
o
f
th
e
eig
h
t
v
ec
to
r
s
f
o
llo
w
in
g
th
e
in
f
o
r
m
atio
n
p
r
es
en
te
d
in
Fig
u
r
e
5
.
Dep
en
d
in
g
o
n
th
e
v
al
u
e
o
f
th
e
to
r
q
u
e
er
r
o
r
,
th
e
o
u
tp
u
t
o
f
th
e
h
y
s
ter
e
s
is
r
eg
u
lato
r
(
3
-
lev
el)
,
Fig
u
r
e
6
K
Tem
ca
n
tak
e
a
v
al
u
e
o
f
1
,
-
1
,
o
r
0
w
h
ic
h
m
ea
n
in
cr
ea
s
e,
d
ec
r
ea
s
e,
o
r
k
ee
p
th
e
v
alu
e
o
f
elec
tr
o
m
a
g
n
etic
to
r
q
u
e.
Si
m
i
lar
l
y
,
d
ep
en
d
i
n
g
o
n
t
h
e
flu
x
er
r
o
r
,
th
e
o
u
tp
u
t
o
f
t
h
e
h
y
s
ter
es
is
r
e
g
u
la
to
r
(
t
w
o
-
lev
e
l
)
,
Fig
u
r
e
6
ca
n
ta
k
e
o
n
l
y
a
v
a
lu
e
o
f
0
o
r
1
w
h
ich
m
ea
n
in
cr
ea
s
e
o
r
d
ec
r
ea
s
e
o
f
th
e
r
o
to
r
f
lu
x
.
Fig
u
r
e
5
.
Dete
ctio
n
o
f
v
ec
to
r
v
o
ltag
e
Fig
u
r
e
6.
L
ev
els h
y
s
ter
esis
r
eg
u
lato
r
f
o
r
to
r
q
u
e
an
d
f
lu
x
T
h
e
co
n
tr
o
l T
ab
le
1
allo
w
s
ch
o
o
s
in
g
th
e
ad
eq
u
ate
v
ec
to
r
ac
co
r
d
in
g
t
h
e
o
u
tp
u
t
v
al
u
e
o
f
t
h
e
h
y
s
ter
es
i
s
r
eg
u
lato
r
an
d
t
h
e
s
ec
to
r
w
h
er
e
th
e
r
o
to
r
fl
u
x
s
p
ac
e
v
ec
to
r
is
lo
ca
ted
.
T
ab
le
1
.
Sw
itch
in
g
T
ab
le
S
e
c
t
o
r
1
2
3
4
5
6
KΨ
K
T
e
m
K
Ψ
=
1
K
T
e
m=1
V2
V3
V4
V5
V6
V1
K
T
e
m=0
V7
V0
V7
V0
V7
V0
K
T
e
m=
-
1
V6
V1
V2
V3
V4
V5
K
Ψ
=
0
K
T
e
m=1
V3
V4
V5
V6
V1
V2
K
T
e
m=0
V0
V7
V0
V7
V0
V7
K
T
e
m=
-
1
V5
V6
V1
V2
V3
V4
3
.
1
.
T
he
Neura
l N
et
w
o
rk
Select
o
r
A
r
ti
f
icial
n
eu
r
al
n
e
t
w
o
r
k
s
h
a
v
e
b
ee
n
g
ai
n
in
g
a
lo
t
o
f
atten
tio
n
i
n
th
e
r
ec
en
t
y
ea
r
s
.
I
n
m
ac
h
i
n
e
lear
n
in
g
d
o
m
ai
n
,
ANN
'
s
ar
e
a
f
a
m
i
l
y
o
f
m
at
h
e
m
a
tical
m
o
d
e
ls
in
s
p
ir
ed
f
r
o
m
b
io
lo
g
ical
n
e
u
r
al
n
et
w
o
r
k
s
.
