Internati
o
nal
Journal of P
o
wer Elect
roni
cs an
d
Drive
S
y
ste
m
(I
JPE
D
S)
V
o
l.
4, N
o
. 3
,
Sep
t
em
b
e
r
2014
, pp
. 32
1
~
32
8
I
S
SN
: 208
8-8
6
9
4
3
21
Jo
urn
a
l
h
o
me
pa
ge
: h
ttp
://iaesjo
u
r
na
l.com/
o
n
lin
e/ind
e
x.ph
p
/
IJPEDS
Analysis of Direct Torque Cont
rol of Industrial Drives using
Zone-Shifting SVM
Vicky
J
o
se
*,
K.Vin
o
th Ku
mar
*
, S. Sure
s
h
Ku
mar
*
*, Nithin.
T. Abr
a
h
a
m*
, Do
na
Mari
a Ma
the
w
*
* Department of
Electrical and
Elect
ron
i
cs Eng
i
neering, School of
Electr
ical Sciences, Karun
y
a University
,
T
a
mi
l
n
a
d
u,
I
n
dia
** Departm
e
n
t
o
f
El
ectron
i
cs
and
Com
m
unication
Engin
eering
,
Dr
.NGP.Institute o
f
Technolog
y
,
C
o
im
batore,
T
a
mi
l
n
a
d
u,
I
n
dia
Article Info
A
B
STRAC
T
Article histo
r
y:
Received
Ja
n 17, 2014
Rev
i
sed
Ap
r 2, 20
14
Accepted Apr 19, 2014
Direct Torqu
e
C
ontrol of Induction Motor has gained popular
ity
in industrial
appli
cat
ions m
a
inl
y
du
e to its
sim
p
le control structure fro
m
its first
introduction in
1986. Here th
e direct
torque
control (DTC) o
f
induction
m
o
tor with zone shifting space vector m
odulat
i
on (SVM)
has b
een done. It
us
es
a s
i
m
p
le phas
e
curren
t
r
e
-c
onstruction algorithm for th
ree phase
induction
motor
(IM). Th
e phase
current
re-
c
onstr
uction
algor
ithm is done
b
y
using information from the current th
at is fro
m the phases between
the
inverter and the
induction motor. The
proposed algorithm is robust and ver
y
s
i
m
p
le. It us
es
the AC current t
o
get the s
t
ato
r
current for es
ti
m
a
ting the
motor flux and the electromagnetic torq
u
e
. B
y
ev
aluating through
the torqu
e
value and th
e current th
e con
t
rolling of indu
ction motor is done. Th
e
simulation results are also given whic
h supports the direct tor
que control
strateg
y
of
the
in
duction
m
o
tor (I
M).
Keyword:
Di
rect
T
o
r
q
ue
C
ont
r
o
l
I
ndu
ctio
n m
o
to
r
Space vector m
odulation
Zon
e
sh
ifting
Strateg
y
Copyright ©
201
4 Institut
e
o
f
Ad
vanced
Engin
eer
ing and S
c
i
e
nce.
All rights re
se
rve
d
.
Co
rresp
ond
i
ng
Autho
r
:
K.
Vin
o
th K
u
m
a
r,
Depa
rt
m
e
nt
of
El
ect
ri
cal
and
El
ect
roni
cs
E
n
gi
nee
r
i
n
g,
School
of Elec
trical Sciences,
Karun
y
a Un
iv
ersity,
Co
im
b
a
to
r
e
–
6
411
14
, Tam
i
l
n
adu
,
Ind
i
a
Em
a
il: k
v
i
n
o
t
h_
ku
m
a
r8
4@yah
o
o
.
i
n
1.
INTRODUCTION
The c
o
ncept
o
f
di
rect
t
o
rq
ue
co
nt
r
o
l
o
f
t
h
e i
n
d
u
ct
i
o
n m
o
t
o
r (
I
M
)
has
bee
n
st
a
r
t
e
d
and
gai
n
e
d
p
opu
lar
ity in
th
e f
i
eld of
indu
str
i
al sector
.
Th
e
D
T
C m
e
t
h
od
is
h
a
v
i
ng
si
m
ilarit
i
es with
th
e
field-orien
t
ed
cont
rol
de
spi
t
e a sim
p
l
e
struct
ure.
