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te
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e
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ll
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n
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re
d
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v
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with
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r
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alter
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[
1
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.
T
h
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s
s
h
if
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n
b
e
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f
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tiv
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ac
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elec
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m
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to
r
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wh
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r
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V
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I
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2088
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8
6
9
4
Op
tima
l sp
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d
co
n
tr
o
l o
f S
R
M w
ith
in
teg
r
a
tio
n
o
f sw
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g
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r
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p
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…
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K
a
d
a
li R
a
vi
K
u
ma
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)
59
m
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h
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Ho
wev
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m
a
ch
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m
e
with
ce
r
tain
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it
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tin
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to
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e,
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r
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m
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SR
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d
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ab
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p
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m
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PM
SMs [
3
]
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Giv
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th
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SR
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is
h
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h
ly
s
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V
ap
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I
ts
r
o
b
u
s
t
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h
tem
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n
d
co
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th
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v
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all
r
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o
f
th
e
v
eh
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[
4
]
,
[
5
]
.
Fo
r
ef
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,
th
e
s
p
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m
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m
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tain
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s
tab
le
to
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an
d
m
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n
im
izin
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th
e
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r
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n
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s
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o
o
t.
T
h
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h
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o
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g
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c
u
r
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p
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ter
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ted
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h
e
SR
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I
n
th
is
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e
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ter
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e
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atter
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ea
ch
co
n
f
ig
u
r
ed
with
i
n
s
u
lated
g
ate
b
i
p
o
la
r
tr
an
s
is
to
r
(
I
GB
T
)
an
d
d
i
o
d
e
s
witch
es
in
a
f
u
ll
-
b
r
id
g
e
ar
r
a
n
g
em
e
n
t
[
5
]
,
[
6
]
.
T
h
e
in
teg
r
atio
n
o
f
th
e
SR
M
with
AH
B
s
an
d
th
e
cu
r
r
en
t
co
n
tr
o
l
s
tr
ateg
y
is
illu
s
tr
ated
in
Fig
u
r
e
1
.
As
illu
s
tr
ated
in
Fig
u
r
e
1
,
th
e
b
atter
y
p
ac
k
s
u
p
p
lies
p
o
wer
to
th
e
AH
B
s
,
wh
ich
ar
e
co
n
tr
o
lled
b
y
a
f
ee
d
b
ac
k
c
o
n
tr
o
ller
.
T
h
is
co
n
t
r
o
ller
g
en
er
ates
g
ate
p
u
ls
es
f
o
r
th
e
AHB
s
w
itch
es
(
S1
–
S6
)
b
ased
o
n
th
e
r
o
t
o
r
p
o
le
p
o
s
itio
n
d
etec
ted
b
y
th
e
‘
Po
s
itio
n
Dete
cto
r
’
m
o
d
u
le
[
7
]
.
T
h
e
s
wi
t
c
h
i
n
g
o
f
t
h
e
AH
B
s
is
s
y
n
c
h
r
o
n
i
z
e
d
w
i
t
h
t
h
e
r
o
t
o
r
p
o
s
it
i
o
n
a
n
d
g
o
v
e
r
n
ed
b
y
t
h
e
r
e
f
e
r
e
n
c
e
s
p
e
e
d
s
e
t
wi
t
h
i
n
t
h
e
c
o
n
t
r
o
l
l
er
.
I
n
c
o
n
v
e
n
ti
o
n
a
l
s
p
e
e
d
c
o
n
t
r
o
l
s
c
h
e
m
e
s
,
a
p
r
o
p
o
r
t
i
o
n
a
l
-
i
n
t
e
g
r
a
l
(
P
I
)
r
e
g
u
l
a
t
o
r
i
s
t
y
p
i
c
al
l
y
u
s
e
d
t
o
g
e
n
e
r
a
te
t
h
e
r
e
f
e
r
e
n
c
e
c
u
r
r
e
n
t
(
I
ref
)
.