I
t
is
an
ap
p
r
o
ac
h
w
h
ich
g
i
v
es
m
o
r
e
p
o
s
s
ib
ilit
ies
to
ad
d
r
ess
th
e
p
r
o
b
le
m
s
o
f
m
e
m
o
r
y
,
p
er
ce
p
tio
n
,
lear
n
i
n
g
1
de
c
r
e
a
s
e
de
c
r
e
a
s
e
V
i
-
2
V
i
+
1
V
i
+
2
V
i
-
1
i
n
c
r
e
a
s
e
i
n
c
r
e
a
s
e
i
n
c
r
e
a
s
e
de
c
r
e
a
s
e
de
c
r
e
a
s
e
i
n
c
r
e
a
s
e
3
2
4
5
6
V
0
,
V
7
c
s
t
e
de
c
r
e
a
s
e
−
∆
1
0
-
1
−
∆
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
PEDS
I
SS
N:
2
0
8
8
-
8
694
I
n
tellig
en
t Co
n
tr
o
l fo
r
Do
u
b
ly
F
ed
I
n
d
u
ctio
n
Gen
era
to
r
C
o
n
n
ec
ted
to
th
e
E
lectrica
l
…
(
A
n
a
s
s
B
a
ko
u
r
i
)
694
an
d
an
al
y
s
is
i
n
n
e
w
w
a
y
s
[
1
9
]
[
1
7
]
.
A
f
ee
d
f
o
r
w
ar
d
n
eu
r
al
n
et
w
o
r
k
is
o
r
g
an
ized
i
n
la
y
er
s
:
an
i
n
p
u
t
la
y
er
,
o
n
e
o
r
m
o
r
e
h
id
d
en
la
y
er
s
an
d
an
o
u
tp
u
t
la
y
er
.
T
h
e
b
ac
k
p
r
o
p
ag
atio
n
alg
o
r
ith
m
is
t
h
e
b
est
-
k
n
o
w
n
lear
n
i
n
g
alg
o
r
ith
m
f
o
r
m
u
ltil
a
y
er
n
et
wo
r
k
s
.
I
n
th
is
w
o
r
k
,
th
e
i
n
telli
g
e
n
t
t
ec
h
n
iq
u
e
h
as
b
a
s
ed
o
n
A
r
ti
f
ic
ial
Neu
r
al
N
et
w
o
r
k
w
h
ic
h
w
a
s
u
s
ed
to
r
ep
lace
th
e
class
ica
l
s
w
itc
h
i
n
g
tab
le
b
y
t
h
e
n
e
u
r
al
n
e
t
w
o
r
k
s
elec
to
r
in
o
r
d
er
to
r
ed
u
ce
to
r
q
u
e
r
ip
p
le
an
d
f
l
u
x
.
T
h
e
in
p
u
t
s
o
f
t
h
e
ANN
s
elec
t
o
r
b
lo
ck
ar
e
t
h
e
p
o
s
it
io
n
o
f
r
o
to
r
f
lu
x
v
ec
to
r
r
ep
r
ese
n
ted
b
y
a
n
u
m
b
er
o
f
s
ec
to
r
s
an
d
th
e
o
u
tp
u
ts
o
f
t
h
e
h
y
s
ter
esis
co
m
p
ar
ato
r
f
o
r
th
e
to
r
q
u
e
an
d
r
o
to
r
f
lu
x
.
T
h
e
o
u
tp
u
ts
o
f
th
is
b
lo
ck
ar
e
t
h
e
i
m
p
u
l
s
es
t
h
at
allo
w
i
n
g
th
e
co
n
t
r
o
l o
f
th
e
in
v
er
ter
s
w
itc
h
es (
Sa
,
Sb
,
Sc)
.
T
h
e
co
n
tr
o
l
s
ch
em
e
o
f
th
e
p
r
o
p
o
s
ed
DT
C
b
ased
o
n
A
r
ti
f
icial
Ne
u
r
al
Net
w
o
r
k
f
o
r
a
DFI
G
s
y
s
te
m
w
h
ich
is
ill
u
s
tr
ated
in
Fig
u
r
e
7.
