Advances in computer and electrical engineering book series,
Journal Year:
2023,
Volume and Issue:
unknown, P. 30 - 55
Published: Feb. 10, 2023
A
battery
energy
storage
system
(BESS)
is
generally
used
for
storing
the
excess
power
produced
from
solar
PV
panel
and
supplying
stored
electrical
whenever
it
needed.
The
accurate
estimation
of
state
charge
(SOC)
considered
to
be
very
essential
proper
management
reliable
operation
battery.
SOC
monitoring
BESS
based
on
probabilistic
neural
network
(PNN)
approach
proposed.
output
voltage
enhanced
made
distortion
free
by
single
ended
primary
inductance
converter
(SEPIC)
with
assistance
PNN
controller.
thus
obtained
many
DC
applications.
performance
proposed
model
evaluated
using
MATLAB
simulation.
AIMS Mathematics,
Journal Year:
2024,
Volume and Issue:
9(5), P. 13410 - 13438
Published: Jan. 1, 2024
<abstract>
<p>In
this
study,
we
present
a
comprehensive
framework
for
enhancing
the
temperature
control
of
electric
furnaces,
integrating
three
novel
components:
proportional-integral-derivative
controller
with
filter
(PID-F),
customized
objective
function,
and
modified
eel
foraging
optimization
(mEEFO)
algorithm.
The
PID-F
controller,
introduced
first
time
in
literature
leverages
coefficient
to
effectively
mitigate
kick
effect,
improving
transient
frequency
responses.
To
further
optimize
employed
mEEFO,
recently
proposed
metaheuristic
inspired
by
social
predation
behaviors
eels,
tailored
modifications
furnace
control.
study
also
introduces
new
based
on
modification
integral
absolute
error
(IAE)
performance
index.
was
evaluated
through
extensive
comparisons
established
algorithms,
including
statistical
analysis,
Wilcoxon
signed-rank
test,
domain
analyses.
Comparative
assessments
reported
methods,
such
as
genetic
algorithms
Ziegler–Nichols-based
PID
controllers,
validated
efficacy
approach,
highlighting
its
transformative
impact
regulation.
non-ideal
conditions
measurement
noise,
external
disturbance,
saturation
at
output
were
order
demonstrate
superior
approach
from
wider
perspective.
Furthermore,
robustness
against
variations
system
parameters
demonstrated.</p>
</abstract>
International Journal of Robotics and Control Systems,
Journal Year:
2023,
Volume and Issue:
3(3), P. 599 - 608
Published: Aug. 20, 2023
The
management
of
chemical
process
liquid
levels
poses
a
significant
challenge
in
industrial
control,
affecting
the
efficiency
and
stability
various
sectors
such
as
food
processing,
nuclear
power
generation,
pharmaceutical
industries.
While
Proportional-Integral-Derivative
(PID)
control
is
widely-used
technique
for
maintaining
tanks,
its
efficacy
optimizing
complex
nonlinear
systems
has
limitations.
To
overcome
this,
researchers
are
exploring
potential
metaheuristic
algorithms,
which
offer
robust
optimization
capabilities.
This
study
introduces
novel
approach
to
level
using
Prairie
Dog
Optimization
(PDO)
algorithm,
algorithm
inspired
by
prairie
dog
behavior.
primary
objective
design
implement
PID-controlled
three-tank
system
that
leverages
PDO
regulate
effectively,
ensuring
enhanced
performance.
performance
proposed
evaluated
ZLG
criterion,
time
domain
metric-based
function
quantifies
system's
desired
levels.
Several
analysis
techniques
employed
understand
behavior
system.
Convergence
curve
assesses
PDO-controlled
convergence
characteristics,
providing
insights
into
stability.
Statistical
determines
algorithm's
reliability
robustness
across
multiple
runs.
