IEEE Transactions on Instrumentation and Measurement,
Год журнала:
2023,
Номер
72, С. 1 - 12
Опубликована: Янв. 1, 2023
Automated
guided
vehicles
(AGVs)
have
become
a
key
part
of
many
industries,
where
they
handle
the
task
managing
material
flows.
As
result,
are
very
important
targets
for
cyberattacks
to
cripple
organizations
by
using
methods,
such
as
false
data
injection
(FDI)
and
denial
service
(DoS)
on
sensors
measurement
data.
This
article
introduces
new
robust
Kalman
filter
(KF)
AGV
state
estimation
Huber
loss
function.
A
statistical
method
known
M-estimation
is
used
solve
regression
issue
robustly
establish
equivalence
between
KF
specific
least
squares
problem.
For
adaptive
unknown
priori
observation
noise
statistics
concurrently
with
system
states,
M-robust
estimators
developed.
The
proposed
tackles
against
different
kinds
cyberattacks,
pulse,
ramp,
DoS
cyberattacks.
position
constant
velocity
tracking
based
employing
without
robustification
methods
compared.
results
confirm
effectiveness
robustness
approach
FDI
due
compared
traditional
filters.
Furthermore,
investigated
practically
Adlink-ROS
AGV.
e-Prime - Advances in Electrical Engineering Electronics and Energy,
Год журнала:
2023,
Номер
6, С. 100325 - 100325
Опубликована: Окт. 16, 2023
Automatic
voltage
regulators
(AVRs)
are
essential
components
in
electrical
systems
to
maintain
stable
output,
ensuring
optimal
performance
and
equipment
protection.
The
effectiveness
of
AVRs
rely
on
key
parameters
such
as
regulation,
response
time,
stability,
efficiency.
Integrating
controllers
with
offers
centralized
monitoring
enhancing
output
This
study
therefore
first
discusses
various
controller
types
which
showcase
distinctive
capabilities
based
their
tuning
strategies
then
introduces
an
intelligent
optimization
approach
using
fractional-order
proportional-integral-derivative
double
derivative
(FOPIDD2)
tailored
for
AVRs.
adopts
the
artificial
rabbits
(ARO)
algorithm,
fortified
adaptive
local
search
(ALS)
mechanism
experience-based
perturbed
learning
(EPL)
strategy.
modified
version
(m-ARO)
enhances
solution
diversity
navigational
efficacy,
resulting
improved
quality.
study's
core
objective
is
demonstrate
superior
m-ARO-based
FOPIDD2
addressing
multifaceted
challenges
AVR
control,
outperforming
conventional
techniques
speed
response,
robustness,
To
validate
method's
a
comparative
analysis
conducted
existing
different
algorithms.
Results
indicate
that
proposed
achieves
metrics,
demonstrating
its
capability.
also
includes
wider
perspective
by
considering
nineteen
controllers,
reported
literature,
comprehensive
comparison.
Notably,
method
exhibits
best
further
affirming
effectiveness.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июль 5, 2024
The
energy
management
(EM)
solution
of
the
multi-microgrids
(MMGs)
is
a
crucial
task
to
provide
more
flexibility,
reliability,
and
economic
benefits.
However,
MMGs
became
complex
strenuous
with
high
penetration
renewable
resources
due
stochastic
nature
these
along
load
fluctuations.
In
this
regard,
paper
aims
solve
EM
problem
optimal
inclusion
photovoltaic
(PV)
systems,
wind
turbines
(WTs),
biomass
systems.
proposed
an
enhanced
Jellyfish
Search
Optimizer
(EJSO)
for
solving
85-bus
MMGS
system
minimize
total
cost,
performance
improvement
concurrently.
algorithm
based
on
Weibull
Flight
Motion
(WFM)
Fitness
Distance
Balance
(FDB)
mechanisms
tackle
stagnation
conventional
JSO
technique.
EJSO
tested
standard
CEC
2019
benchmark
functions
obtained
results
are
compared
optimization
techniques.
As
per
results,
powerful
method
other
like
Sand
Cat
Swarm
Optimization
(SCSO),
Dandelion
(DO),
Grey
Wolf
(GWO),
Whale
Algorithm
(WOA),
(JSO).
reveal
that
by
suggested
can
reduce
cost
44.75%
while
voltage
profile
stability
40.8%
10.56%,
respectively.
Neural Computing and Applications,
Год журнала:
2024,
Номер
36(23), С. 14409 - 14431
Опубликована: Май 7, 2024
Abstract
The
primary
objective
of
a
power
system
is
to
provide
safe
and
reliable
electrical
energy
consumers.
This
achieved
by
maintaining
the
stability
system,
multifaceted
concept
that
can
be
divided
into
three
distinct
classes.
focus
this
study
on
one
these
classes,
voltage
stability.
A
critical
component
in
automatic
regulator
(AVR)
synchronous
generators.
In
paper,
novel
control
method,
sigmoid-based
fractional-order
PID
(SFOPID),
introduced
with
aim
improving
dynamic
response
robustness
AVR
system.
dandelion
optimizer
(DO),
successful
optimization
algorithm,
used
optimize
parameters
proposed
SFOPID
strategy.
process
for
DO-SFOPID
strategy
includes
variety
functions,
including
error-based
metrics
such
as
integral
absolute
error,
squared
time
addition
user-defined
Zwee
Lee
Gaing’s
metric.
effectiveness
technique
has
been
rigorously
investigated
through
series
tests
analyses,
aspects
domain,
robustness,
frequency
evaluation
nonlinearity
effects.
simulation
results
are
compared
between
(FOPID)
(SPID)
techniques,
both
which
have
tuned
using
different
metaheuristic
algorithms
gained
significant
recognition
recent
years.
As
result
comparative
superiority
confirmed
it
shows
an
improved
performance
respect
other
techniques.
Furthermore,
validated
within
experimental
setup
show
highly
terms
robustness.
summary,
provides
comprehensive
evidence
supporting
results.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 6, 2025
The
Snow
Goose
Algorithm
(SGA)
is
a
new
meta-heuristic
algorithm
proposed
in
2024,
which
has
been
proved
to
have
good
optimization
effect,
but
there
are
still
problems
that
easy
fall
into
local
optimal
and
premature
convergence.
In
order
further
improve
the
performance
of
algorithm,
this
paper
proposes
an
improved
(ISGA)
based
on
three
strategies
according
real
migration
habits
snow
geese:
(1)
Lead
goose
rotation
mechanism.
(2)
Honk-guiding
(3)
Outlier
boundary
strategy.
Through
above
strategies,
exploration
development
ability
original
comprehensively
enhanced,
convergence
accuracy
speed
improved.
paper,
two
standard
test
sets
IEEE
CEC2022
CEC2017
used
verify
excellent
algorithm.
practical
application
ISGA
tested
through
8
engineering
problems,
employed
enhance
effect
clustering
results
show
compared
with
comparison
faster
iteration
can
find
better
solutions,
shows
its
great
potential
solving
problems.