T
h
e
Net
w
o
r
k
th
at
h
as
ta
k
e
n
i
n
t
h
is
ap
p
licat
io
n
is
a
3
-
5
-
1
f
ee
d
f
o
r
w
ar
d
n
et
w
o
r
k
Fi
g
u
r
e
8
w
h
er
e
th
e
f
ir
s
t
la
y
e
r
is
f
r
o
m
a
lo
g
s
ig
m
o
id
tr
an
s
f
er
f
u
n
ct
io
n
,
h
id
d
en
la
y
er
is
h
y
p
er
b
o
lic
tan
g
e
n
t
s
ig
m
o
id
t
r
an
s
f
er
f
u
n
ctio
n
an
d
t
h
e
t
h
ir
d
la
y
er
(
o
u
tp
u
t)
is
o
f
li
n
ea
r
tr
an
s
f
er
f
u
n
ctio
n
.
T
h
e
tr
ain
in
g
m
et
h
o
d
u
s
ed
w
as
L
ev
e
n
b
er
g
-
Ma
r
q
u
ar
d
t b
ac
k
-
p
r
o
p
ag
atio
n
Fig
u
r
e
7.
Sch
e
m
atic
d
iag
r
a
m
o
f
th
e
co
n
tr
o
l D
T
C
b
ased
Fig
u
r
e
8
.
Feed
Fo
r
w
ar
d
NN
f
o
r
s
ec
to
r
s
elec
tio
n
o
n
ANN
f
o
r
a
DFI
G
4.
CO
NT
RO
L
O
F
T
H
E
G
RID
SI
D
E
CO
NVE
RT
E
R
(
G
SC)
T
h
e
co
n
tr
o
l
s
y
s
te
m
p
r
ese
n
ted
in
th
i
s
p
ar
t
is
b
ased
o
n
f
u
zz
y
l
o
g
ic
co
n
tr
o
ller
(
FL
C
)
is
s
e
lect
ed
m
ai
n
l
y
f
o
r
t
w
o
r
ea
s
o
n
s
:
T
h
e
f
ir
s
t
o
n
e
,
it
d
o
es
n
o
t
n
ee
d
an
y
m
at
h
e
m
atica
l
m
o
d
el
o
f
th
e
p
r
o
ce
s
s
u
n
d
er
co
n
tr
o
l
an
d
th
e
s
ec
o
n
d
o
n
e,
is
s
i
m
p
le
an
d
ea
s
y
f
o
r
p
r
ac
tical
im
p
le
m
e
n
tatio
n
s
,
it
i
s
ab
le
to
g
iv
e
a
v
er
y
s
ati
s
f
ac
to
r
y
p
er
f
o
r
m
a
n
ce
to
co
n
tr
o
l
t
h
e
g
r
i
d
s
id
e
co
n
v
er
ter
o
f
DFI
G
in
o
r
d
er
to
in
j
ec
t
th
e
p
o
w
er
p
r
o
d
u
ce
d
b
y
t
h
e
r
o
to
r
in
to
th
e
n
et
w
o
r
k
w
it
h
u
n
it
p
o
w
er
f
ac
to
r
an
d
r
eg
u
lati
n
g
t
h
e
D
C
b
u
s
at
a
d
esire
d
v
alu
e
.
T
h
e
r
ea
ctiv
e
p
o
w
er
Q
g
an
d
ac
tiv
e
p
o
w
er
P
g
fl
o
w
s
ar
e
r
esp
ec
tiv
el
y
e
x
p
r
ess
ed
as
f
o
llo
w
:
gd
gq
gq
gd
g
gq
gq
gd
gd
g
i
v
i
v
Q
i
v
i
v
P
2
3
2
3
(
2
3
)
T
h
e
g
r
id
v
o
ltag
e
s
p
ac
e
v
ec
to
r
is
alig
n
ed
alo
n
g
th
e
D
-
ax
i
s
,
w
e
o
b
tain
g
gd
gq
V
V
V
0
(
2
4
)
P
it
c
h
c
on
t
r
o
l
Gr
id
DF
I
G
Concor
d
ia
T
r
an
s
f
o
r
m
at
ion
3
2
ab
V
bc
V
b
a
i
i
,
r
V
r
V
r
i
r
i
F
l
u
x
r
r
r
T
o
r
q
u
e
+
-
r
e
f
r
r
a
r
c
t
g
opt
w
V
M
P
P
T
+
-
r
e
f
m
m
PI
+
-
r
e
f
em
T
H
i
d
d
e
n
L
a
y
e
r
S
e
c
t
o
r
K
I
n
p
u
t
L
a
y
e
r
O
u
t
p
u
t
L
a
y
e
r
C
o
n
t
r
o
l
V
e
c
t
o
r
Fig
u
r
e
.