In
fa
ct
t
h
e DTC
cont
rol
i
s
ha
vi
ng t
h
e cl
ose
d
l
o
o
p
co
nt
r
o
l
of t
h
e
electro
m
a
g
n
e
tic to
rqu
e
an
d the flux
witho
u
t
u
s
ing
t
h
e cu
rren
t loo
p
or t
h
e sh
aft sen
s
o
r
s.
In
DTC
m
e
t
hod t
h
e i
n
fo
rm
ati
on a
b
o
u
t
st
at
or c
u
r
r
ent
a
n
d
DC
-l
i
n
k v
o
l
t
a
ge w
h
i
c
h i
s
us
ed wi
t
h
t
h
e
i
nve
rt
er s
w
i
t
c
hes st
at
es
t
o
get
t
h
e
val
u
es
o
f
fl
u
x
a
n
d e
l
ect
rom
a
gnet
i
c
t
o
r
q
ue.
The
pape
r “
D
i
r
ect
Tor
q
ue
C
ont
r
o
l
o
f
I
P
M
sy
nch
r
o
n
o
u
s
m
o
t
o
r usi
n
g
back
st
ep
pi
n
g
app
r
oach”
by
G.F
o
o an
d M
.
F.R
a
ham
a
n, a
nd t
h
e
pape
r “
I
nc
o
r
p
o
r
at
i
n
g
co
nt
r
o
l
t
r
aject
ori
e
s
wi
t
h
t
h
e
di
re
ct
t
o
r
que
co
nt
r
o
l
sc
hem
e
of i
n
t
e
ri
or
pe
rm
anent
m
a
gne
t
sy
nch
r
o
n
o
u
s
m
o
t
o
r dri
v
e”
by
M
.
E.Ha
q
u
e
and M
.
F
.
R
a
ham
a
n expl
ai
ns cu
rre
nt
sensi
n
g by
t
h
e
use o
f
gal
v
a
n
i
cal
l
y
i
s
ol
at
ed cu
rre
nt
sens
or a
nd t
h
e
Hal
l
effect
se
nso
r
. T
h
e c
u
r
r
e
nt
m
easurem
ent
i
s
do
ne
by
usi
n
g
t
h
ese se
ns
ors
b
u
t
t
h
e
di
sa
dva
nt
age
i
s
t
h
e c
o
st
, e
n
c
u
m
b
rance an
d
n
o
n
-
l
i
n
ea
ri
t
y
. A
not
her
pa
p
e
r
by
D.W.willia
m
s
an
d
T.C.Green
“Deriv
ation
of m
o
to
r lin
e-cu
rren
t wav
e
form
s
fro
m
th
e d
c
-lin
k
cu
rren
t
o
f
an
i
nve
rt
er” he
re
si
ngl
e cu
r
r
ent
s
e
ns
or
ope
rat
i
o
n has
bee
n
p
r
o
pos
ed t
o
rec
o
n
s
t
r
uct
t
h
e
phas
e
cur
r
ent
f
r
o
m
dc l
i
n
k
cur
r
ent
se
ns
or
.
An
ot
he
r m
a
i
n
app
r
oach i
s
ba
sed
on
es
tim
a
t
i
o
n of
p
h
a
se usin
g pr
ed
iction
-
co
rrectio
n algo
rith
m
s
by
T.M
.
Wol
b
a
nk a
n
d P
.
M
achi
e
ne
r “A
n i
m
prove
d o
b
se
rve
r
-
b
ase
d
c
u
r
r
ent
c
ont
rol
l
e
r
fo
r i
n
vert
e
r
f
e
d A
C
mach
in
es
with sing
le
DC-link
cu
rren
t m
eas
u
r
em
en
t”. Ha
v
i
ng
t
h
e
de
fect
of
ad
di
t
i
onal
c
o
m
put
at
i
onal
b
u
r
d
e
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
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-86
94
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J
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S
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l.
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,
No
.
3
,
Sep
t
em
b
e
r
2
014
:
32
1 – 328
32
2
to
d
r
iv
e system. Th
e
p
a
p
e
r’
s
by M. Ber
t
o
l
u
z
zo
,
G
.
