IEEE Access,
Journal Year:
2021,
Volume and Issue:
9, P. 8808 - 8819
Published: Jan. 1, 2021
Proportional
Integral
Derivative
(PID)
controller
is
one
of
the
most
classical
controllers,
which
has
a
good
performance
in
industrial
applications.
The
traditional
PID
parameter
tuning
relies
on
experience,
however,
intelligent
algorithm
used
to
optimize
controller,
makes
it
more
convenient.
Fish
Migration
Optimization
(FMO)
an
excellent
that
mimics
swim
and
migration
behaviors
fish
biology.
Especially,
formulas
for
optimization
were
obtained
from
biologists.
However,
effect
FMO
control
not
prominent,
since
easy
skip
optimal
solution
with
integer-order
velocity.
In
order
improve
FMO,
Fractional-Order
(FOFMO)
proposed
based
fractional
calculus
(FC)
theory.
FOFMO,
velocity
position
are
updated
fractional-order
forms.
addition,
fishes
should
back
conducive
survival.
Therefore,
new
strategy
global
best
generate
positions
offsprings
proposed.
experiments
performed
benchmark
functions
controller.
results
show
FOFMO
superior
original
tuned
by
robust
better
than
other
contrast
algorithms.
Heliyon,
Journal Year:
2022,
Volume and Issue:
8(5), P. e09399 - e09399
Published: May 1, 2022
The
simplicity,
transparency,
reliability,
high
efficiency
and
robust
nature
of
PID
controllers
are
some
the
reasons
for
their
popularity
acceptance
control
in
process
industries
around
world
today.
Tuning
parameters
has
been
a
field
active
research
still
is.
primary
objectives
to
achieve
minimal
overshoot
steady
state
response
lesser
settling
time.
With
exception
two
popular
conventional
tuning
strategies
(Ziegler
Nichols
closed
loop
oscillation
Cohen-Coon's
reaction
curve)
several
other
methods
have
employed
tuning.
This
work
accords
thorough
review
state-of-the-art
classical
controller
using
metaheuristic
algorithms.
Methods
appraised
categorized
into
optimization
purposes.
Details
algorithms,
application,
equations
implementation
flowcharts/algorithms
presented.
Some
open
problems
future
also
major
goal
this
is
proffer
comprehensive
reference
source
researchers
scholars
working
on
controllers.
IEEE Access,
Journal Year:
2019,
Volume and Issue:
7, P. 39935 - 39947
Published: Jan. 1, 2019
This
paper
proposes
a
novel
tuning
design
of
proportional
integral
derivative
(PID)
controller
via
an
improved
kidney-inspired
algorithm
(IKA)
with
new
objective
function.
The
main
the
proposed
approach
is
to
optimize
transient
response
AVR
system
by
minimizing
maximum
overshoot,
settling
time,
rise
time
and
peak
values
terminal
voltage,
eliminating
steady
state
error.
After
obtaining
optimal
three
gains
PID
(K
P
,
K
xmlns:xlink="http://www.w3.org/1999/xlink">I
xmlns:xlink="http://www.w3.org/1999/xlink">D
)
approach,
analysis
was
performed
compared
some
current
heuristic
algorithms-based
approaches
in
literature
show
superiority
optimized
controller.
In
order
evaluate
stability
automatic
voltage
regulator
(AVR)
tuned
IKA
method,
pole/zero
map
Bode
are
performed.
Finally,
robustness
has
been
carried
out
variations
parameters
system.
numerical
simulation
results
demonstrated
that
better
control
performances
other
existing
approaches.
essence
presented
study
points
may
successfully
be
applied
for
Energy Sources Part A Recovery Utilization and Environmental Effects,
Journal Year:
2025,
Volume and Issue:
47(1), P. 16 - 49
Published: Feb. 7, 2025
The
growing
demand
for
electricity
has
intensified
the
shift
toward
renewable
energy
sources
like
wind
and
solar,
which
are
environmentally
friendly
due
to
their
zero
carbon
emissions.
However,
intermittent
nature
poses
significant
challenges
grid
security,
reliability,
stability.
An
effort
is
made
in
this
paper
present
a
comprehensive
review
of
critical
issue
concurrent
voltage
frequency
regulation
renewable-integrated
power
systems.
It
provides
an
overview
these
focuses
on
combined
control
strategies
across
different
system
configurations
involving
storage
devices.
also
details
modeling
configuration
essential
components
within
loops.
Additionally,
case
studies
presented
evaluate
performance
limitations
recent
controller
structures.