11
.
Neu
r
al
Net
w
o
r
k
B
lo
ck
Fig
u
r
e
.
11
.
Neu
r
al
Net
w
o
r
k
B
lo
ck
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8
694
IJ
PEDS
Vo
l.
7
,
No
.
3
,
Sep
tem
b
er
2
0
1
6
:
688
–
7
0
0
695
T
h
e
r
ea
ctiv
e
an
d
ac
tiv
e
p
o
w
e
r
ex
ch
a
n
g
ed
w
it
h
an
elec
tr
ica
l
n
et
w
o
r
k
w
h
ic
h
ca
n
b
e
e
x
p
r
ess
ed
af
te
r
o
r
ien
tatio
n
b
y
eq
u
at
io
n
(
25
),
c
o
n
s
eq
u
e
n
tl
y
w
e
ca
n
co
n
tr
o
l
t
h
e
ac
tiv
e
p
o
w
er
b
y
th
e
d
-
ax
i
s
c
u
r
r
en
t
an
d
r
ea
cti
v
e
po
w
er
b
y
th
e
q
-
ax
is
c
u
r
r
en
t,
a
n
d
t
h
e
r
e
f
er
en
ce
v
alu
e
s
o
f
q
u
a
d
r
atic
cu
r
r
en
t
an
d
d
ir
ec
t
cu
r
r
e
n
t
c
o
m
p
o
n
e
n
t
s
ca
n
b
e
ex
p
r
ess
ed
r
esp
ec
tiv
el
y
a
s
f
o
llo
w
eq
u
atio
n
s
(
2
6
)
:
fq
g
g
fd
g
g
i
V
Q
i
V
P
(
2
5
)
g
r
e
f
g
r
e
f
fq
g
r
e
f
g
r
e
f
fd
v
Q
i
v
P
i
(
2
6
)
W
e
g
en
er
ate
th
e
r
e
f
er
en
ce
o
f
ac
tiv
e
p
o
w
er
b
y
r
e
g
u
la
tin
g
t
h
e
d
ir
ec
t
b
u
s
v
o
ltag
e
w
i
th
a
f
u
z
z
y
lo
g
iq
u
e
co
n
tr
o
ller
g
en
er
ati
n
g
th
e
c
u
r
r
en
t r
ef
er
e
n
ce
r
e
f
c
i
to
th
e
ca
p
ac
it
y
Fi
g
u
r
e
9.
T
h
u
s
,
w
e
ca
n
e
x
p
r
ess
r
e
f
p
as:
r
e
f
c
dc
dc
r
e
f
i
i
V
P
(
2
7
)
r
e
f
c
dc
r
e
f
P
P
P
(
2
8
)
w
it
h
:
dc
r
e
f
dc
r
e
f
c
V
V
F
L
C
i
(
2
9
)
Fig
u
r
e
.
9
.