H
o
w
e
v
er
,
d
u
e
t
o
t
h
e
u
n
d
e
r
d
a
m
p
e
d
n
a
t
u
r
e
o
f
t
h
e
P
I
r
e
g
u
l
at
o
r
,
t
h
e
s
y
s
t
em
e
x
p
e
r
i
e
n
c
e
s
s
i
g
n
i
f
i
c
a
n
t
i
n
i
t
ia
l
c
u
r
r
e
n
t
o
v
e
r
s
h
o
o
t
an
d
o
s
cillatio
n
s
,
wh
ich
r
esu
lt i
n
in
cr
ea
s
ed
s
ettlin
g
tim
e
an
d
p
o
ten
tial stre
s
s
o
r
d
am
ag
e
to
th
e
m
o
to
r
[
8
]
.
T
o
ad
d
r
ess
th
ese
lim
itatio
n
s
,
th
e
tr
ad
itio
n
al
PI
r
e
g
u
lato
r
is
r
ep
lace
d
with
a
s
witch
ed
v
ar
iab
l
e
p
r
o
p
o
r
tio
n
al
d
esatu
r
ati
o
n
PI
(
SVPDP
I
)
r
eg
u
lato
r
.
T
h
is
im
p
r
o
v
es
cu
r
r
e
n
t
s
tab
ilit
y
b
y
r
ed
u
c
in
g
p
ea
k
o
v
er
s
h
o
o
t
an
d
d
ec
r
ea
s
in
g
th
e
s
ettlin
g
ti
m
e
[
9
]
.
Ho
wev
er
,
s
in
ce
SVPDP
I
s
till
in
co
r
p
o
r
ates
a
p
r
o
p
o
r
tio
n
al
in
teg
r
al
(
PI
)
co
m
p
o
n
en
t,
it
s
u
f
f
er
s
f
r
o
m
a
r
elativ
ely
s
lo
w
d
y
n
am
ic
r
esp
o
n
s
e
[
1
0
]
.
T
o
en
h
an
ce
r
esp
o
n
s
iv
en
ess
,
th
is
p
ap
er
p
r
o
p
o
s
es
an
u
p
g
r
a
d
ed
v
e
r
s
io
n
o
f
SVPDP
I
b
y
in
teg
r
atin
g
a
f
u
zz
y
lo
g
ic
(
FL)
r
eg
u
lato
r
,
f
o
r
m
in
g
th
e
s
witch
ed
v
ar
iab
le
p
r
o
p
o
r
tio
n
al
d
esatu
r
a
tio
n
f
u
zz
y
lo
g
ic
(
SVPDF
L
)
c
o
n
tr
o
ller
[
1
1
]
.
T
h
e
FL
r
e
g
u
lat
o
r
em
p
lo
y
s
a
s
et
o
f
m
em
b
er
s
h
ip
f
u
n
ctio
n
s
(
MFs)
an
d
a
r
u
le
b
ase
to
d
y
n
a
m
ically
g
e
n
er
ate
t
h
e
r
e
q
u
ir
e
d
r
e
f
er
e
n
ce
s
ig
n
al,
en
ab
lin
g
f
aster
an
d
m
o
r
e
ad
a
p
tiv
e
co
n
tr
o
l p
er
f
o
r
m
an
ce
u
n
d
e
r
v
ar
y
in
g
s
y
s
tem
co
n
d
itio
n
s
[
1
2
]
.
T
h
is
p
ap
er
is
s
tr
u
ctu
r
ed
as
f
o
llo
ws:
i)
Sectio
n
1
p
r
esen
ts
an
in
tr
o
d
u
ctio
n
to
th
e
p
r
o
p
o
s
ed
SR
M
-
in
teg
r
ated
E
V
ar
ch
itectu
r
e
;
ii)
Sectio
n
2
d
etails
th
e
m
o
d
ellin
g
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
tem
alo
n
g
with
th
e
d
esig
n
o
f
th
e
s
p
ee
d
co
n
tr
o
ller
;
iii)
Sectio
n
3
f
o
cu
s
es
o
n
th
e
d
e
v
elo
p
m
en
t
o
f
th
e
SVPDF
L
r
eg
u
lato
r
f
o
r
s
p
ee
d
co
n
tr
o
l,
in
clu
d
in
g
th
e
co
m
p
lete
in
ter
n
al
s
tr
u
ctu
r
e
an
d
r
u
le
b
ase
o
f
t
h
e
f
u
zz
y
l
o
g
ic
m
o
d
u
le
;
iv
)
S
ec
tio
n
4
p
r
o
v
id
es
a
co
m
p
r
eh
e
n
s
iv
e
an
aly
s
is
o
f
th
e
s
im
u
latio
n
r
esu
lts
o
b
tain
ed
u
s
in
g
MA
T
L
AB
Simu
lin
k
,
ev
alu
atin
g
th
e
p
er
f
o
r
m
an
ce
o
f
th
e
p
r
o
p
o
s
ed
r
eg
u
lato
r
s
;
an
d
v)
Fin
ally
,
s
ec
tio
n
5
c
o
n
clu
d
es
th
e
p
a
p
er
b
y
v
alid
atin
g
t
h
e
ef
f
ec
tiv
en
ess
o
f
th
e
SVPDF
L
r
eg
u
lato
r
as
an
o
p
tim
al
c
o
n
t
r
o
ller
f
o
r
SR
M
s
p
ee
d
co
n
tr
o
l
.