A
literature
survey
latest
thorough
bibliography
topic.
Furthermore,
challenges,
opportunities,
future
research
directions
collective
discussed
detail.
Ain Shams Engineering Journal,
Journal Year:
2020,
Volume and Issue:
12(1), P. 641 - 657
Published: Aug. 5, 2020
This
paper
presents
a
hybrid
metaheuristic
method
for
optimal
tuning
of
four
different
types
proportional-integral-derivative
(PID)
controller
an
automatic
voltage
regulator
(AVR)
system.
The
is
based
on
the
manta
ray
foraging
optimization
algorithm
which
merged
with
simulated
annealing
algorithm.
Additionally,
novel
objective
functions
controller's
parameters
are
proposed.
performance
obtained
ideal
PID,
real
fractional-order
and
PID
second-order
derivative
controllers
verified
by
carrying
out
comparison
tuned
algorithms
presented
in
literature.
Results
simulations
validate
that
each
type
proposed
SA–MRFO
outperforms
other
algorithms.
Further,
comparative
analysis
carried
to
determine
most
suitable
application
AVR
systems.
main
advantage
significant
increase
convergence
speed.
IEEE Access,
Journal Year:
2020,
Volume and Issue:
8, P. 89457 - 89467
Published: Jan. 1, 2020
In
this
study,
an
optimal
Tree-Seed
Algorithm
(TSA)
algorithm-based
Proportional-Integral-Derivative
(PID)
controller
is
proposed
for
automatic
voltage
regulator
(AVR)
system
terminal
tracking
problem.
PID
gains
Kp,
Ki,
and
Kd
are
optimized
with
the
TSA
algorithm
based
on
different
objective
functions.
The
TSA-based
controller's
performance
compared
numerous
controllers,
which
were
developed
using
meta-hermetic
optimization
algorithms
in
literature.
Several
analysis
methods
including
root
locus,
bode
analysis,
robustness,
disturbance
rejection
studied
reported
works
It
shown
that
there
still
a
research
gap
to
improve
of
AVR
due
its
importance
electrical
systems.
According
obtained
comparison
results,
it
has
been
revealed
improves
properties
under
load
change
thus
can
be
effectively
used
synchronous
generator
stability.
Mathematics,
Journal Year:
2020,
Volume and Issue:
8(7), P. 1182 - 1182
Published: July 18, 2020
This
paper
presents
a
novel
method
for
optimal
tunning
of
Fractional
Order
Proportional-Integral-Derivative
(FOPID)
controller
an
Automatic
Voltage
Regulator
(AVR)
system.
The
presented
is
based
on
the
Yellow
Saddle
Goatfish
Algorithm
(YSGA),
which
improved
with
Chaotic
Logistic
Maps.
Additionally,
objective
function
optimization
FOPID
parameters
proposed.
performance
obtained
verified
by
comparison
various
controllers
tuned
other
metaheuristic
algorithms.
A
comparative
analysis
performed
in
terms
step
response,
frequency
root
locus,
robustness
test,
and
disturbance
rejection
ability.
Results
simulations
undoubtedly
show
that
proposed
(C-YSGA)
outperforms
algorithms,
all
previously
mentioned
tests.
Journal of King Saud University - Engineering Sciences,
Journal Year:
2021,
Volume and Issue:
36(1), P. 32 - 44
Published: Aug. 5, 2021
Considering
the
superior
control
characteristics
and
increased
tuning
flexibility
of
Fractional-Order
Proportional
Integral
Derivative
(FOPID)
controller
than
conventional
PID
regulator,
this
article
attempts
to
explore
its
application
in
optimal
design
Automatic
Voltage
Regulator
(AVR).
Since
FOPID
has
two
additional
parameters
(µ
ʎ)
mentioned
counterpart,
process
is
comparatively
difficult.
To
overcome
stated
issue,
a
self-regulated
off-line
method
based
on
Gradient-Based
Optimization
(GBO)
algorithm
adopted
current
study.
The
gains
are
obtained
by
minimizing
selected
Fitness
Function
(FF)
that
chosen
as
Time
Absolute
Error
(ITAE)
simulations
performed
using
MATLAB/SIMULINK
2018a
test
compare
performance
proposed
GBO-based
AVR
dynamic
response,
stability,
robustness
evaluation
metrics
with
some
recently
published
metaheuristic
optimization
designs
literature.
results
show
provides
most
response
enhanced
stability
among
considered
designs,
thus
proves
efficacy
essence.