DC
b
u
s
co
n
tr
o
l b
lo
c
d
iag
r
a
m
Su
b
s
ti
tu
t
in
g
(
2
4
)
in
(
1
8
)
an
d
(
1
9
)
g
iv
es:
c
o
m
p
fq
c
o
m
p
fd
V
fd
e
f
q
fq
V
g
fq
e
f
d
fd
i
L
e
V
V
i
L
e
V
(
3
0
)
w
h
er
e
dt
di
L
i
R
e
dt
di
L
i
R
e
fq
f
fq
f
q
fd
f
fd
f
d
(
3
1
)
+
-
r
e
f
c
i
dc
V
r
e
f
c
P
+
-
dc
i
r
e
f
P
r
e
f
dc
V
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
PEDS
I
SS
N:
2
0
8
8
-
8
694
I
n
tellig
en
t Co
n
tr
o
l fo
r
Do
u
b
ly
F
ed
I
n
d
u
ctio
n
Gen
era
to
r
C
o
n
n
ec
ted
to
th
e
E
lectrica
l
…
(
A
n
a
s
s
B
a
ko
u
r
i
)
696
Fig
u
r
e
10
s
h
o
w
s
t
h
e
Fu
zz
y
l
o
g
ic
co
n
tr
o
ller
w
h
er
e
p
E
an
d
q
E
a
r
e
th
e
cu
r
r
en
t
er
r
o
r
s
an
d
(
p
E
an
d
q
E
)
th
e
in
teg
r
atio
n
o
f
cu
r
r
e
n
t
er
r
o
r
s
ar
e
u
s
ed
as
i
n
p
u
ts
to
t
h
e
F
L
C
.
W
e
ad
d
ed
to
t
h
e
o
u
tp
u
t
o
f
t
h
e
F
L
C
,
th
e
ter
m
s
co
u
p
li
n
g
i
n
o
r
d
er
t
o
g
en
er
ate
t
h
e
r
o
to
r
r
ef
er
en
ce
v
o
lta
g
est
h
at
ap
p
lied
to
th
e
g
r
id
s
id
e
co
n
v
er
ter
.
S
ev
e
n
f
u
zz
y
s
ets
ar
e
ch
o
s
e
n
f
o
r
all
in
p
u
t
a
n
d
o
u
tp
u
t
w
h
ic
h
ar
e
(
p
o
s
itiv
e
s
m
all)
P
S,
(
p
o
s
itiv
e
m
ed
i
u
m
)
P
M
(
p
o
s
itiv
e
b
ig
)
P
B
,
(
ze
r
o
)
Z
,
(
n
eg
ati
v
eb
ig
)
NB
,
(
n
eg
at
iv
e
m
e
d
iu
m
)
NM
a
n
d
(
n
eg
at
iv
e
s
m
al
l)
NS.
T
h
r
ee
in
d
ep
en
d
en
t
s
FLCs
ar
e
u
s
ed
to
co
n
tr
o
l
t
h
e
r
ea
ctiv
e
p
o
w
er
s
t
h
at
e
x
ch
a
n
g
ed
b
et
w
ee
n
th
e
DFI
G
an
d
th
e
g
r
id
an
d
also
t
o
co
n
tr
o
l
th
e
d
c
-
lin
k
v
o
lta
g
e
Vd
c.
T
h
e
f
u
zz
y
lo
g
ic
co
n
tr
o
ller
co
n
t
ain
s
t
h
r
ee
f
u
n
ct
io
n
al
b
lo
ck
s
:
f
u
zz
i
ficatio
n
,
f
u
z
z
y
r
u
le
b
ase
a
n
d
d
ef
u
zz
i
fi
ca
t
io
n
.
T
h
er
e
ar
e
4
9
co
n
tr
o
l
r
u
les
in
d
icate
d
in
T
ab
le
2
:
w
h
er
e
pq
E
an
d
pq
E
as
t
h
e
i
n
p
u
t
s
i
g
n
a
ls
to
th
e
F
L
C
,
to
co
m
p
u
te
th
e
o
u
tp
u
t
o
f
t
h
e
F
L
C
,
t
h
e
d
ef
u
z
zifi
ca
tio
n
u
s
e
s
t
h
e
ce
n
ter
o
f
g
r
av
it
y
m
et
h
o
d
f
o
r
ea
ch
F
L
C
[
20
]
,
th
e
o
v
er
all
s
tr
u
ct
u
r
e
o
f
th
e
f
u
zz
y
l
o
g
ic
co
n
tr
o
l
o
f
g
r
id
-
s
id
e
co
n
v
er
ter
is
s
h
o
w
n
i
n
Fi
g
u
r
e
11.
Fig
u
r
e
10
.
B
lo
ck
d
iag
r
am
o
f
f
u
zz
y
co
n
tr
o
ller
Fig
u
r
e
11.