Buj
a
, an
d R. Men
i
s, “D
i
r
ect tor
q
u
e
contr
o
l
o
f
an inductio
n
m
o
t
o
r usi
ng a
si
ngl
e cu
rre
nt
sens
or,
”
an
d E
.
Peral
t
a
-Sa
n
c
h
ez, F.
Al
-ri
fa
i
,
and N
.
Sc
ho
fi
el
d, “Di
r
ect
t
o
r
q
ue
C
ont
r
o
l
o
f
pe
r
m
anent
m
a
gnet
m
o
t
o
rs usi
ng
a si
ngl
e cu
rre
n
t
senso
r
,” i
s
o
n
l
y
deal
i
ng wi
t
h
t
h
e DTC
m
e
t
h
od
o
f
IM and
PMSM
.
In t
h
i
s
pa
per t
h
e p
h
ase cu
rre
nt
i
s
m
easured
from
t
h
e phas
e
s. An
d ba
sed
on t
h
e se
nse
d
pha
se cur
r
e
n
t
DTC
m
e
t
hod i
s
d
one
an
d s
w
i
t
chi
n
g
ha
p
p
ene
d
.
DTC
m
e
t
h
o
d
i
s
m
a
i
n
l
y
based
on
t
h
e s
w
i
t
c
hi
n
g
.
The
swi
t
chi
n
g
t
a
bl
e gi
ves t
h
e
opt
i
m
al
i
nvert
e
r
s
w
i
t
c
hi
n
g
st
at
e f
o
r
t
h
e
i
n
vert
er. B
y
t
h
e
use
of
v
o
l
t
a
ge
and
th
e cu
rren
t
ob
tain
ed
fr
om
t
h
e cur
r
e
n
t
and
vol
t
a
ge sensi
n
g pa
rt
s i
s
used t
o
ded
u
c
e
fl
ux a
nd el
ec
t
r
om
agnet
i
c
t
o
r
que
. The
vol
t
a
ge an
d
cu
rren
t h
y
steresis
con
t
ro
ller determin
e
vo
ltag
e
requ
ired
t
o
d
r
i
v
e
th
e
fl
u
x
an
d
torqu
e
fo
r
th
e p
a
rticu
l
ar ti
m
e
.
The basi
c bl
oc
k di
ag
ram
i
s
gi
ven
bel
o
w
as F
i
gu
re 1.
Fi
gu
re
1.
B
a
si
c DTC
From
t
h
e v
o
l
t
a
ge a
n
d
cu
rre
nt
ap
pr
op
ri
at
e m
a
gni
t
u
de c
u
rre
n
t
an
d
v
o
l
t
a
ge
are t
o
be
o
b
t
a
i
n
ed.
Fr
om
these electrom
a
gnetic torque
and
flux are
estim
a
ted, a hy
st
eresi
s
cont
r
o
l
i
s
d
one a
n
d
vol
t
a
ge
vect
o
r
s t
o
be
appl
i
e
d a
r
e
ob
t
a
i
n
ed f
r
om
t
h
e swi
t
c
hi
n
g
t
a
bl
e. T
h
e t
o
r
q
u
e
and
fl
u
x
ca
n be
de
duce
d
fr
om
t
h
e fol
l
o
wi
n
g
equat
i
o
ns
,
∅
(
1
)
3
2
P (
∅
)
(
2
)
Fi
gu
re 2.
DTC
sect
ors
an
d
i
n
v
e
rt
er vol
t
a
ge v
ect
ors
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
PED
S
I
S
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:
208
8-8
6
9
4
Analysis of
Direct Torque Co
ntrol
of Industrial Drives
us
i
n
g Zone-Shifting
SVM (Vicky
Jose)
32
3
Tabl
e
1. B
a
si
c
DTC
s
w
i
t
c
hi
n
g
t
a
bl
e
∅
Sec
I
Sec I
I
S
e
c
II
I
Sec I
V
Sec V
Sec V
I
1
1
V5
V6
V1
V2 V3 V4
0
V3
V4
V5
V6 V1 V2
0
1
V6
V1
V2
V3 V4 V5
0
V2
V3
V4
V5 V6 V1
2. DI
RECT
T
O
RQ
UE CO
N
T
ROL
ST
RA
TEGY
Figure
3. Sector selection
Fi
gu
re
4.
