Internati
o
nal Journal
of App
lied Power E
n
gineering
(IJAPE)
V
o
l.
3, N
o
. 1
,
A
p
r
il
201
4, p
p
.
1
~
8
I
S
SN
: 225
2-8
7
9
2
1
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
/
IJAPE
Fuzzy L
ogi
c Con
t
roller B
a
s
e
d Sing
le Buck
Boost
Converter for
Solar PV Cell
K. M
a
nickavasa
g
a
m
Pr
inci
pal,
Go
pala
n C
o
lle
ge o
f
En
gi
neeri
ng a
nd Man
g
e
m
e
n
t, B
a
n
g
al
ore,
Ka
rnata
k
a
Article Info
A
B
STRAC
T
Article histo
r
y:
Received Apr 16, 2013
Rev
i
sed
Au
g
27
, 20
13
Accepted
Sep 14, 2013
This paper
deals with solar po
wer
production
controlled b
y
F
u
zzy
Log
i
c
Controller
(FLC
) and Single Inp
u
t Buck
-Boost (
S
IBB) converter
. Since the
solar energ
y
is
continuously
v
a
r
y
ing
,
accord
ing
to the irrad
i
ation the FLC
generates contro
l pulses to switch on
the M
O
S
F
ET dev
i
ce
. To
a
n
al
yz
e the
real
tim
e
feasibilit
y
of this m
e
thod,
th
e s
y
stem
is sim
u
lat
e
d b
y
usin
g
MATLAB/Simu
link 2010a. A simulation mode
l
of the s
y
s
t
em is develop
e
d
with solar
Photo
voltai
c
(PV) c
e
l
l
,
FLC
and SIBB
in
contrad
i
ct
ion
of th
e r
eal
world conditions
. Th
e r
e
sults
are
presen
ted
and
discussed in th
is p
a
per.
Keyword:
Fuzzy
L
o
gic Cont
roller
(FLC
)
Sin
g
l
e In
put Bu
ck
-
B
oost
(SIBB)
c
o
n
v
ert
e
r
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.Manic
k
a
v
as
agam
,
Pr
i
n
ci
pal
,
Gop
a
lan C
o
ll
eg
e of Eng
i
neeri
ng and
M
a
ng
em
en
t
,
Bangalore, Karnataka,
I
n
d
i
a
,
Mob
il
e no
:
+91 0776090182
.
Em
a
il: ma
n
i
c
a
v
a
s
a
g
a
m2
003@yahoo.co
m
1.
INTRODUCTION
Solar e
n
ergy is continuously vary
ing according to the clim
atic conditio
n.
The va
riation i
n
irra
diation
affects the s
o
la
r powe
r produced by
th
e
p
a
nel. Th
e so
lar po
wer is con
s
id
ered as
pre
dominant resourc
e
s whe
n
com
p
ared
with othe
rs.
In this
field m
a
ny researches
ar
e ca
rrying
on to improve the
e
ffic
i
ency
of
s
o
lar
po
we
r
pr
o
duct
i
o
n.
Th
e p
e
rform
a
n
ce of PV syste
m
can
b
e
en
h
a
n
c
ed
b
y
p
o
wer con
v
e
rt
er with
in
tellig
en
t co
n
t
ro
l
t
echni
q
u
es t
o
d
e
vel
o
p t
h
e ci
rc
ui
t
m
odel
t
o
i
m
prove t
h
e e
f
f
i
ci
ency
of s
o
l
a
r p
o
w
e
r
gene
ra
t
i
on. M
P
PT al
go
ri
t
h
m
i
s
one
po
wer
f
u
l
su
gge
st
i
on
fo
r st
an
d-al
on
e Sol
a
r sy
st
e
m
s t
o
im
prov
e t
h
e effi
ci
enc
y
. The ap
pl
i
cat
i
on
o
f
M
a
xi
m
u
m
Power
Poi
n
t
Tr
a
c
ki
n
g
i
n
t
h
e
P
V
m
odul
e
was
de
vel
o
ped
[
1
]
–
[
3
]
t
o
ac
hi
ev
e hi
g
h
pe
rf
or
m
a
nce i
n
act
ual
fi
el
d. M
odel
i
n
g
of
buc
k co
n
v
ert
e
r
usi
ng M
A
TL
AB
i
s
expl
ai
ne
d i
n
[4]
.
