30 research outputs found
Investigation of Model Reference Parameter Adaptive SRM Drives
Nowadays switched re
luctance motor (SRM) drives
have been widely used in the field of controlled electric motor
drives. The paper proposes a m
odel reference adaptive control
method for SRM drives. The main
goal of the drive control is to
improve dynamical performance by compensating for the motor
nonlinearities. The r
ipple free operation can be realize only w
ith
an current waveform depending on
the angle, speed and torque.
The proposed ripple reduced meth
od changes only the turn-on
and the turn-off angle in functio
n of the speed and current
reference. One of the advantages
of using the ripple 鈥搑educed
method that it does not need the real-time calculation or
measuring the motor torque. So it can be implemented on a
cheap microcontroller. The test of this control method was
performed in an experimental d
rive system. A SRM of 6/8 pole
and 4 kW rated power was used.
Simulation and experimental
results are presented
Adaptive Ripple Reduced Control of SRM Drives
Nowadays
s
witched
reluctance
m
o
to
r
(SRM)
drives
h
ave
been
w
idel
y
used
i
n
t
h
e
fi
el
d
of
c
ont
rol
l
e
d
el
ect
ri
c
m
o
t
o
r
dri
v
es.
The
paper
proposes
a
m
odel
reference
adapt
i
v
e
cont
rol
m
e
t
hod
for
SR
M
dri
v
es.
The
m
a
i
n
goal
of
t
he
d
r
iv
e
co
n
t
ro
l
is
t
o
i
m
prove dy
n
am
i
cal
perform
ance by
com
pensat
i
ng for t
h
e m
o
t
o
r non
lin
earities. Th
e
ripple
free
operation
can
b
e
rea
lize
only
with
a
n
current
w
avef
orm
dependi
ng
on
t
h
e
angl
e,
s
peed
a
nd
t
o
rque.
The
proposed
r
i
ppl
e
reduced
m
et
hod
c
hanges
onl
y
t
h
e
t
u
rn-on
and
t
h
e
t
u
rn-off
angl
e
i
n
f
unct
i
on
of
t
he
s
peed
a
nd
cur
rent
r
eference.
O
ne
of
t
he
a
dvant
ages
o
f
usi
ng
t
h
e
ri
ppl
e
reduced
m
et
hod
t
h
at
i
t
do
es
not
n
eed
t
he
r
eal-
tim
e
calcu
latio
n
o
r
m
easu
r
in
g
th
e
m
o
to
r
to
rq
u
e
.
So
it
can
b
e
im
pl
em
ent
e
d
on
a
cheap
m
i
c
rocont
rol
l
e
r.
T
he
t
est
of
t
hi
s
cont
rol
m
e
t
hod
was
perf
orm
e
d
i
n
a
n
experi
m
e
nt
al
d
ri
ve
s
y
s
t
e
m
.
A
S
R
M
o
f
6/
8
pol
e
and
4
kW
r
at
ed
pow
er
w
as
u
sed.
Si
m
u
l
a
t
i
on and experi
m
e
nt
al
resul
t
s
are present
ed
Investigation of adaptive PDF speed control for motion control
This paper proposes two model reference adaptive PF (PDF) spee
d control methods for
servo drives. Following from the structure (PF-type) of model r
eference parameter adaptive control
was developed to provide constant loop gain in speed control lo
op with changing gain (moment of
inertia and/or torque factor) it makes it easier to reach overs
hootless as well as fast speed changing
compensation caused by jump in load. The algorithm even keeps i
ts stability at fast changing, jump-
like load torque. Model reference signal adaptive control is us
ed to provide constant loop gain in
speed control loop with changing parameters exposed to a signif
icant load. The approaching block
diagram of the adaptive control
can be seen as an extended vers
ion of the PF controller, so one of the
adaptation factors (which is the free parameter of the adaptive
control) is given. Both model
reference adaptive controls dra
wn up can be easily implemented
because the adaptation algorithms
do not need acceleration measuring
(thanks to the first-order m
odel). Simulation and experimental
results demonstrate that the proposed methods are promising too
ls to speed control of electrical
drives
Adaptive PF (PDF) Speed Control for Servo Drives
This paper proposes two model reference adaptive PF (PDF)
speed control methods for servo drives. Following from the
structure (PF鈥恡ype) of model reference parameter adaptive
control was developed to provide constant loop gain in
speed control loop with changing gain (moment of inertia
and/or torque factor) which makes it easier to reach
nonovershooting step response as well as fast speed
changing compensation caused by jump in load. The
algorithm even keeps its stability at fast changing, jump鈥恖ike
load torque. Model reference signal adaptive control is used
to provide constant loop gain in speed control loop with
changing parameters exposed to a significant load. The block
diagram of the adaptive control can be seen as an extended
version of the PF controller, so one of the adaptation factors
(which is the free parameter of the adaptive control) is given.