Pr
o
p
o
se
d m
odel
DTC strateg
y
is qu
ite d
i
fferen
t fr
om
t
h
at
o
f
t
h
e
fi
el
d
o
r
i
e
nt
at
i
o
n
co
nt
r
o
l
(F
OC
)
o
r
vec
t
or c
o
nt
rol
,
whic
h does not need com
p
licated co
o
r
di
na
t
i
on t
r
ans
f
orm
a
t
i
ons an
d dec
o
u
p
l
i
n
g cal
cul
a
t
i
on. He
re a sim
p
l
e
cur
r
ent
re
-co
n
s
t
ruct
i
o
n al
g
o
r
i
t
h
m
i
s
do
ne
by
usi
n
g c
u
r
r
e
n
t
s
e
ns
or.
T
h
e st
at
or
cu
rre
nt
s a
n
d
t
h
e
dc-l
i
n
k
v
o
l
t
ages
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
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-86
94
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S
Vo
l.
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,
No
.
3
,
Sep
t
em
b
e
r
2
014
:
32
1 – 328
32
4
are sam
p
l
e
d a
n
d
base
d
on
t
h
e
sam
p
l
e
d vol
t
a
g
e
an
d c
u
r
r
e
n
t
t
o
r
q
ue a
n
d
fl
u
x
are c
r
eat
ed
. T
h
ese t
o
r
que
a
n
d
fl
u
x
are agai
n u
n
d
e
r
g
o
n
e t
r
an
sf
or
m
a
t
i
ons t
o
f
o
r
m
vol
t
a
ge a
nd
cu
rren
t that is u
s
ed
fo
r switch
i
ng
. Th
e switch
i
ng
i
s
done by
using
space vect
or s
w
itching m
e
th
od. On the fi
rs
t im
plem
entation the contro
l system
should
be able
t
o
ge
ner
a
t
e
m
o
re v
o
l
t
a
ge
vect
ors;
t
h
i
s
co
ul
d
be ac
hi
eve
d
by
ap
pl
y
i
ng at
ea
ch cy
cl
e pe
ri
o
d
vol
t
a
ge
vect
ors
at
specified i
n
terval of tim
e. This
leads to a
space vect
or
m
odulation (S
VM).
In im
proving the DTC
m
e
thod
l
o
o
k
u
p
t
a
bl
e a
nd a
d
just
i
n
g t
h
e st
at
or fl
u
x
se
ct
or w
h
i
c
h i
s
t
a
ken
fr
om
00
06
0
to
(gi
v
en i
n
Fig
u
re
3)
(by
zo
ne
shi
f
t
i
n
g st
rat
e
g
y
)
i
n
st
ead of
-
30 a
nd +
30 de
gree as o
f
basi
c DTC
schem
e
s. The p
r
o
p
o
s
e
d DTC
m
e
t
h
od i
s
gi
ve
n i
n
t
h
e
Fi
gu
re
4.
The s
w
i
t
c
hi
n
g
t
a
bl
e an
d t
h
e
v
o
l
t
a
ge
vect
o
r
a
r
e
gi
ve
n i
n
Ta
b
l
e 2, a
n
d Fi
gu
r
e
5.
Tabl
e 2. Swi
t
c
hi
n
g
t
a
bl
e
Flux error position
Torque error position
Sec
I
Sec II
Sec III
Sec IV
Sec V
Sec V
I
1
1 V2
V3
V4
V5
V6
V1
0 V7
V0
V7
V0
V7
V0
-1 V6
V1
V2
V3
V4
V5
0
1 V3
V4
V5
V6
V1
V2
0 V0
V7
V0
V7
V0
V7
-1 V5
V6
V1
V2
V3
V4
Fi
gu
re 5.