R
e
searc
h
e
r
s are car
ri
ed
out
i
n
the solar cell for t
h
e understa
ndi
ng
of
the c
h
aracteristic fe
atures
an
d wo
rk
ing
scen
ar
io
s
[
5
]–[7
].
Th
e
p
o
w
e
r
con
v
e
r
t
e
r
desi
gns
f
o
r s
o
l
a
r
P
V
cel
l
s
a
r
e
gi
v
e
n i
n
[
8
]
–
[1
1]
.
Th
e co
nv
en
ti
on
al con
t
ro
llers u
s
ed
ar
e in
sufficien
t
beca
u
s
e
of
c
h
a
n
ges i
n
o
p
e
r
at
i
n
g
p
o
i
n
t
s
d
u
r
i
n
g a
dai
l
y
cy
cl
e a
n
d
m
a
y
no
l
o
ng
er
be
s
u
i
t
a
bl
e i
n
al
l
o
p
e
r
at
i
n
g
cond
ition
s
.
T
h
e use
of intelligence
contro
llers are
cited in
the m
o
st of the
pa
pers
rece
ntly [12]-[14] which ha
s
fast
er t
r
a
n
si
e
n
t
res
p
o
n
ses
an
d
i
s
m
o
re ro
b
u
s
t
t
h
an
seve
ral
cont
rol
m
e
t
h
o
d
.
Th
e m
e
t
hod
of c
o
nst
r
uct
i
o
n
o
f
fuzzy
rul
e
s
an
d
t
h
ei
r
usa
g
e
of
m
e
m
b
ershi
p
f
u
nct
i
o
n
s
are
gi
v
e
n i
n
[
1
5]
-[
17]
.
In
t
h
is p
a
p
e
r,
a Fu
zzy log
i
c
co
n
t
ro
ller al
o
n
g
with
a sing
le in
pu
t bu
ck
-b
oo
st conv
erter i
s
p
r
op
osed,
wh
ich
can
d
e
al with
ph
o
t
o
v
o
ltaic po
wer i
n
d
i
v
i
du
ally b
a
sed
on
th
ei
r av
ailab
ility at t
h
at g
i
v
e
n
in
st
an
t.
In
con
v
e
n
t
i
onal
c
ont
rol
l
e
r,
t
h
e s
y
st
em
or p
r
oc
ess bei
ng c
o
nt
rol
l
e
d i
s
m
ode
l
e
d. B
u
t
i
n
a
f
u
zzy
co
nt
r
o
l
l
e
r, t
h
e
foc
u
s i
s
on t
h
e
hum
an o
p
erat
or'
s
j
u
d
g
m
e
nt
. Hence
f
u
zzy
l
ogi
c
pr
o
v
i
d
es
a po
we
rf
ul
re
p
r
esent
a
t
i
o
n a
n
d g
o
o
d
resu
lts
for m
easu
r
em
en
ts of un
certain
ties
p
r
esen
t i
n
th
is prob
lem
.
Sin
ce, th
e av
ailab
ility o
f
sun
l
i
g
h
t
is
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
252
-87
92
IJA
P
E Vol
.
3
,
No
. 1, A
p
ri
l
20
14
:
1 – 8
2
co
n
tinuo
usly varyin
g
;
th
e
fu
zzy lo
g
i
c con
t
roller is u
s
ed
t
o
g
e
n
e
rate th
e
pu
lses fo
r M
O
SFET d
e
v
i
ce
wh
ich
is
con
n
ect
ed
wi
t
h
si
n
g
l
e
i
n
put
b
u
ck
-
b
o
o
st
c
o
n
v
e
rt
er t
o
ge
ne
rat
e
re
qui
re
d
o
u
t
p
ut
.
2.
MODELING OF
THE SYSTEM
Fig
.
1
illu
strates b
l
o
c
k d
i
ag
ram
o
f
th
e so
lar
p
o
wer
g
e
n
e
ratio
n system
. Th
e m
a
j
o
r circu
it ele
m
en
ts are
PV cell,
FLC,
MOSFET
,
si
ngle inpu
t bu
ck
-bo
o
s
t
conv
erter, b
a
ttery an
d load
.
