Optimal Nonlinear PID TSK3DCMAC Controller Based on Balancing Composite Motion Optimization for Ballbot with External Forces
ISA Transactions,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Study on PID gain parameter optimization for a quadcopter under static wind turbulence using bio-inspired algorithms
Deleted Journal,
Год журнала:
2025,
Номер
2(1)
Опубликована: Фев. 17, 2025
Язык: Английский
Cognitive AI and implicit pseudo-spline wavelets for enhanced seismic prediction
International Journal of Cognitive Computing in Engineering,
Год журнала:
2025,
Номер
6, С. 401 - 411
Опубликована: Фев. 18, 2025
Язык: Английский
Normalized SPSA for Hammerstein Model Identification of Twin Rotor and Electro-Mechanical Positioning Systems
International Journal of Cognitive Computing in Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Research on Steering Path Tracking Performance of Articulated Quad‐Tracked Vehicle Based on Fuzzy PID Control
Journal of Field Robotics,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 18, 2025
ABSTRACT
The
articulated
quad‐track
vehicles
exhibit
excellent
mobility
and
obstacle‐crossing
capabilities
in
outdoor
environments,
making
them
widely
applicable
agriculture
military
fields.
Their
steering
control
is
a
complex
issue
influenced
by
numerous
factors.
To
reduce
the
computational
complexity
of
controller,
achieve
rapid
system
response,
simultaneously
improve
stability
precision
during
process,
an
optimal
matching
analysis
performed
between
inner
outer
track
speed
ratios
deflection
angles
at
front
rear
articulation
points
vehicle.
By
utilizing
fuzzy
proportional–integral–derivative
visual
navigation,
path‐tracking
experimental
platform
for
vehicle
designed.
Through
combination
virtual
prototype
simulations
physical
experiments,
distance
deviation
heading
angle
actual
driving
path
prototypes
preset
are
analyzed.
designed
path–tracking
can
adjust
speeds
left
right
tracks
point
based
on
path,
enabling
to
path.
Under
stable
conditions,
within
0.1
m,
6°,
demonstrating
performance.
Язык: Английский
Integrated irrigation of water and fertilizer with superior self-correcting fuzzy PID control system
PLoS ONE,
Год журнала:
2025,
Номер
20(5), С. e0324448 - e0324448
Опубликована: Май 22, 2025
To
address
the
fixed-parameter
limitations
of
traditional
PID
control
(e.g.,
excessive
overshoot,
prolonged
settling
time,
poor
adaptability
to
nonlinearities)
and
insufficient
real-time
adjustment
capability
conventional
fuzzy
control,
which
relies
on
empirically
predefined
rule
bases,
this
study
proposes
a
self-correcting
strategy
for
agricultural
water-fertilizer
integrated
systems.
Traditional
due
its
static
parameters,
suffers
from
reduced
stability
error
accumulation
under
dynamic
variations
irrigation
flow
fluctuations,
environmental
disturbances)
or
nonlinear
interactions
coupling
effects
fertilizer
concentration
pH).
While
incorporates
reasoning,
offline-designed
bases
membership
functions
lack
online
adaptive
parameter
correction,
leading
degraded
precision
in
complex
operating
conditions.
tackle
challenges
posed
by
uncertain
variables
time-varying
soil
permeability)
parameters
resistant
precise
mathematical
modeling,
research
integrates
logic
with
an
mechanism,
constructs
model
system,
designs
correction
rules,
validates
through
simulations
using
Matlab/Simulink
semi-physical
PC
platform.
The
results
demonstrate
that
significantly
optimizes
key
performance
metrics:
overshoot
(reduced
21.3%),
time
(shortened
34.7%),
steady-rate
(decreased
18.9%),
outperforming
both
methods
pH
regulation.
Its
self-adaptation
effectively
balances
response
steady-state
performance,
resolving
issues
such
as
oscillation
lagging
regulation
dynamics.
In
practical
applications,
system
achieved
average
plant
height
growth
rate
15.86%-21.73%
30.41%
yield
improvement
compared
group,
validating
enhanced
synergistic
water
enabled
variable
universe
approach.
This
provides
robust
solution
theoretical
innovation
value
managing
systems
agriculture.
Язык: Английский
An economic room-level thermal management of air-cooled Cloud Data Centers based on human brain Emotional Intelligence
Building and Environment,
Год журнала:
2025,
Номер
unknown, С. 113170 - 113170
Опубликована: Май 1, 2025
Язык: Английский
Research on Collaborative Optimization Strategy of Railway Signal Nonlinear Control System Based on BBO Algorithm and Multi-objective Optimization
International Journal of Cognitive Computing in Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 1, 2025
Язык: Английский
Research on Optimization of Target Positioning Error Based on Unmanned Aerial Vehicle Platform
Applied Sciences,
Год журнала:
2024,
Номер
14(24), С. 11935 - 11935
Опубликована: Дек. 20, 2024
Achieving
precise
target
localization
for
UAVs
is
a
complex
problem
that
often
discussed.
In
order
to
achieve
spatial
of
targets
by
and
solve
the
problems
premature
convergence
easy
fall
into
local
optimum
in
original
dung
beetle
algorithm,
an
error
handling
method
based
on
coordinate
transformation
airborne
measurement
system
optimization
with
crisscross
3
Sigma
Rule
(CCDBO)
proposed.
Firstly,
total
standard
deviation
calculated
integrating
carrier
position,
attitude
angle,
pod
azimuth,
pitch
given
alignment
pod’s
orientation.
Subsequently,
Taylor
series
expansion
adopted
linearize
approximated
process
simplify
propagation
model.
Finally,
further
improve
positioning
accuracy,
position
correction
strategy
improved
algorithm
introduced.
The
simulation
flight
experiment
results
show
this
can
significantly
reduce
accuracy
20.42%
average
compared
which
provides
strong
support
high-precision
observation
identification
environments.
Язык: Английский