Stability
from
both
frequency
response
perspectives
further
validates
A
comprehensive
comparison
with
state-of-the-art
including
AOA-HHO,
CMA-ES,
PSO,
ALC-PSODE,
conducted
benchmark
PDO.
results
highlight
PDO's
superior
convergence,
stability,
capabilities,
establishing
real-world
applications.
research
findings
underscore
PID
applications
systems.
By
outperforming
demonstrates
value
scenarios,
contributing
advancement
metaheuristic-based
optimization.
opens
avenues
engineers
practitioners
harness
advanced
solutions,
thereby
enhancing
processes
automation.
IEEE Journal of Emerging and Selected Topics in Power Electronics,
Journal Year:
2024,
Volume and Issue:
12(2), P. 1641 - 1653
Published: Jan. 4, 2024
This
work
proposes
a
controller
for
three-phase
cascade
H-bridge
seven-level
converter
used
in
shunt
active
power
filter
(SAPF)
application
which
includes
repetitive
scheme
the
compensation
of
harmonics
6h
±
1.
A
model
description
terms
more
appropriate
variables
facilitates
control
design
process
as
it
can
be
split
into
three
independent
loops,
namely
an
inner
current
tracking
loop,
and
outer
voltage
regulation
balance
loops.
As
first
approach,
loop
bank
resonator
harmonic
distortion
compensator
(HDC),
is
later
replaced
by
with
aim
to
reduce
computational
effort.
However,
required
delay
implement
lines
turns
out
function
fundamental
frequency,
real
applications
may
exhibit
gradual
variations.
entails
implementation
issue
referred
variable
fractional
(VFD),
compensated
incorporating
Farrow
structure.
The
performance
proposed
has
been
tested
SAPF
based
on
prototype.
Sensors,
Journal Year:
2023,
Volume and Issue:
23(15), P. 6857 - 6857
Published: Aug. 1, 2023
The
proportion
of
distributed
generation
systems
in
power
grids
is
increasing,
leading
to
the
gradual
emergence
weak
grid
characteristics.
Moreover,
using
voltage-sourced
grid-connected
inverters
can
enhance
stability
a
grid.
However,
due
presence
background
harmonics
grids,
voltage
cause
significant
distortions
current,
which
adversely
affects
quality
current.
This
paper
begins
by
briefly
introducing
principle
virtual
synchronous
generator
(VSG).
Then,
output
current
source
inverter
analyzed
elucidate
mechanism
harmonic
generation.
Considering
distortion
caused
voltage,
suppression
strategy
based
on
an
adaptive
resistor
proposed.
proposed
employs
signal
separation
module
multiple
second-order
generalized
integrators
connected
through
cross-feedback
network.
effectively
separates
fundamental
and
currents
from
extracts
amplitudes
coordinate
transformation,
adaptively
adjusts
resistance
magnitude
negative
feedback
control
content
(the
ratio
amplitude
amplitude).
These
measures
are
used
Additionally,
system
root
locus
open-loop
transfer
function.
Finally,
effectiveness
method
validated
combination
MATLAB/Simulink
simulations
experimental
results.
Energies,
Journal Year:
2024,
Volume and Issue:
17(20), P. 5026 - 5026
Published: Oct. 10, 2024
Iterative
learning
based
digital
peak
current
mode
control
(PCMC)
is
proposed
in
this
paper.
The
method
provides
excellent
reference
tracking
against
variations
input
voltage,
load,
and
circuit
parameters.
Compared
to
other
methods,
the
PCMC
has
a
high
dynamic
response,
simple
structure
low
computational
burden.
It
suitable
for
power
factor
correction
(PFC)
converters
operating
at
frequency.
Thanks
iterative
(ILC),
value
successfully
compensated
disturbances.
new
applied
an
interleaved
totem
pole
PFC
(ITPPFC)
circuit.
ITPPFC
prototype
implemented
with
250
W
output
100
kHz
switching
tested
under
various
load
conditions
parametric
Theoretical
experimental
results
are
found
be
consistent.