Th
e FLC
gen
e
rates t
h
e con
t
ro
l
sig
n
a
l
d
e
p
e
nd
s on
th
e av
ailab
ility o
f
sun
ligh
t
, to
ach
i
eve requ
ired
v
o
ltag
e
.
Th
e
reso
urce av
ailab
l
e wit
h
requ
ired
p
o
wer lev
e
l is co
nn
ected
to
t
h
e acti
v
e system
t
o
su
ppl
y
t
h
e
l
o
a
d
a
n
d
t
h
e m
ode
o
f
o
p
erat
i
o
n
pre
f
erre
d
will d
ecid
e
b
y
th
e con
t
ro
ller.
Fi
g
1. B
l
ock
di
agram
of t
h
e
pr
op
ose
d
sy
st
em
3.
PRINCIPLE OPERATION
OF
THE
PROPOSE
D
SYSTEM
A sc
hem
a
ti
c di
agram
of a si
n
g
l
e
i
n
put
buc
k
-
b
o
o
st
co
n
v
ert
e
r i
s
gi
ven
i
n
Fi
g.
2.
As
sh
o
w
n
,
a
buc
k-
b
o
o
s
t co
nv
er
ter
is no
th
i
n
g but cascad
e co
nnectio
n
o
f
t
h
e t
w
o basic c
o
nverters: the
step-down c
o
nve
rt
er and
step-up converter. T
h
e m
a
in
application
of s
u
ch a c
o
nverter is i
n
regu
lated
d
c
po
wer
su
pp
lies, wh
ere a
n
e
g
a
tiv
e
po
lari
ty o
u
t
pu
t m
a
y
b
e
d
e
si
red
with
resp
ect to
the co
mm
o
n
termin
al o
f
th
e in
pu
t vo
ltag
e
, an
d
t
h
e
out
put
v
o
l
t
a
ge
can
be
ei
t
h
er
hi
g
h
er
o
r
l
o
we
r t
h
a
n
t
h
e i
n
p
u
t
vol
t
a
ge [
1
8]
.
The
co
nt
r
o
l
si
gnal
ge
nerat
i
o
n,
f
o
r
t
h
e sel
ect
i
on o
f
avai
l
a
bl
e en
ergy
res
o
urce
and t
h
e
reg
u
l
a
t
i
on o
f
o
u
t
p
ut
vol
t
a
ge
of t
h
e dc-
d
c co
nve
rt
er i
s
cont
rol
l
e
d
by
F
L
C
.
Fi
g
2.
Si
n
g
l
e
i
n
p
u
t
B
u
ck
-B
o
o
s
t
co
nve
rt
er
of
t
h
e p
r
op
ose
d
s
y
st
em
4.
DESIG
N
OF
BUCK
BOO
S
T DC
-
D
C
C
O
NVE
RTER
The
b
u
ck
-
b
o
o
s
t
co
nve
rt
er ci
r
c
ui
t
pa
ram
e
t
e
r
s
o
f
t
h
i
s
pr
op
o
s
ed m
e
t
hod
i
s
desi
g
n
e
d
as
f
o
l
l
o
ws.
S
o
m
e
of
t
h
e i
m
port
a
nt
ci
rc
ui
t
pa
ra
meters are listed
as fo
llo
ws:
Input P
o
we
r
P
in
:
5
0
W
a
tts
PV
pa
nel
v
o
l
t
a
ge
:
12
V
Efficiency
η
:
0
.
9
Out
put
Powe
r
P
o
:
4
5
W
a
tts
Out
put C
u
r
r
e
n
t
I
o
:
3.
