International Journal of Engineering & Technology,
Год журнала:
2023,
Номер
12(2), С. 82 - 87
Опубликована: Ноя. 30, 2023
This
paper
investigates
the
automation
of
an
African
wooden
pestle.
device
is
used
in
kitchen
to
cook
traditional
meals.
Because
pounding
food
painful
for
human
arm
and
blenders
cause
a
lack
consistency
final
product,
we
study
this
by
proposing
two
solutions.
The
first
solution
closed-loop
electro-hydraulic
linear
actuation.
second
electro-pneumatic
These
actuators
are
chosen
because
they
generate
translational
force.
A
particular
reference
signal
proposed
mimic
process.
numerical
simulations
executed
Matlab/
Simulink/
Simscape
environment
reveal
that
hydraulic
actuation
provides
best
results,
particularly
products
with
medium-high
mechanical
resistance.
Future
works
will
present
results
obtained
experimental
prototypes.
Results in Control and Optimization,
Год журнала:
2024,
Номер
15, С. 100434 - 100434
Опубликована: Май 17, 2024
Pneumatic
servo
systems
face
challenges
such
as
friction,
compressibility,
and
nonlinear
dynamics,
necessitating
advanced
control
techniques.
Research
suggests
model-based,
model-free,
hybrid,
optimization-based
methods
have
their
strengths.
Therefore,
this
study
presents
an
optimal
strategy
using
Adaptive
Domain
Prescribed
Performance
Control
(AD-PPC)
cascaded
with
PID
optimized
the
Evolutionary
Mating
Algorithm
(EMA)
for
a
pneumatic
system
(PSS).
The
goal
is
to
achieve
faster
transient
stable
rod-piston
positioning
minimal
friction
through
hysteresis
phenomenon
of
targeted
proportional
valve-controlled
double-acting
cylinder
(PPVDC)
representing
PSS.
novel
EMA
optimizes
controller
based
on
tracking
error
its
objective
function.
Simulation
studies
verify
proposed
AD-PPC-PID
PPVDC
model
plant,
iteratively
by
EMA.
analytical
compares
setup's
optimization
same
alternative
methods.
testing
employs
step
multi-step
signals
PPVDC's
position
input.
Results
show
that
EMA-tuned
outperforms
other
optimizers.
For
both
input
trajectory
tests,
shows
response
times,
average
improvements
30%
in
settling
times
70%
performance
metrics
compared
optimizers,
making
it
robust
applications
like
positioning.
Sensors,
Год журнала:
2023,
Номер
23(24), С. 9755 - 9755
Опубликована: Дек. 11, 2023
In
order
to
reduce
the
effect
of
nonlinear
friction
and
time-varying
factors
on
servo
system
a
computer
numerical
control
(CNC)
machine
tool
improve
its
motion
accuracy,
this
paper
uses
an
adaptive
sliding
mode
(ASMC)
method
based
model
reference
(MRAC).
The
adopts
ASMC
in
outer
loop
obtains
optimal
parameters
by
making
(SMC)
law
continuous
adaptively
estimating
parameters.
At
same
time,
MRAC
is
used
inner
enhance
“invariance”
controlled
object
so
that
switching
gain
SMC
can
satisfy
disturbance
matching
condition
even
under
lesser
conditions.
Simulation
experimental
results
show
compared
with
traditional
SMC,
proposed
effectively
reduces
influence
performance,
reduction
following
error
reaches
71.2%,
which
significantly
improves
accuracy
system.
spectral
analysis
errors
shows
maximum
magnitude
rate
high-frequency
chattering
89.02%,
stability
performance