R
ef
er
en
ce
s
cited
th
r
o
u
g
h
o
u
t t
h
e
p
ap
e
r
ar
e
lis
ted
af
ter
s
ec
tio
n
5
.
T
ab
le
1
.
Ma
ch
in
e
ty
p
e
c
o
m
p
ar
is
o
n
tab
le
P
a
r
a
me
t
e
r
S
R
M
I
n
d
u
c
t
i
o
n
m
o
t
o
r
P
M
S
M
R
o
t
o
r
c
o
mp
l
e
x
i
t
y
V
e
r
y
s
i
m
p
l
e
(
n
o
w
i
n
d
i
n
g
s)
M
o
d
e
r
a
t
e
(
sq
u
i
r
r
e
l
c
a
g
e
)
C
o
m
p
l
e
x
(
ma
g
n
e
t
s)
C
o
s
t
Lo
w
M
o
d
e
r
a
t
e
H
i
g
h
(
d
u
e
t
o
r
a
r
e
-
e
a
r
t
h
)
Ef
f
i
c
i
e
n
c
y
(
W
i
d
e
r
a
n
g
e
)
H
i
g
h
M
o
d
e
r
a
t
e
H
i
g
h
T
e
mp
e
r
a
t
u
r
e
t
o
l
e
r
a
n
c
e
H
i
g
h
M
o
d
e
r
a
t
e
Lo
w
(
ma
g
n
e
t
d
e
g
r
a
d
a
t
i
o
n
)
F
a
u
l
t
t
o
l
e
r
a
n
c
e
Ex
c
e
l
l
e
n
t
P
o
o
r
P
o
o
r
Fig
u
r
e
1
.
Stru
ctu
r
e
o
f
SR
M
in
teg
r
atio
n
in
to
E
V
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
1
7
,
No
.
1
,
Ma
r
c
h
20
2
6
:
58
-
68
60
2.
P
RO
P
O
SE
D
SYS
T
E
M
As
d
escr
ib
ed
in
s
ec
tio
n
1
,
th
e
s
p
ee
d
co
n
tr
o
l
o
f
t
h
e
SR
M
f
o
r
E
V
a
p
p
licatio
n
s
is
ac
h
iev
e
d
th
r
o
u
g
h
cu
r
r
en
t
r
eg
u
latio
n
o
f
th
e
s
tato
r
p
h
ases
.
T
o
o
p
er
ate
th
e
s
witc
h
es
o
f
th
e
AHB
s
,
it
i
s
e
s
s
en
ti
al
to
d
eter
m
in
e
th
e
r
o
to
r
p
o
s
itio
n
[
1
3
]
.
B
ased
o
n
th
e
r
o
to
r
’
s
p
o
s
itio
n
,
g
ate
p
u
ls
es
ar
e
g
en
er
ated
to
tu
r
n
ON
th
e
s
wi
tch
es
co
n
n
ec
ted
to
th
e
c
o
r
r
esp
o
n
d
i
n
g
s
tato
r
p
o
le
win
d
in
g
s
.
On
c
e
th
e
r
o
to
r
p
o
s
itio
n
is
id
en
ti
f
ied
,
th
e
r
ef
e
r
en
ce
cu
r
r
en
t
am
p
litu
d
e
r
eq
u
ir
ed
f
o
r
s
tato
r
p
o
le
ex
citatio
n
is
co
m
p
u
ted
[
1
4
]
.