C
o
n
tr
o
l b
lo
ck
d
iag
r
a
m
o
f
g
r
id
-
s
id
e
co
n
v
er
ter
5.
SI
M
UL
AT
I
O
N
R
E
S
UL
T
S
T
o
ch
ec
k
th
e
ef
f
ec
ti
v
e
n
es
s
o
f
th
e
p
r
o
p
o
s
ed
co
n
tr
o
l
s
tr
at
e
g
i
es
u
n
d
er
v
ar
y
i
n
g
w
i
n
d
s
p
ee
d
,
s
i
m
u
lat
io
n
s
tu
d
ie
s
w
er
e
p
er
f
o
r
m
ed
f
o
r
a
1
.
5
M
W
DFI
G
-
b
ased
W
E
C
S
u
s
i
n
g
Ma
tlab
/
Si
m
u
lin
k
s
o
f
t
w
ar
e.
Fig
u
r
e
1
2
(
a)
s
h
o
w
s
th
e
w
in
d
s
p
ee
d
p
r
o
f
ile
o
f
DFI
G
-
b
ased
W
E
C
S.
T
h
e
w
i
n
d
s
p
ee
d
v
ar
ie
s
ar
o
u
n
d
th
e
r
ated
w
i
n
d
s
p
ee
d
w
h
ic
h
i
s
1
2
m
/s
.
T
h
e
v
ar
iatio
n
o
f
t
h
e
w
i
n
d
s
p
ee
d
p
r
o
v
o
k
e
s
th
e
c
h
a
n
g
e
o
f
w
a
y
o
f
f
u
n
ctio
n
i
n
g
in
th
e
s
y
s
te
m
.
C
ase
1
:
T
h
e
w
in
d
t
u
r
b
in
e
o
p
er
ate
in
th
e
MP
PT
o
p
er
atin
g
m
o
d
e,
w
h
en
t
h
e
w
i
n
d
s
p
ee
d
is
less
th
a
n
r
ated
s
p
ee
d
(
1
2
m
/
s
)
,
th
u
s
t
h
e
w
i
n
d
t
u
r
b
in
e
ca
n
g
e
n
er
ate
t
h
e
m
a
x
i
m
u
m
p
o
w
er
ac
co
r
d
in
g
to
th
e
s
p
ec
if
ic
w
i
n
d
s
p
ee
d
.
C
ase
2
:
Fo
r
h
i
g
h
w
i
n
d
s
p
ee
d
s
,
th
e
p
itch
co
n
tr
o
l
s
tar
ts
o
p
e
r
atin
g
.
T
h
er
ef
o
r
e
th
e
p
itch
an
g
le
i
s
i
n
cr
ea
s
ed
i
n
o
r
d
er
t
o
lim
it th
e
ca
p
t
u
r
e
d
w
i
n
d
p
o
w
er
to
its
r
ated
v
al
u
e.
+
-
R
u
le
b
as
e
R
u
lee
val
u
at
o
r
Dat
a
b
as
e
De
f
u
z
z
if
icat
i
on
F
u
z
z
if
icat
i
on
+
+
r
e
f
r
e
f
Q
P
,
r
e
f
P
+
-
+
-
r
e
f
g
Q
+
-
+
-
qf
e
f
i
L
qd
e
f
i
L
Gri
d
PW
M
a
b
c
f
i
dq
a
b
c
dq
a
b
c
s
PL
L
s
^
g
V
df
i
qf
i
df
V
qf
V
abc
V
+
^
g
V
f
L
f
R
dc
V
+
-
r
e
f
c
i
dc
V
r
e
f
c
P
+
-
dc
i
r
e
f
dc
V
r
e
f
fd
i
r
e
f
fq
i
26
Eq
26
Eq
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2088
-
8
694
IJ
PEDS
Vo
l.
7
,
No
.
3
,
Sep
tem
b
er
2
0
1
6
:
688
–
7
0
0
697
(
a)
(
b
)
(
c)
(
d
)
(
e
)
(f)
Fig
u
r
e
1
2
.