75
A
Battery
: 1
2
V
Sw
itch
i
ng
f
r
e
qu
en
cy
: 2
0
kH
z
Swi
t
c
hi
n
g
pe
ri
od
T=1/
f=T
on
+T
o
ff
R
e
gul
at
ed
o
u
t
p
ut
o
b
t
a
i
n
e
d
fr
o
m
t
h
e dc
-dc
co
nve
rt
er
is
used to c
h
arge t
h
e
battery and t
h
e
connect
e
d
load. T
h
e
duty
cycle D is ass
u
med as
0.5. T
h
e mi
nim
u
m
value
of inducta
nce (L
) a
n
d capacitance (C)
PV
Cell
MOSF
ET
Si
ngl
e
bu
ck
-boo
st
conve
r
te
r
Load
Batte
r
y
Gate Pulses
Pr
oduced by
FLC
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
APE
I
S
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:
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2-8
7
9
2
Fuzzy
Lo
gi
c C
ont
r
o
l
l
e
r B
a
se
d
Si
n
g
l
e
B
u
ck
Bo
ost
C
o
nvert
e
r f
o
r
S
o
l
a
r
PV
C
e
l
l
(
K
. Mani
ckava
sa
g
a
m)
3
L = R
[1
-
D]
2
/ 2f
(1)
Δ
V
o
/V
o
=
DT
s
/ RC
(
2
)
Usi
n
g e
q
uat
i
o
n
s
(
1
)
an
d
(
2
)
t
h
e m
i
nim
u
m
values
of
inductor and ca
pacitor
are calculate
d
for t
h
e
dc-
d
c
co
nv
er
ter
an
d expr
essed
belo
w
inductance
(L
)
ܮሻ
: 5
m
H
capacitance
(C
)
: 15µF
5.
DESIGN OF FUZ
Z
Y
LOGIC CONTROLLER
In
th
is p
a
p
e
r, th
e FLC is u
s
ed
to
g
e
n
e
rate
th
e pu
lses to
d
r
iv
e th
e MOSFET. Th
e PV cell’s
out
put
v
o
l
t
a
ge
(
V
)
an
d c
h
a
n
ge i
n
out
put
v
o
l
t
a
ge
(
∆
V) a
r
e chose
n
as
a
n
input to the
fuzzy logic
cont
rol
l
e
r.
T
h
e
co
nt
r
o
l
out
put
(
u
)
si
g
n
al
i
s
c
o
m
p
ared
wi
t
h
t
r
i
a
ng
ul
ar
wa
v
e
fo
rm
and
ge
n
e
rat
e
d
p
u
l
s
es
are use
d
t
o
sw
i
t
c
h on t
h
e M
O
SFE
T. T
h
e i
n
p
u
t
o
f
FLC
P
V
cel
l
’
s o
u
t
p
u
t
vol
t
a
ge
(V
) a
nd c
h
a
nge i
n
out
put
v
o
l
t
a
ge
(
∆
V
)
are co
nv
ert
e
d i
n
t
o
f
u
zz
y
val
u
es by
fu
zzi
fi
cat
i
on. Th
e range
s of i
n
p
u
t
and o
u
t
put
v
a
riab
les are assig
n
e
d
with
lin
gu
istic v
a
riables. Th
e
Gau
ss
m
e
m
b
ersh
ip
fu
n
c
tion
is used in
th
is wo
rk
.
Th
e i
n
pu
t an
d
o
u
t
p
u
t
v
a
riab
les are assign
ed
with
5
ling
u
i
sti
c
v
a
riab
les as fo
llo
ws:
1
.
Th
e
PV cell outp
u
t
v
o
ltage
(V) is classified in
to
:
Negative
m
a
xim
u
m
(V
-v
e
m
a
x
);
Negat
i
v
e m
e
di
u
m
(V
-ve
m
e
d
); Zero
(
V
zero
);
Positiv
e m
e
d
i
u
m
(V
+ve
m
e
d
); Po
sitiv
e m
a
x
i
m
u
m
(V
+vem
ax
)
2.
The
c
h
a
nge
i
n
out
put
v
o
l
t
a
ge (
∆
V ) is classified
in
to
:
N
e
g
a
t
i
v
e ma
x
i
mu
m (
∆
V
-v
em
a
x
)
;
N
e
g
a
t
i
v
e
m
e
d
i
u
m
(
∆
V
-vem
ed
); Zero
(
∆
V
zero
);
Po
sitiv
e
m
e
di
um
(
∆
V
+ve
m
ed
); Po
sitive m
a
x
i
m
u
m
(
∆
V
+vem
ax
)
3.
The output
of fuzzy
logic
co
n
t
ro
ller
u
is classified
in
t
o
:
Negat
i
v
e m
a
xi
m
u
m
(u
-ve
m
ax
)
;
Negat
i
v
e m
e
di
um
(u
-
v
em
ed
); Zero (
u
zero
);
p
o
s
itiv
e med
i
u
m
(u
+ve
m
ed
); Po
sitive m
a
x
i
m
u
m
(u
+ve
m
ax
).