V
o
l
t
a
ge Vect
o
r
SVM techn
i
ques h
a
v
e
sev
e
ral ad
v
a
n
t
ag
es t
h
at are
o
f
feri
ng
b
e
tter
DC bu
s u
tilizatio
n
,
lo
wer to
rqu
e
ripp
le, lower
To
tal Harm
o
n
i
c
Disto
r
tion
(THD) i
n
th
e
AC
m
o
to
r
cu
rren
t, lo
wer
switc
hi
n
g
l
o
ss
es, a
n
d e
a
si
er
to
im
p
l
e
m
en
t i
n
the
d
i
g
ital syste
m
s. At each cycle p
e
riod
,
a prev
iew techn
i
qu
e is u
s
ed
t
o
o
b
t
ai
n
th
e
vo
ltag
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
PED
S
I
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208
8-8
6
9
4
Analysis of
Direct Torque Co
ntrol
of Industrial Drives
us
i
n
g Zone-Shifting
SVM (Vicky
Jose)
32
5
space
vector
re
qui
red to
e actly com
p
ensate t
h
e
flux a
n
d
torque
errors. T
h
e
torque
ri
pple for this
SVM
D
TC is
si
gni
fi
ca
nt
l
y
im
prove
d an
d swi
t
c
hi
n
g
fre
q
u
e
ncy
i
s
m
a
i
n
t
a
i
n
ed co
nst
a
nt
. The t
w
o swi
t
c
hi
n
g
st
at
es (SA a
n
d
SB) ar
nam
e
d active switching states.S
A
indicates th
e in
v
e
rter
sw
itch
i
ng
states (
0
01)
, (100
), or
(0
10)
and
SB
indicates the i
nve
rter s
w
itchi
ng
states (101), (110) or
(011). In
DTC,
wit
h
the
space
ve
ctor PWM tec
hni
que
,
the DTC trans
i
ent perform
a
nce and robust
n
ess are pre
s
erved and the steady state torque ripple is reduced.
M
o
re
ove
r,
t
h
e
i
nve
rt
er s
w
i
t
c
h
i
ng
fre
q
u
ency
i
s
co
nst
a
nt
a
n
d
t
o
t
a
l
l
y
cont
r
o
l
l
a
bl
e.
3.
SI
MULATION
RES
U
L
T
S &
DIS
C
USSIO
N
S
The si
m
u
l
a
t
i
on fo
r t
h
e
p
r
op
os
ed
DTC
m
e
t
hod i
s
do
ne
by
t
h
e M
A
TL
AB
/
S
I
NUL
I
NK m
o
d
e
l
based
o
n
po
we
r sy
st
em
t
ool
bo
x. B
a
s
e
d o
n
t
h
e si
m
u
l
a
t
i
on
o
u
t
c
o
m
e t
h
e beha
vi
or
of
t
h
e
pr
o
p
o
se
d DTC
m
e
t
h
o
d
i
s
analyzed a
n
d c
oncl
ude
d. T
h
e
speci
fication
s
o
f
th
e i
n
du
ction
m
o
to
r i
n
th
is
stu
d
y
are as fo
llo
ws.
mi
n
1.1
,
4
15
,
5
0
,
1415
,
6
.03
,
6
.085
,
r
nn
n
s
r
pk
w
u
v
f
H
z
R
R
2
29.
9
,
2
9.
9
,
489.
3
,
0
.
0
11787
.
ls
lr
m
Lm
H
L
m
H
L
m
H
J
K
g
m
Fi
gu
re
6 sh
o
w
s
t
h
e va
ri
at
i
ons
of t
h
e m
o
t
o
r t
o
rq
ue i
n
t
h
e p
r
o
pos
ed c
o
nt
rol
s
c
hem
e
. Fi
rst
,
t
h
e m
achi
n
e
i
s
fl
u
x
ed
wi
t
h
a zero
re
fere
nc
e t
o
r
que
, t
h
e
n
at
0.
25s
,
we se
t
t
h
e t
o
r
q
ue re
f
e
rence t
o
3.
5
Nm
(50%
o
f
t
h
e rat
e
d
t
o
r
que
) a
n
d
a t
o
r
q
ue i
n
ver
s
i
o
n i
s
m
a
de at
1s
.
Tor
q
ue R
e
fe
re
nce
:
0
3.
5
-
3
.
5
Tim
e
: 0
0.25
1
(s
ec)
Fi
gu
re 6.
To
r
q
ue dy
nam
i
c
Fi
gu
re
7.
C
i
rcu
l
ar fl
u
x
t
r
aject
ory
Fi
gu
re
8.