T
h
is
r
ef
er
e
n
ce
cu
r
r
en
t
is
g
en
er
ated
b
y
th
e
s
p
ee
d
r
eg
u
lato
r
,
wh
ic
h
ca
lcu
lates
th
e
ap
p
r
o
p
r
iate
v
alu
e
b
ased
o
n
th
e
d
if
f
er
e
n
ce
b
etwe
en
th
e
r
ef
er
en
ce
an
d
m
ea
s
u
r
ed
s
p
ee
d
s
.
T
h
e
c
o
m
p
let
e
co
n
tr
o
l stru
ctu
r
e
o
f
t
h
e
SR
M
s
p
ee
d
co
n
tr
o
ller
,
in
clu
d
i
n
g
th
e
cu
r
r
en
t r
e
f
er
en
ce
g
en
er
ato
r
an
d
p
o
s
itio
n
s
en
s
o
r
,
is
illu
s
tr
ated
in
Fig
u
r
e
2
.
As
s
h
o
wn
in
Fig
u
r
e
2
,
th
e
p
o
s
itio
n
o
f
ea
ch
s
tato
r
p
o
le
is
d
etec
ted
u
s
in
g
a
p
o
s
itio
n
s
en
s
o
r
,
wh
ich
is
ess
en
tial
f
o
r
g
en
er
ati
n
g
p
u
ls
e
s
ig
n
als
to
co
n
tr
o
l
th
e
s
witch
e
s
in
th
e
asy
m
m
etr
ic
h
alf
b
r
id
g
e
(
AHB)
[
1
5
]
.
T
h
e
in
ter
n
al
co
n
f
ig
u
r
atio
n
o
f
th
is
p
o
s
itio
n
s
en
s
o
r
is
illu
s
tr
ated
i
n
Fig
u
r
e
3
.
As
s
h
o
wn
in
Fig
u
r
e
3
,
th
e
in
p
u
t
to
th
e
p
o
s
itio
n
s
en
s
o
r
is
th
e
m
ea
s
u
r
ed
s
p
ee
d
o
f
th
e
SR
M
(
ω
r
ad
/s
ec
)
.
T
h
is
s
p
ee
d
is
co
n
v
er
t
ed
in
to
d
eg
r
ee
s
to
d
eter
m
in
e
th
e
r
o
t
o
r
’
s
an
g
u
lar
p
o
s
itio
n
(
α
°)
[
1
6
]
.
T
h
e
p
o
s
itio
n
an
g
les
co
r
r
esp
o
n
d
in
g
to
th
e
th
r
ee
r
o
to
r
p
h
ase
p
o
les ar
e
g
iv
e
n
as
(
1
)
-
(
3
)
.
=
(
90
0
,
∫
0
)
(
1
)
=
(
90
0
,
∫
0
−
30
0
)
(
2
)
=
(
90
0
,
∫
0
−
60
0
)
(
3
)
T
h
e
ca
lcu
lated
r
o
to
r
p
h
ase
a
n
g
les
f
o
r
ea
ch
p
o
le
ar
e
co
m
p
ar
ed
ag
ai
n
s
t
a
d
e
f
in
ed
an
g
u
la
r
r
an
g
e.
A
tr
ig
g
er
s
ig
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[
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[
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2
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[
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[
2
3
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.
T
h
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u
p
d
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SVPDF
L
r
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with
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u
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5
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I
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L
im
itin
g
th
e
r
ef
e
r
en
ce
cu
r
r
e
n
t
u
s
in
g
ad
ap
tiv
e
d
esatu
r
atio
n
r
e
g
u
lat
o
r
s
is
n
ec
ess
ar
y
f
o
r
co
n
tr
o
l
o
v
er
th
e
in
itial
to
r
q
u
e
o
f
th
e
m
ac
h
in
e
to
av
o
i
d
u
n
ce
r
tain
ties
.
Fig
u
r
e
1
1
r
e
p
r
e
s
en
ts
th
e
SR
M
elec
tr
o
m
ag
n
etic
to
r
q
u
e
,
wh
ich
s
h
o
ws
th
e
i
n
itial
v
alu
e
o
f
th
e
SVPDP
I
an
d
SVPD
FL
r
eg
u
lato
r
s
to
b
e
7
0
Nm
.
