Automation in Construction, Journal Year: 2025, Volume and Issue: 171, P. 106010 - 106010
Published: Jan. 31, 2025
Language: Английский
ISA Transactions, Journal Year: 2022, Volume and Issue: 129, P. 472 - 484
Published: Jan. 10, 2022
Language: Английский
Citations
122
Journal of Field Robotics, Journal Year: 2023, Volume and Issue: 40(4), P. 934 - 954
Published: Jan. 20, 2023
Abstract The application of robotic technologies in building construction leads to great convenience and productivity improvement, robots (CRs) bring enormous opportunities for the way we conduct design construction. To get a better understanding trends track CRs on‐site conditions, this paper conducts systematic review control models status monitoring CRs, which are two key aspects that determine accuracy efficiency. Control flexibility primary needs applied different scenes, so methods based on driving vitally important. Status contains knowledge fault detection, intelligence maintenance, fault‐tolerant control, multiple objectives need be met optimized whole drive chain. Moreover, state‐of‐the‐art is comprehensively summarized, new insights also provided carry promising researches.
Language: Английский
Citations
45
International Journal of Robotics and Control Systems, Journal Year: 2022, Volume and Issue: 2(2), P. 435 - 447
Published: July 6, 2022
The use of DC motors is now common because its advantages and has become an important necessity in helping human activities. Generally, motor control designed with PID control. main problem that often discussed parameter tuning, namely determining the value Kp, Ki, Kd parameters order to obtain optimal system performance. In this study, one method for tuning on a will be used, Particle Swarm Optimization (PSO) method. Parameter optimization using PSO stable results compared other methods. controller MATLAB Simulink obtained where Kp = 8.9099, K 2.1469, 0.31952 rise time 0.0740, settling 0.1361 overshoot 0. Then hardware testing by entering Arduino IDE software produce speed response 1.4551, Ki= 1.3079, 0.80271 4.3296, 7.3333 1.
Language: Английский
Citations
53
International Journal of Robotics and Control Systems, Journal Year: 2023, Volume and Issue: 3(2), P. 233 - 244
Published: April 7, 2023
Industries use numerous drives and actuators, including DC motors. Due to the wide-ranged adjustable speed, motor is widely used in many industries. However, prone external disturbance parameter changes, causing its speed be unstable. Thus, a requires an appropriate controller design obtain fast stable with small steady-state error. In this study, was designed based on PID control method, gains tuned by trial-and-error MATLAB Tuner identification system. The proposed implemented using PLC OMRON CP1E NA20DRA hardware implementation. Each tuning method repeated five times so that system performances could compared improved. Based implementation results, trial-error gave acceptable results but had errors. On other hand, of provided responses no error still oscillations high overshoot during transition. Therefore, acquired from must finely get better responses.
Language: Английский
Citations
25
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: April 10, 2024
Abstract
To
overcome
the
disadvantages
of
premature
convergence
and
easy
trapping
into
local
optimum
solutions,
this
paper
proposes
an
improved
particle
swarm
optimization
algorithm
(named
NDWPSO
algorithm)
based
on
multiple
hybrid
strategies.
Firstly,
elite
opposition-based
learning
method
is
utilized
to
initialize
position
matrix.
Secondly,
dynamic
inertial
weight
parameters
are
given
improve
global
search
speed
in
early
iterative
phase.
Thirdly,
a
new
optimal
jump-out
strategy
proposed
"premature"
problem.
Finally,
applies
spiral
shrinkage
from
whale
(WOA)
Differential
Evolution
(DE)
mutation
later
iteration
accelerate
speed.
The
further
compared
with
other
8
well-known
nature-inspired
algorithms
(3
PSO
variants
5
intelligent
algorithms)
23
benchmark
test
functions
three
practical
engineering
problems.
Simulation
results
prove
that
obtains
better
for
all
49
sets
data
than
3
variants.
Compared
algorithms,
69.2%,
84.6%,
84.6%
best
function
(
$${f}_{1}-{f}_{13}$$
Language: Английский
Citations
14
ISA Transactions, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
1
Journal of Manufacturing Processes, Journal Year: 2022, Volume and Issue: 77, P. 282 - 300
Published: March 25, 2022
Language: Английский
Citations
33
Energies, Journal Year: 2023, Volume and Issue: 16(2), P. 926 - 926
Published: Jan. 13, 2023
In this article, a novel methodology is proposed by utilizing technique which, in light of the change African vulture optimization known as Sine Cosine, adopted an algorithm (SCaAVOA)-based tilt integral derivative (TID) regulator for load frequency control (LFC) five-area power system with multi-type generations. At first, execution Cosine-adopted calculation tried contrasting it standard AVOA while considering different benchmark functions. To demonstrate superiority SCaAVOA algorithm, results are contrasted using approaches. next stage, method used thermal and likewise applied to five-area, ten-unit comprising conventional sources well some renewable energy sources. The performance analysis planned completed various boundaries loading conditions. It seen that said more viable comparison other controllers.
Language: Английский
Citations
20
IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 61091 - 61102
Published: Jan. 1, 2023
When traditional proportional integral and differential controllers are applied to speed control in permanent magnet synchronous motors(PMSM), their coefficients basically determined based on experience, which inevitably leads unsatisfactory results when using this parameter the stability of motors. Therefore, paper proposes an improved quantum genetic algorithm states as basic unit. Utilizing properties for global optimization optimize control, improving rotation angle state particles through idea velocity changes particle swarm optimization(PSO), introducing adaptive weight changes, Hadamard gates replace mutation strategies, incorporating disaster mechanisms. In addition, uses four test functions find minimum value, thereby verifying that our has better performance iteration compared other algorithms, providing initial basis next step application PID optimization. Prove method can solve problem algorithms falling into local optima due improper selection, crossover, methods, cannot effectively motor speed. Finally, Matlab2018a simulation compare with show values achieve oscillation, overshoot, faster target
Language: Английский
Citations
20
Agronomy, Journal Year: 2023, Volume and Issue: 13(5), P. 1423 - 1423
Published: May 21, 2023
China’s field crops such as cotton, wheat, and tomato have been produced on a large scale, but their cultivation process still adopts more traditional manual fertilization methods, which makes the use of chemical fertilizers in China high causes waste fertilizer resources ecological environmental damage. To address above problems, hybrid optimization genetic algorithms particle swarm (GA–PSO) is used to optimize initial weights backpropagation (BP) neural network, optimization-based BP network PID controller designed realize accurate control flow integrated water precision system for crops. At same time, STM32 microcontroller-based application was developed performance verified experimentally. The results show that has an average maximum overshoot 5.1% adjustment time 68.99 s, better than based (BP–PID) controllers; among them, algorithm by algorithm(GA–PSO–BP–PID) best-integrated when rate 0.6m3/h.
Language: Английский
Citations
19