P
h
as
e cu
rre
nt
s
dy
na
m
i
c duri
n
g
t
o
r
que
reve
rsal
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
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:
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088
-86
94
I
J
PED
S
Vo
l.
4
,
No
.
3
,
Sep
t
em
b
e
r
2
014
:
32
1 – 328
32
6
Fig
u
r
e
. 9 Stator
cu
rr
en
t
o
f
Indu
ctio
n m
o
to
r
The a
b
ove
Figu
res rep
r
esen
ts th
e sim
u
latio
n
resu
lts
o
f
t
h
e ph
ase cu
rrent d
y
n
a
m
i
cs d
u
ring
torqu
e
reve
rsal.
We c
a
n see that the
change in t
h
e three c
u
rre
n
ts
Ia
,
Ib
,
and
Ic
c
a
use
d
by
t
h
e t
o
rq
ue re
ve
rsal
i
s
very
fast.
And
wh
en
th
e torqu
e
rev
e
rsal is h
a
pp
en
ed at th
e ti
m
e
in
stan
t
of
1
s
ec th
en th
e th
ree
p
h
a
se
o
u
t
p
u
t
cu
rren
t
and the
stator c
u
rrent a
r
e
ha
ving the
phase
re
versal.
4.
CO
NCL
USI
O
N
Th
e d
i
rect torqu
e
con
t
ro
l o
f
in
du
ction
m
o
to
r is d
o
n
e
and
,
th
e to
rqu
e
is in
th
e co
n
t
ro
lled
rang
e. Si
n
c
e
there a
r
e l
o
ss
es the
torque
is in control
l
ed
by
using the discreet
s
p
ace vector m
odulation
te
chni
que
.
Sim
u
l
a
t
i
on o
f
t
h
e sy
st
em
i
s
done
by
usi
n
g
M
A
TLAB
/
Si
m
u
l
i
n
k
an
d t
h
e
o
u
t
p
ut
wa
ve
fo
r
m
s are obt
ai
ne
d.
A
n
d
fro
m
th
e wav
e
form
s th
e in
feren
ces are m
a
d
e
wh
ich g
i
v
e
s
p
o
s
itiv
e resu
lt
reg
a
rd
i
n
g th
e co
n
t
ro
l st
rateg
y
o
f
th
e
in
du
ctio
n m
o
to
r.
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a
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4
Analysis of
Direct Torque Co
ntrol
of Industrial Drives
us
i
n
g Zone-Shifting
SVM (Vicky
Jose)
32
7
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e
ders
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f
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ent fo
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04; 19(6): 1526–
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[20]
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,
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a
hns
. P
h
as
e curr
en
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tru
c
t
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m
eas
urem
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ve
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.
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r Electronics
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[21]
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.
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is of
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e
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l Sch
e
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.
In
ternational Jour
nal of Power
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2012
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[22]
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,
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ge Rid
e
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c
tion Machine using Direct
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ue
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a
teg
y
.
Intern
ation
a
l
Journal
of Power Electr
onics and
Drive Systems.
2
013; 3(1): 95-10
4.
BIBLIOGRAPHY
OF AUT
HORS
Vicky
Jose
received his B.Tech. degree
in E
l
ec
t
r
ica
l
and El
ectro
ni
cs Engineerin
g from Kerela
Univers
i
t
y
, Ker
e
la, Indi
a. P
r
es
en
t
l
y
h
e
is
purs
u
ing M.Tech in Power Ele
c
tron
ics an
d Drives from
Karun
y
a Univer
s
i
t
y
, Coim
batore
, Tam
il Nadu, I
ndia. His
pres
ent res
earch int
e
re
s
t
s
are Neural
Networks and F
u
zzy
Logic, Sp
ecial mach
ines
, Application
of Sof
t
Computing
Technique.
K. Vin
o
th
Ku
mar
rece
ived his
B.E. deg
r
ee in
E
l
ec
tric
al
and Electronics Engineering from Anna
University
, Chennai, Tamil Nad
u
, India. He obt
ained M
.