Fig
u
r
e
1
2
is
th
e
co
m
p
a
r
is
o
n
o
f
f
lu
x
o
f
th
e
SR
M
,
wh
ich
ca
n
b
e
o
b
s
er
v
e
d
to
b
e
in
g
iv
en
li
m
its
with
a
m
ax
im
u
m
f
lu
x
v
alu
e
o
f
0
.
3
V.
s
.
Af
ter
th
e
s
p
ee
d
s
ettle
s
to
t
h
e
r
ef
er
en
ce
d
esire
d
v
alu
e
,
th
e
f
lu
x
d
r
o
p
s
to
0
.
1
V.
s
an
d
m
ain
tain
s
th
e
s
am
e
th
r
o
u
g
h
o
u
t
t
h
e
s
im
u
latio
n
.
Af
ter
th
e
s
p
ee
d
s
ettles,
th
e
f
lu
x
m
ag
n
itu
d
e
is
m
ain
tain
ed
th
e
s
am
e
f
o
r
all
th
e
r
eg
u
lato
r
s
.
As o
b
s
er
v
ed
in
Fig
u
r
e
13
,
th
e
s
p
ee
d
o
f
th
e
SR
M
with
th
e
SV
PDFL
r
eg
u
lato
r
in
teg
r
ated
SR
M
s
p
ee
d
co
n
t
r
o
ller
h
as
n
o
o
v
e
r
s
h
o
o
t
an
d
a
lo
wer
s
ettlin
g
tim
e
as
co
m
p
ar
ed
to
PI
an
d
SVPDP
I
r
eg
u
lato
r
s
.
A
p
ar
am
e
ter
co
m
p
ar
ativ
e
tab
le
with
SR
M
ch
ar
ac
ter
is
tics
is
p
r
esen
ted
in
T
ab
le
5.
Fig
u
r
e
8
.
Po
s
itio
n
s
en
s
o
r
tr
i
g
g
er
s
ig
n
als
Fig
u
r
e
9
.
I
ref
s
ig
n
al
g
en
e
r
ated
b
y
r
eg
u
lato
r
s
(
a)
f
u
ll si
m
u
latio
n
tim
e
p
lo
t a
n
d
(
b
)
zo
o
m
ed
p
lo
t
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
Op
tima
l sp
ee
d
co
n
tr
o
l o
f S
R
M w
ith
in
teg
r
a
tio
n
o
f sw
itch
in
g
va
r
ia
b
le
p
r
o
p
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r
tio
n
a
l
…
(
K
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d
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li R
a
vi
K
u
ma
r
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65
Fig
u
r
e
1
0
.
Fu
zz
y
o
u
tp
u
t w
ith
r
esp
ec
t to
th
e
r
u
le
b
ase
Fig
u
r
e
1
1
.
C
o
m
p
ar
is
o
n
o
f
elec
tr
o
m
ag
n
etic
to
r
q
u
e
o
f
SR
M
:
(
a)
f
u
ll si
m
u
latio
n
tim
e
p
lo
t a
n
d
(
b
)
z
o
o
m
e
d
p
lo
t
Fig
u
r
e
1
2
.
C
o
m
p
ar
is
o
n
o
f
f
lu
x
o
f
SR
M
:
(
a)
f
u
ll si
m
u
latio
n
ti
m
e
p
lo
t a
n
d
(
b
)
zo
o
m
ed
p
l
o
t
T
ab
le
5
.
C
o
m
p
a
r
is
o
n
tab
le
N
a
me
o
f
t
h
e
p
a
r
a
m
e
t
e
r
PI
S
V
P
D
P
I
S
V
P
D
F
L
I
r
e
f
p
e
a
k
8
0
0
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50
A
50
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r
e
f
r
i
p
p
l
e
6
0
%
2
0
%
2
0
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Te
p
e
a
k
1
1
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0
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70
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se
t
t
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0
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3
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2
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se
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1
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se
c
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e
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d
p
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a
k
1
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2
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m
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o
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e
a
k
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a
k
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d
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t
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me
0
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3
5
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c
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2
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c
0
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1
2
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
1
7
,
No
.
1
,
Ma
r
c
h
20
2
6
:
58
-
68
66
Fig
u
r
e
1
3
.
C
o
m
p
ar
is
o
n
o
f
SR
M
s
p
ee
d
s
5.
