Incorporating adaptive local search and experience-based perturbed learning into artificial rabbits optimizer for improved DC motor speed regulation
International Journal of Electrical Power & Energy Systems,
Journal Year:
2024,
Volume and Issue:
162, P. 110266 - 110266
Published: Oct. 19, 2024
Language: Английский
Fractional-order PID-based search algorithms: A math-inspired meta-heuristic technique with historical information consideration
Guangyao Chen,
No information about this author
Yangze Liang,
No information about this author
Ziyang Jiang
No information about this author
et al.
Advanced Engineering Informatics,
Journal Year:
2025,
Volume and Issue:
65, P. 103088 - 103088
Published: Feb. 3, 2025
Language: Английский
Modified Fractional‐Order PID Controller Design for the Mixing Tank Process
Parmanand Maurya,
No information about this author
Nilanjan Paul,
No information about this author
Durga Prasad
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et al.
Chemical Engineering & Technology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 5, 2025
Abstract
Controlling
multiple
input–multiple
output
(MIMO)
processes
is
challenging
due
to
loop
interactions.
This
study
explores
a
modified
fractional‐order
PID
(MFOPID)
controller
for
two‐input,
two‐output
mixing
tank
system.
MFOPID
design
involves
individual
controllers
based
on
the
Nelder–Mead
algorithm.
Relative
gain
array
analysis
optimizes
interactions,
complemented
by
simplified
decoupler.
Comparative
evaluation
against
Ziegler–Nichols,
internal
model
control,
and
standard
FOPID
demonstrates
superior
performance
of
offering
smoother
signals
demonstrating
significant
improvement
in
various
indices.
These
findings
underscore
efficacy
enhancing
control
MIMO
systems.
Language: Английский
Enhancing power quality in grid-connected hybrid renewable energy systems using UPQC and optimized O-FOPID
R. Venkatesan,
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C. Kumar,
No information about this author
C. R. Balamurugan
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et al.
Frontiers in Energy Research,
Journal Year:
2024,
Volume and Issue:
12
Published: July 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.
Language: Английский
Guest Editorial for the Special Issue on “Recent Advances in Simulation Methods, Modelling Approaches, and Physical Implementation of Fractional‐Order Devices, Circuits, and Systems”
International Journal of Numerical Modelling Electronic Networks Devices and Fields,
Journal Year:
2024,
Volume and Issue:
37(5)
Published: Sept. 1, 2024
Language: Английский
Employing an optimal control strategy for systems with measurement and actuation faults: a swarm optimization approach
Engineering Optimization,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 37
Published: Oct. 18, 2024
Language: Английский
Optimizing PIλDμ controller parameters using tree seed optimization for enhanced control performance and stability
Achu Govind KR,
No information about this author
Subhasish Mahapatra
No information about this author
Transactions of the Institute of Measurement and Control,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 13, 2024
This
research
article
exploits
the
tree
seed
optimization
algorithm
to
optimize
parameters
of
fractional-order
proportional–integral–derivative
(FOPID)
controller.
The
study
focuses
on
designing
an
FOPID
controller
by
imposing
constraints
both
performance
metrics
and
closed-loop
amplitude
ratio
achieve
enhanced
control
system
performance.
is
inspired
growth
reproductive
behavior
trees
demonstrates
its
efficacy
in
finding
optimal
solutions
within
constrained
search
spaces.
process
involves
formulating
objective
function
subject
ratio,
reflecting
tracking
stability.
Besides,
inverted
decoupling
used
reduce
interaction
between
loops
enable
individual
tuning
each
loop
for
improved
smallest
disc
perturbation
employed
determine
system’s
proposed
approach
implemented
various
industrial
processes
demonstrate
effectiveness
achieving
desirable
efficiently
navigates
parameter
space,
thereby
converging
ideal
configurations
that
meet
specified
constraints.
Comparative
studies
with
other
methods
highlight
robustness
obtained
seed–based
Language: Английский