Both model reference adaptive controls drawn up can be
easily implemented because the adaptation algorithms do
not need acceleration measuring (thanks to the first鈥恛rder
model). Simulation and experimental results demonstrate
that the proposed methods are promising tools for speed
control of electrical drives
Convergence Test of of Model Reference Parameter Adaptive SRM Drives
Nowadays switched reluctance motor (SRM) drives have been widel
y used in the field of controlled
electric motor drives. The paper proposes a model reference par
ameter adaptive control method for SRM
drives. The main goal of the drive control is to improve dynami
cal performance by compensating for the
motor nonlinearities. The adaptation practically works only in
a relatively narrow speed error track
(adaptation range) which is equa
l to approximately 20-100 revol
ution/min absolute value of speed error.
The drawback of this limitation is the relatively short time fo
r the algorithm to operate. But the
convergence of the algorithm is extremely fast which significan
tly reduces the effect of this drawback.
Two more important advantages emerge when adaptation works only
with small speed errors. First of all
the controller at changing drive parameters adapts to parameter
s around the value specified by speed
reference signal which also assists to speed the adaptation. Th
e other significant positive effect is the
disappearing of the problem coming from nonlinear systems that
the response
of the
system can even
differ in its character when the value, amplitude of the refere
nce signal is changed. The convergence test
of this control method was performed in an
experimental drive s
ystem. A SRM of 6/8 pole and 4 kW rated
power was used. Simulation and e
xperimental results are present
ed
Model Reference Adaptive Control of SRM Drives
The
paper
proposes
a
m
odel
reference
adaptive
control
m
e
thod
fo
r
SRM
drives.
T
he
m
ain
goal
of
t
he
drive
control
is
t
o
im
prove
d
y
n
am
ical
p
erform
ance
by
c
om
pensati
ng
for
the
m
o
tor
nonlinearities.
T
he
proposed
r
ipple
reduced
m
ethod
changes
only
the
turn-on
and
the
t
urn-off
angle
in
f
unction
of
t
he
speed
a
nd
current
r
eference.
O
ne
o
ff
the
advantages
of
u
sing
th
is m
ethod that it do
es not need the real-
tim
e calculation or m
easuring the m
o
tor torque. Sim
ulation and
experim
e
ntal results are presented
Adaptive PF Speed Control of SRM Drives
This paper proposes two model reference
adaptive PF speed control m
ethods for SRM drives.
Following from the structure of model reference parameter
adaptive PF control it makes it
easier to reach overshootless
as well as fast speed changing
compensation caused by jump
in load. The approaching block diagram of the model
reference signal adaptive contr
ol can be seen as an extended
version of the PF controller, so one of the adaptation factors
(which is the free parameter of the adaptive control) is
given. Both model reference adaptive controls drawn up can
be easily implemented because the adaptation algorithms do
not need acceleration measuring
MODEL REFERENCE ADAPTIVE CONTROL OF RIPPLE REDUCED SRM DRIVES
The paper proposes a model reference adaptive control method for SRM
drives. The main goal of the
drive control is to improve dynamical performance by compensating for the motor
nonlinearities. The
proposed ripple reduced method changes only the turn-on and the turn-off angle
in function of the
speed and current reference. One of the advantages of using this method is that
it does not need the
real-time calculation or measuring the motor torque. Simulation
and experimental results are
presented