C
O
N
CL
US
I
O
N
T
h
e
s
p
ee
d
c
o
n
tr
o
l
o
f
th
e
S
R
M
is
im
p
lem
en
ted
in
th
e
MA
T
L
AB
Simu
lin
k
en
v
ir
o
n
m
en
t,
with
p
er
f
o
r
m
an
ce
a
n
aly
s
is
co
n
d
u
c
ted
th
r
o
u
g
h
g
r
a
p
h
ical
r
e
p
r
ese
n
tatio
n
s
.
I
n
itially
,
t
h
e
u
s
e
o
f
a
co
n
v
en
tio
n
al
PI
r
eg
u
lato
r
r
esu
lted
in
an
u
n
d
e
r
d
am
p
ed
r
esp
o
n
s
e,
ca
u
s
in
g
s
ig
n
if
ican
t
in
itial
p
ea
k
s
an
d
r
ip
p
les
in
th
e
SR
M’
s
cu
r
r
en
t,
to
r
q
u
e,
a
n
d
s
p
ee
d
.
T
o
ad
d
r
ess
th
is
is
s
u
e,
th
e
PI
r
e
g
u
lato
r
was
r
ep
lace
d
with
an
SVPDP
I
r
eg
u
lato
r
,
wh
ich
en
h
a
n
ce
d
d
am
p
in
g
a
n
d
co
n
tr
o
ller
r
esp
o
n
s
iv
en
ess
,
th
er
eb
y
r
e
d
u
cin
g
p
ea
k
o
v
er
s
h
o
o
t
in
th
ese
p
ar
am
eter
s
.
Ho
we
v
er
,
s
in
ce
th
e
SVPDP
I
r
eg
u
lato
r
s
till
in
co
r
p
o
r
ates
a
tr
ad
itio
n
al
PI
co
m
p
o
n
en
t,
th
e
im
p
r
o
v
em
e
n
t
in
r
esp
o
n
s
e
tim
e
was
lim
ited
.
T
o
o
v
er
co
m
e
th
is
lim
itatio
n
,
th
e
tr
ad
itio
n
al
PI
r
eg
u
lato
r
was
r
ep
lace
d
with
a
f
u
zz
y
lo
g
ic
m
o
d
u
le
with
in
th
e
SVPDP
I
s
tr
u
ctu
r
e.
T
h
is
m
o
d
i
f
icatio
n
s
ig
n
if
ican
tly
en
h
an
ce
d
th
e
co
n
tr
o
ller
’
s
r
esp
o
n
s
e
tim
e,
elim
in
atin
g
o
v
er
s
h
o
o
ts
an
d
en
s
u
r
in
g
f
aster
s
ettlin
g
o
f
th
e
SR
M
s
p
ee
d
.
T
h
e
g
r
ap
h
ical
r
esu
lts
co
n
f
ir
m
im
p
r
o
v
ed
m
ac
h
in
e
p
er
f
o
r
m
a
n
ce
,
with
r
ed
u
ce
d
cu
r
r
en
t
p
ea
k
s
an
d
to
r
q
u
e
r
ip
p
les,
th
er
eb
y
in
c
r
ea
s
in
g
s
y
s
tem
r
eli
ab
ilit
y
.
F
UNDING
I
NF
O
R
M
A
T
I
O
N
Au
th
o
r
s
s
tate
n
o
f
u
n
d
in
g
in
v
o
lv
ed
.
AUTHO
R
CO
NT
RI
B
UT
I
O
NS ST
A
T
E
M
E
N
T
T
h
is
jo
u
r
n
al
u
s
es
th
e
C
o
n
tr
ib
u
to
r
R
o
les
T
ax
o
n
o
m
y
(
C
R
ed
iT)
to
r
ec
o
g
n
ize
in
d
iv
id
u
al
au
th
o
r
co
n
tr
ib
u
tio
n
s
,
r
ed
u
ce
au
th
o
r
s
h
ip
d
is
p
u
tes,
an
d
f
ac
ilit
ate
co
llab
o
r
atio
n
.