(
a)
w
i
n
d
s
p
ee
d
,
(
b
)
C
o
ef
f
icie
n
t o
f
p
er
f
o
r
m
a
n
ce
,
(
c)
tip
s
p
ee
d
r
atio
an
d
p
itch
an
g
l
e,
an
d
(
d
)
Me
ch
an
ical
s
p
ee
d
w
it
h
Op
ti
m
u
m
s
p
ee
d
o
f
r
ef
er
e
n
ce
,
(
e)
Mech
an
ical
p
o
w
er
,
(
f
)
A
c
tiv
e
s
ta
to
r
an
d
r
o
to
r
p
o
w
er
T
h
e
Fig
u
r
e
1
2
(
b
)
s
h
o
w
s
th
e
co
ef
f
icie
n
t
p
o
w
er
w
h
ich
i
s
eq
u
al
to
48
.
0
p
C
f
o
r
MP
PT
m
o
d
e
an
d
48
.
0
p
C
f
o
r
P
itch
co
n
tr
o
l
m
o
d
e.
T
h
e
Fig
u
r
e
1
2
(
c)
s
h
o
w
s
th
e
ti
p
s
p
ee
d
r
atio
an
d
p
itch
an
g
le
f
o
r
th
e
MP
PT
m
o
d
e
1
.
8
an
d
0
,
f
o
r
P
itch
co
n
tr
o
l
m
o
d
e
1
.
8
an
d
0
,
an
d
also
th
e
o
u
tp
u
t
p
o
w
er
is
k
ep
t
at
r
ated
v
alu
e
as
s
h
o
w
n
i
n
Fig
u
r
e
1
2
(
e
)
.
T
h
e
Fig
u
r
e
1
2
(
d
)
s
h
o
w
s
th
at
th
e
g
en
er
ato
r
s
p
ee
d
f
o
llo
w
t
h
e
o
p
ti
m
u
m
s
p
e
ed
v
er
y
w
ell
.
T
h
e
Fig
u
r
e
1
2
(
f
)
d
is
p
lay
s
th
e
e
v
o
lu
tio
n
o
f
t
h
e
ac
tiv
e
p
o
w
er
o
f
t
h
e
s
tato
r
an
d
r
o
to
r
.
Fig
u
r
e
1
3
(
a)
an
d
Fig
u
r
e
1
3
(
b
)
s
h
o
w
t
h
at
th
e
elec
tr
o
m
ag
n
eti
c
to
r
q
u
e
an
d
th
e
r
o
to
r
f
lu
x
f
o
llo
w
t
h
ei
r
r
ef
er
en
ce
v
al
u
es
r
esp
ec
ti
v
el
y
.
T
h
e
Fi
g
u
r
e
1
3
(
c)
s
h
o
w
s
t
h
at
th
e
D
C
-
li
n
k
v
o
ltag
e
is
r
eg
u
lat
ed
to
th
e
r
ef
er
e
n
ce
v
alu
e
fix
ed
at
1
4
0
0
V.
I
t
ca
n
b
e
s
ee
n
th
a
t
t
h
e
r
ea
cti
v
e
p
o
w
er
is
k
ep
t
at
ze
r
o
v
al
u
e
t
o
g
et
th
e
u
n
it
y
p
o
w
er
f
ac
to
r
o
p
er
atio
n
,
as sh
o
w
n
i
n
Fi
g
u
r
e
1
3
(
d
)
.
T
h
e
r
o
b
u
s
tn
es
s
o
f
t
h
e
p
r
o
p
o
s
ed
co
n
tr
o
l
s
tr
a
te
g
y
is
test
ed
b
y
u
s
i
n
g
t
h
e
v
ar
iatio
n
o
f
t
h
e
r
o
to
r
r
esis
ta
n
c
e
w
h
ic
h
v
al
u
e
u
s
ed
to
esti
m
ate
t
h
e
r
o
to
r
fl
u
x
as
s
h
o
w
n
i
n
(
2
0
)
is
r
ed
u
ce
d
to
2
0
%
o
f
its
r
ea
l
v
alu
e
.
