Advances in computer and electrical engineering book series,
Год журнала:
2024,
Номер
unknown, С. 105 - 174
Опубликована: Дек. 6, 2024
Bio-inspired
optimization
algorithms
use
natural
processes
and
biological
phenomena
as
a
basis
for
solving
difficult
issues.
This
article
discusses
state-of-the-art
techniques,
applications,
implementations
of
eleven
well-known
bio-inspired
algorithms:
Particle
Swarm
Optimization
(PSO),
Ant
Colony
(ACO),
Artificial
Bee
Algorithm
(ABC),
Grey
Wolf
Optimizer
(GWO),
Firefly
(FA),
Shuffled
Frog
Learning
(SFLA),
Elephant
Herd
(EHO),
Lion
(LOA),
Genetic
(GA),
Flower
Pollination
(FPA)
Bat
(BAT).
Accordingly,
each
algorithm
is
considered
in
terms
the
principles
from
which
it
modelled,
key
mechanisms
operation,
mathematical
treatment.
The
current
also
gives
an
account
recent
improvements
modifications
these
algorithms,
made
attempt
to
enhance
their
performance,
speed
convergence,
robustness
along
with
various
real-world
applications.
Frontiers in Energy Research,
Год журнала:
2024,
Номер
12
Опубликована: Июль 30, 2024
Hybrid
Renewable
Energy
Systems
(HRES)
have
recently
been
proposed
as
a
way
to
improve
dependability
and
reduce
losses
in
grid-connected
load
systems.
This
research
study
suggests
novel
hybrid
optimization
technique
that
regulates
UPQC
order
address
the
Power
Quality
(PQ)
problems
HRES
system.
The
system
serves
primary
link
between
battery
energy
storage
systems
(BESS),
wind
turbine
(WT),
solar
photovoltaic
(PV)
components
of
major
objective
is
PQ
issues
make
up
for
requirement
inside
addition
an
Optimized
Fractional
Order
Proportional
Integral
Derivative
(O-FOPID)
controller
improves
efficiency
UPQC.
Crow-Tunicate
Swarm
Optimization
Algorithm
(CT-SOA),
enhanced
variant
traditional
Tunicate
(TSA)
Crow
Search
(CSO),
used
optimize
control
parameters
FOPID
controller.
Utilizing
MATLAB/Simulink
platform,
method
put
into
practice,
system’s
performance
assessed
sag,
swell,
Total
Harmonic
Distortion
(THD).
THD
values
PI,
FOPID,
CSA
techniques,
respectively,
are
5.9038%,
4.9592%,
3.7027%,
under
sag
condition.
validates
superiority
approach
over
existing
approaches.
IET Power Electronics,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 17, 2024
Abstract
The
transportation
sector's
shift
from
internal
combustion
engines
to
electric
vehicles
(EVs)
has
made
enough
charging
facilities
necessary.
converter's
architecture
undergone
several
changes
provide
the
best
possible
for
vehicles.
For
EV
applications,
both
isolated
and
non‐isolated
converters
are
employed.
significant
strain
on
switches
losses
in
various
converter
topologies
among
main
problems.
To
minimize
these
issues,
current‐fed
DC–DC
is
proposed
with
fewer
switching
devices.
design
validated
application
MATLAB/Simulink
tool.
Moreover,
Coati
optimized
fractional
order
proportional
integral
derivative
controller
proposed,
which
provides
optimum
signals
based
voltage
input.
Furthermore,
responses
realized
buck
boost
modes
of
operations.
It
verified
that
zero
current
achieved
under
mode.
results
analysis
demonstrates
a
higher
efficiency
99.7%
99.02%
mode,
respectively.
Engineering Research Express,
Год журнала:
2024,
Номер
6(3), С. 035354 - 035354
Опубликована: Авг. 28, 2024
Abstract
The
inverted
cart-pendulum
system
(ICPS)
consists
in
having
a
pendulum
mounted
on
sliding
cart,
with
the
pivot
point
fixed.
This
real
time
experiment
indeed
looks
like
rocket
and
its
functionality
is
akin
to
rocket.
These
are
launchers
missile
guidance
control
as
well
construction
anti-seismic
measures
also.
aim
these
systems
maintain
vertically
stable.
causal
but
unstable
and,
therefore,
has
no
minimum
phase.
Therefore,
right
half
plane
pole
zero
close
each
other.
stability
of
can
be
considered
problematic
at
some
points.
Unfortunately,
linear
time-
invariant
(LTI)
classical
controllers
incapable
offering
suffient
loop
robustness
for
such
systems.
paper
aims
project
two-loop
fractional
order
controller
(2-LFOC)
design
stabilize
higher-order
nonlinear
(ICPS).
modeling,
linearization,
ICPS
demonstrated
this
work.
target
adjusted
so
that
stabilizes
upright
state
when
cart
reaches
required
point.
To
fulfill
objective,
FOPID-FOPI
proposed,
Levenberg
Marquardt
algorithm
(LMA)
utilized
tune
controllers.
A
novel
integral
time-associated
absolute-error
(ITAE)
based
fitness
formula
considering
settling
rise
used
fit
parameters
2-LFOC.
performance
comparison
PID
terms
different
domain
rise_time
(
T
R
),
peak_time
P
settling_time
S
maximum
overshoot
OS
M
undershoot
US
)
steady-state
error
E
SS
investigated.
Stability
analysis
using
Riemann
surface
observation
compensated
proposed
presented
robust
behavior
verified
by
application
disturbances
Reimann
observation.
Advances in computer and electrical engineering book series,
Год журнала:
2024,
Номер
unknown, С. 105 - 174
Опубликована: Дек. 6, 2024
Bio-inspired
optimization
algorithms
use
natural
processes
and
biological
phenomena
as
a
basis
for
solving
difficult
issues.
This
article
discusses
state-of-the-art
techniques,
applications,
implementations
of
eleven
well-known
bio-inspired
algorithms:
Particle
Swarm
Optimization
(PSO),
Ant
Colony
(ACO),
Artificial
Bee
Algorithm
(ABC),
Grey
Wolf
Optimizer
(GWO),
Firefly
(FA),
Shuffled
Frog
Learning
(SFLA),
Elephant
Herd
(EHO),
Lion
(LOA),
Genetic
(GA),
Flower
Pollination
(FPA)
Bat
(BAT).
Accordingly,
each
algorithm
is
considered
in
terms
the
principles
from
which
it
modelled,
key
mechanisms
operation,
mathematical
treatment.
The
current
also
gives
an
account
recent
improvements
modifications
these
algorithms,
made
attempt
to
enhance
their
performance,
speed
convergence,
robustness
along
with
various
real-world
applications.