Na
m
e
o
f
Aut
ho
r
C
M
So
Va
Fo
I
R
D
O
E
Vi
Su
P
Fu
K
ad
ali
R
av
i K
u
m
ar
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
Nar
en
d
er
J
ato
th
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
Sh
aik
Mo
h
am
m
e
d
Mu
k
ass
ir
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
C
:
C
o
n
c
e
p
t
u
a
l
i
z
a
t
i
o
n
M
:
M
e
t
h
o
d
o
l
o
g
y
So
:
So
f
t
w
a
r
e
Va
:
Va
l
i
d
a
t
i
o
n
Fo
:
Fo
r
mal
a
n
a
l
y
s
i
s
I
:
I
n
v
e
s
t
i
g
a
t
i
o
n
R
:
R
e
so
u
r
c
e
s
D
:
D
a
t
a
C
u
r
a
t
i
o
n
O
:
W
r
i
t
i
n
g
-
O
r
i
g
i
n
a
l
D
r
a
f
t
E
:
W
r
i
t
i
n
g
-
R
e
v
i
e
w
&
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d
i
t
i
n
g
Vi
:
Vi
su
a
l
i
z
a
t
i
o
n
Su
:
Su
p
e
r
v
i
s
i
o
n
P
:
P
r
o
j
e
c
t
a
d
mi
n
i
st
r
a
t
i
o
n
Fu
:
Fu
n
d
i
n
g
a
c
q
u
i
si
t
i
o
n
CO
NF
L
I
C
T
O
F
I
N
T
E
R
E
S
T
ST
A
T
E
M
E
NT
Au
th
o
r
s
s
tate
n
o
co
n
f
lict o
f
in
t
er
est.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
Op
tima
l sp
ee
d
co
n
tr
o
l o
f S
R
M w
ith
in
teg
r
a
tio
n
o
f sw
itch
in
g
va
r
ia
b
le
p
r
o
p
o
r
tio
n
a
l
…
(
K
a
d
a
li R
a
vi
K
u
ma
r
)
67
DATA AV
AI
L
AB
I
L
I
T
Y
T
h
e
au
th
o
r
s
co
n
f
ir
m
th
at
th
e
d
ata
s
u
p
p
o
r
tin
g
th
e
f
in
d
in
g
s
o
f
th
is
s
tu
d
y
ar
e
av
ailab
le
with
in
th
e
ar
ticle
[
an
d
/o
r
its
s
u
p
p
lem
en
tar
y
m
ater
ials
]
.
RE
F
E
R
E
NC
E
S
[
1
]
J.
M
o
r
f
e
l
d
t
,
S
.
D
a
v
i
d
sso
n
K
u
r
l
a
n
d
,
a
n
d
D
.
J
.
A
.
Jo
h
a
n
ss
o
n
,
“
C
a
r
b
o
n
f
o
o
t
p
r
i
n
t
i
m
p
a
c
t
s
o
f
b
a
n
n
i
n
g
c
a
r
s
w
i
t
h
i
n
t
e
r
n
a
l
c
o
m
b
u
st
i
o
n
e
n
g
i
n
e
s
,
”
T
r
a
n
sp
o
r
t
a
t
i
o
n
Re
s
e
a
rc
h
Pa
r
t
D
:
T
ra
n
s
p
o
rt
a
n
d
En
v
i
r
o
n
m
e
n
t
,
v
o
l
.
9
5
,
p
.
1
0
2
8
0
7
,
J
u
n
.
2
0
2
1
,
d
o
i
:
1
0
.
1
0
1
6
/
j
.
t
r
d
.
2
0
2
1
.
1
0
2
8
0
7
.
[
2
]
N
.
H
a
,
“
C
o
m
p
a
r
a
t
i
v
e
e
n
v
i
r
o
n
m
e
n
t
a
l
i
mp
a
c
t
s
o
f
I
n
t
e
r
n
a
l
c
o
m
b
u
st
i
o
n
e
n
g
i
n
e
v
e
h
i
c
l
e
s
w
i
t
h
h
y
b
r
i
d
v
e
h
i
c
l
e
s
a
n
d
e
l
e
c
t
r
i
c
v
e
h
i
c
l
e
s
i
n
C
h
i
n
a
—
B
a
se
d
o
n
l
i
f
e
c
y
c
l
e
a
ss
e
ssm
e
n
t
,
”
i
n
2
0
1
9
4
t
h
I
n
t
e
rn
a
t
i
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
Ad
v
a
n
c
e
s
i
n
En
e
rg
y
a
n
d
En
v
i
r
o
n
m
e
n
t
R
e
se
a
rc
h
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