First
ca
s
e
(
w
it
h
n
o
v
ar
iatio
n
i
n
p
ar
a
m
ete
r
o
f
m
ac
h
i
n
e)
:
t
h
e
s
i
m
u
latio
n
r
esu
lt
s
ar
e
p
r
esen
ted
in
F
ig
u
r
e
1
3
A
.
Seco
n
d
ca
s
e
(
w
it
h
8
0
% r
o
to
r
r
esis
ta
n
ce
er
r
o
r
)
: Fig
u
r
e
1
3
B
s
h
o
w
s
t
h
e
s
i
m
u
la
tio
n
r
es
u
lt
s
f
o
r
th
e
s
a
m
e
o
p
er
atio
n
co
n
d
itio
n
s
as
th
o
s
e
s
h
o
w
n
in
Fi
g
u
r
e
1
3
A
,
b
u
t
a
v
ar
iatio
n
8
0
%
r
o
to
r
r
esis
ta
n
c
e
er
r
o
r
w
as
ap
p
lied
f
r
o
m
th
e
ti
m
e
t=3
s
to
t=6
s
.
B
y
co
m
p
ar
i
n
g
t
h
e
r
es
u
lt
s
o
f
Fi
g
u
r
e
1
3
A
a
n
d
Fi
g
u
r
e
1
3
B
w
it
h
a
n
d
w
it
h
o
u
t
0
2
4
6
8
10
8
10
12
14
Ti
m
es
(s
)
a
)
Wi
nd
s
peed
(m
/
s
)
R
a
te
d
w
i
n
d
s
p
e
e
d
0
3
.
7
5
.
4
7
.
1
8
.
2
10
0
.
1
0
.
2
0
.
3
0
.
4
0
.
5
Ti
m
es
(s
)
b)
C
o
effi
ci
ent
po
w
er
M
P
P
T
M
od
e
P
i
t
c
h
c
on
t
r
ol
M
od
e
M
P
P
T
M
od
e
P
i
t
c
h
c
on
t
r
ol
M
od
e
M
P
P
T
M
od
e
0
3
.
7
5
.
4
7
.
1
8
.
2
10
0
2
4
6
8
.
1
10
Ti
m
es
(s
)
c)
Ti
p
s
peed
ra
ti
o
&
pi
tch
a
ng
l
e
(deg
ree)
M
P
P
T
M
od
e
P
i
t
c
h
c
on
t
r
ol
M
od
e
M
P
P
T
M
od
e
M
P
P
T
M
od
e
P
i
t
c
h
c
on
t
r
ol
M
od
e
T
i
p
s
p
e
e
d
r
at
i
o
P
i
t
c
h
an
gl
e
0
3
.
7
5
.
4
7
.
1
8
.
2
10
50
100
150
200
Ti
m
es
(s
)
d)
M
echa
ni
ca
l
s
peed
(m
/
s
)
M
P
P
T
M
od
e
M
P
P
T
M
od
e
P
i
t
c
h
c
on
t
r
ol
M
od
e
P
i
t
c
h
c
on
t
r
ol
M
od
e
M
e
cha
nica
l
spe
e
d
O
ptim
um
spe
e
d
M
P
P
T
M
od
e
0
3
.
7
5
.
4
7
.
1
5
8
.
2
10
0
0
.
5
1
1
.
5
2
x
1
0
6
Ti
m
es
(s
)
e)
M
echa
ni
ca
l
po
w
er
(w
)
M
P
P
T
M
od
e
M
P
P
T
M
od
e
P
i
t
c
h
c
on
t
r
ol
M
od
e
P
i
t
c
h
c
on
t
r
ol
M
od
e
M
P
P
T
M
od
e
0
2
4
6
8
10
-5
0
5
x
1
0
6
T
i
m
e
(
s
)
f)
A
cti
v
e
po
w
er
(w
)
Pr
-
P
s
A
c
ti
v
e
r
o
to
r
p
o
w
e
r
A
c
ti
v
e
s
ta
to
r
p
o
w
e
r
Evaluation Warning : The document was created with Spire.PDF for Python.