Tech
in
P
o
wer Electron
i
cs
and Drives
from
VIT Univers
i
t
y
, V
e
llor
e
,
Tam
il Nadu
, In
dia. P
r
es
entl
y h
e
is
working as
an As
s
i
s
t
ant
Professor in the School of
Elect
rical Science,
Karun
y
a Institut
e of Techno
log
y
and Sciences
(Karun
y
a
University
)
,
Co
imbato
re,
Tamil Nadu,
India. He is pu
rsuing PhD degr
ee
in Karun
y
a
Universit
y
,
Coi
m
batore, Ind
i
a
.
His present r
e
search
inter
e
sts are Cond
ition
Monitoring of
Industrial Drives, Neural Netw
orks and Fuzzy
L
ogic, Special machines,
Application of Soft
Computing Tech
nique. He has pu
blished various
pape
rs in
international journ
a
ls and confer
ences
and also published four tex
t
bo
oks. He is a
member of IEEE (USA), MIST
E and also in
Interna
tiona
l
associa
tion of
E
l
ec
t
r
ica
l
Eng
i
ne
ers (
I
AENG).
S.
Sur
e
s
h K
u
mar
rece
ived h
i
s
B.E. degr
ee i
n
Elec
tric
al and
Elec
tronics
En
gineer
ing from
Bharath
i
ar Univ
ers
i
t
y
, Co
im
bat
o
re,
Tam
il Nad
u
, India in 199
2. He
has obtained M.E. from
Bharath
i
ar Univ
ersity
, Coimbato
re,
Tamil Nadu,
India
in 1997. H
e
has r
e
ceived
d
o
ctoral degr
ee
from Bharathiar
University
, Coimba
tore,
Tamil
Nadu, India
in 2
007. Presently
h
e
is working
as
a
Professor and Head of
the department for
Elec
t
r
ica
l
and
El
ec
tr
onics
Engin
eer
i
ng in Karun
y
a
Institute
of T
ech
nolog
y
and Sci
e
nces (Karun
ya
Un
iversit
y
), Co
i
m
batore,
Tam
il
Nadu, Indi
a. He
is having 17 y
e
a
r
s of teaching ex
perien
ce from
PSG
College of technolog
y
.
His present resear
ch
inter
e
sts are Electrical Machines
and Power Qu
ality
.
He has alr
ead
y
publish
e
d 107 papers in
intern
ation
a
l
jou
r
nals and
in
terna
tional
conf
eren
ces. He is
a member of
IEEE (US
A
), ASE
IS
CA, M
C
S
I
, an
d M
I
S
TE and
a
l
s
o
in In
tern
ation
a
l as
s
o
ci
ation
of
Ele
c
tri
cal
Eng
i
n
eers
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
088
-86
94
I
J
PED
S
Vo
l.
4
,
No
.
3
,
Sep
t
em
b
e
r
2
014
:
32
1 – 328
32
8
Nithin T.
Abraham
re
ce
i
v
e
d
hi
s
B.
T
e
c
h
.
de
gree
in E
l
ec
tr
ical and
Electronics Engineering
from
Karun
y
a Unive
r
sit
y
, Co
im
bator
e
,
Tam
i
l
Nadu,
India
.
Presen
tl
y h
e
is pursuin
g M.Te
ch
in
Renewable Ener
g
y
Technologies
from Karun
y
a
University
, Coimbat
ore, Tamil
Nadu, India. His
pres
ent res
ear
ch
interes
t
s
are Ne
ural Networks
and F
u
zz
y
Logi
c,
S
p
ecial m
achin
es
, Applica
tion
of Soft Computing Technique.
Don
a
Maria M
a
th
e
w
re
ce
ived
his
B.Te
ch. d
e
g
r
ee in
El
ect
ric
a
l
and El
ec
tronics
Engine
ering
from
Kerela Univers
i
t
y
, Ker
e
la
, I
ndia. P
r
es
ent
l
y
h
e
is
purs
u
ing M
.
Tech in P
o
wer E
l
ec
tronics
and
Drives
from
Karun
y
a Univ
ers
i
t
y
,
Coim
batore, Ta
m
il Nadu, India.
His
pres
ent res
earch int
e
res
t
s
are Neural Networks and Fuz
z
y
Logic, Specia
l m
achin
es,
Applica
tion of
Soft Com
puting
Techn
i
que.
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