The i
n
put
vari
abl
e
V a
nd
∆
V
lies w
ith
in
t
h
e r
a
n
g
e
of
[
-
0
.
0
188
0.001
] an
d
[
-
0
.
00
9.0.0
188
].
Th
e co
n
t
ro
l
ou
tpu
t
‘u
’ lies i
n
th
e
rang
e
o
f
[0
0
.
01
23
]. Th
ese inpu
t and o
u
t
p
u
t
r
a
ng
es ar
e used
fo
r
designing the
FLC, in which
each of
input and
out
put set is assigne
d w
ith
five linguistic varia
b
les and
25
r
u
l
e
s a
r
e f
r
a
m
ed i
n
fuzzy
i
n
fe
rence
en
gi
n
e
. T
h
e r
u
l
e
s a
r
e gi
ve
n i
n
Fi
g .
3
.
Fi
g
.
3
Pi
ct
ure
of
FLC
rul
e
ba
se
In t
h
i
s
desi
gn
,
“C
ent
e
r
of
gr
avi
t
y
M
e
t
hod”
i
s
used
f
o
r
de
fuzzi
fi
cat
i
o
n.
I
t
sho
u
l
d
be
no
t
e
d t
h
at
f
o
r
vari
ous r
u
l
e
s (
r
=1
…R
) w
oul
d be i
n
o
p
erat
i
on f
o
r a set
of (V,
V
), eac
h recom
m
endi
ng
possi
bl
y
di
f
f
ere
n
t
fu
zzy con
t
ro
ller action
s
.
Th
e
d
e
fu
zzified
o
u
t
p
u
t
is ob
tain
ed
b
y
th
e
fo
llo
wi
ng
ex
pressi
o
n
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. 1, A
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20
14
:
1 – 8
4
R
r
r
r
R
r
r
H
H
u
1
1
'
(
5
)
Whe
r
e µ
r
’ i
s
t
h
e
m
e
m
b
ershi
p
val
u
e
of t
h
e
l
i
ngui
st
i
c
var
i
abl
e
recom
m
endi
ng t
h
e
fuzz
y
cont
r
o
l
l
e
r
act
i
on a
n
d
H
r
i
s
the
precise
num
e
rical value corres
p
on
d
i
ng to
th
at
fu
zzy co
n
t
ro
ller actio
n.
6.
SIMULATION RESULTS
Th
e ad
ap
tab
ility o
f
t
h
is
p
r
op
o
s
ed m
e
th
o
d
is stud
ied b
y
sim
u
lat
i
n
g
t
h
e circu
it m
o
d
e
l ag
ain
s
t t
h
e
di
ffe
re
nt
p
o
ssi
bl
e real
wo
rl
d
si
t
u
at
i
ons
usi
n
g M
A
TLAB
/
Si
m
u
li
nk
20
1
0
a.
The si
m
u
l
a
t
i
on di
ag
ram
i
s
sho
w
n
i
n
Fig
.4
. Th
e so
l
a
r irrad
i
ation
i
s
g
i
v
e
n to pho
to
v
o
ltaic
cell.
Th
e so
lar pho
t
o
vo
ltaic cell gen
e
rates vo
ltage b
a
sed
o
n
th
e
so
lar irrad
i
atio
n
.
Fi
g .
4
Si
m
u
l
i
n
k m
odel
The s
o
l
a
r i
r
ra
di
at
i
on i
s
c
ont
i
n
u
o
u
s
l
y
chan
gi
n
g
beca
use
of
weat
he
r a
n
d cl
o
u
d
.
I
n
t
h
i
s
pape
r, t
h
e
v
a
riation
is cho
s
en
as sho
w
n
in
Fig
.5. Th
e
v
o
ltag
e
(V) from so
lar cell is
g
i
v
e
n
as on
e of th
e in
pu
t to
FLC an
d
th
e ch
ang
e
in
v
o
ltag
e
(
∆
V
)
i
s
gi
ven as an
ot
her i
n
put
t
o
F
L
C
.
The FLC
out
put
i
s
com
p
ared wi
t
h
ram
p
si
gnal
t
o
p
r
od
uce
gat
e
p
u
l
s
es.
The
wi
dt
h
o
f
t
h
e
ga
t
e
pul
ses
i
s
use
d
to deci
de the
duty cycle (d)
of t
h
e M
O
SFE
T. T
h
e
FLC
o
u
t
p
ut
,
ra
m
p
si
gnal
an
d t
r
i
g
ger
p
u
l
s
e
ge
nerat
e
d ar
e
gi
v
e
n i
n
Fi
g
6
.
a,
6
.
b a
n
d
6.c.
Fi
g .
5
Sol
a
r i
r
r
a
di
at
i
on
–i
np
ut
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7
9
2
Fuzzy
Lo
gi
c C
ont
r
o
l
l
e
r B
a
se
d
Si
n
g
l
e
B
u
ck
Bo
ost
C
o
nvert
e
r f
o
r
S
o
l
a
r
PV
C
e
l
l
(
K
. Mani
ckava
sa
g
a
m)
5
Fig .
6
.a
Fig
. 6.b
Fig .
6
.c
The i
n
put
wav
e
fo
rm
of buc
k
bo
ost
co
n
v
ert
e
r i
s
sh
ow
n i
n
F
i
g. 7
.
a. T
h
e f
o
c
u
se
d wa
vef
o
rm
i
s
obt
ai
ne
d
i
n
bet
w
ee
n
0.
1
8
sec
t
o
0
.
2
2
s
ec i
s
s
h
o
w
n i
n
Fi
g
.
7
.
b
fo
r cl
ear
ob
ser
v
at
i
o
n.
Fr
om
t
h
e Fi
g .
7
.
b
an
d
Fi
g
5, i
t
i
s
o
b
s
erv
e
d th
at t
h
e inpu
t v
a
riatio
n in
so
lar irrad
i
atio
n
is re
flected in t
h
e
output
of s
o
lar
PV cell.
Fig .
7
.a
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6
F
i
g
.7
.b
Th
e trigg
e
r pulses are driv
ing
th
e M
O
SFET.
Wh
e
n
p
o
w
er M
O
S
F
ET i
s
swi
t
c
he
d O
N
, t
h
e c
u
rre
nt
will flo
w
throu
g
h
th
e indu
ctan
ce. Hen
ce i
n
du
ctor L stores en
erg
y
du
ri
n
g
th
e T
on
pe
ri
od
.
When t
h
e po
we
r
MOSFET is switch
e
d
OFF, th
e in
du
ctor
current tends to decrease a
nd
as
a resu
lt, th
e p
o
l
arity o
f
the e
m
f
induced in L i
s
reversed. Thus the
inducta
n
ce ene
r
gy dis
c
harges in the
lo
ad
. Th
e ou
tpu
t
v
o
ltag
e
waveform
acros
s l
o
a
d
i
s
s
h
o
w
n i
n
Fi
g
.
8
.
a
an
d
8.
b.
The
foc
u
se
d
wave
f
o
rm
i
s
obt
ai
ne
d i
n
bet
w
een
0
.
1
8
sec t
o
0.
2
2
sec i
s
sho
w
n i
n
Fi
g .
8
.
b
fo
r cl
ear o
b
ser
v
at
i
o
n. T
h
e out
p
u
t
cu
rre
nt
wave
f
o
rm
across l
o
a
d
i
s
sho
w
n i
n
Fi
g .
9
.a and
9.
b. T
h
e f
o
c
u
s
e
d wa
ve
fo
rm
i
s
obt
ai
ne
d i
n
bet
w
ee
n 0
.
1
8
sec t
o
0.
2
2
s
ec i
s
sho
w
n i
n
Fi
g
.9
.b
fo
r
cl
ear
obs
er
vat
i
o
n
.
Fig .
8
.a
F
i
g
.8
.b
Fig .
9
.a
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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APE
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7
9
2
Fuzzy
Lo
gi
c C
ont
r
o
l
l
e
r B
a
se
d
Si
n
g
l
e
B
u
ck
Bo
ost
C
o
nvert
e
r f
o
r
S
o
l
a
r
PV
C
e
l
l
(
K
. Mani
ckava
sa
g
a
m)
7
F
i
g
.9
.b
To
an
alyze the p
e
r
f
o
r
m
a
n
ce of
sing
le
b
u
c
k
b
o
o
s
t con
v
e
r
t
er
, t
h
e step
p
u
l
se is g
i
v
e
n as an
input
t
h
r
o
u
g
h
t
h
e su
m
m
a
t
i
on bl
oc
k
t
o
t
h
e FLC
as sho
w
n i
n
si
m
u
l
i
nk m
odel
i
n
Fi
g .4
. Fr
om
Fi
g .8 a
n
d Fi
g
.9, i
t
i
s
obs
er
ved
t
h
at
u
p
t
o
0
.
2
sec t
h
e
co
nve
rt
er i
s
i
n
b
oost
m
ode an
d a
f
t
e
r
0.
2 sec
,
i
t
i
s
buc
k m
ode
o
f
ope
rat
i
o
n
.
7.
CO
NCL
USI
O
N
Thi
s
p
a
pe
r p
r
e
s
ent
e
d a
n
i
d
ea
of
sol
a
r
PV
s
y
st
em
cont
rol
l
ed by
FLC
wi
t
h
si
n
g
l
e
i
n
put
buc
k
b
oost
con
v
e
r
t
e
r.
The
sim
u
l
a
t
i
on m
odel
o
f
t
h
e
pr
o
p
o
se
d sy
st
em
i
s
devel
ope
d
an
d
t
h
e res
u
l
t
s
obt
a
i
ned
u
n
d
e
r
di
f
f
e
rent
co
nd
itio
ns are
d
i
scu
s
sed
and
p
r
esen
ted
i
n
this p
a
p
e
r. Th
e
variatio
n
in
so
lar irrad
i
atio
n
is
co
m
p
en
sated
by FLC
an
d
si
n
g
l
e bu
ck
bo
ost co
nv
erter an
d
th
e
o
u
t
p
u
t
vo
ltag
e
remain
s sa
m
e
irresp
ectiv
e of so
lar irrad
i
atio
n. Th
e
resu
lts prov
es th
at th
e v
a
lid
atio
n
an
d
real
ti
me feasib
ili
ty o
f
th
e p
r
opo
sed
n
e
w m
o
d
e
l. For th
e research
p
u
rp
o
s
e on
ly sin
g
l
e PV
cell is con
s
id
ered
in th
is stud
y.
There is a po
ssi
b
ility to
co
n
t
ro
l t
h
e en
tire so
lar
p
o
wer
p
l
an
t
u
s
ing
so
l
a
r PV cells
with
th
e sam
e
m
e
t
h
od
.
REFERE
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[1]
Rong-Jong Wai
and Wen-Hung
Wang. “H
igh-Performance Stand
-
Alone Phot
ov
oltaic Gen
e
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EE
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trial Electronics
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H. Leaes Hey
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ent
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e Multi windin
g
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g
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e
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.
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araf.
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.
[15]
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S
SN
:
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92
IJA
P
E Vol
.
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,
No
. 1, A
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14
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8
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of
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[17]
Tzu-Ping Wu and Shy
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-Ming Ch
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onstructing Membership functions and fuzzy
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IEEE Transa
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[18]
A. Bakhti and L. Benbaouch
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Co- Design of
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4592, 2006
.
BI
O
G
R
A
P
HY
OF
A
U
T
HO
R
K.Manickavasag
am
received th
e P
h
D from
M
a
durai Kam
a
raj Uni
v
ers
i
t
y
, M
.
E.
Degree
from Thiagarajar Co
lleg
e
of en
gineer
ing,
Madurai, Tamilnadu
,
India.Curr
ently he is wor
k
ing in Gopalan
College
of
Engineer
ing
and
M
a
nagem
e
nt,
Bangalor
e
, Ka
rnatak
a, Ind
i
a.
His
res
each
inter
e
s
t
s
include
s
Power generation and contro
l and
art
i
fi
cia
l
intel
ligen
ce
a
pplic
ations
in
power
S
y
stem
s. He
is
a m
e
m
b
er of
In
stitute
of
engine
ers (India)
and
l
i
fe
m
e
m
b
er of
Indian
S
o
ciet
y of Tech
nica
l
Edu
c
a
tion.
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