TELKOMNIKA Telecommunication, Computing, Electronics and Control
Controller design for gantry crane system using modified sine cosine optimization algorithm
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Controller design for gantry crane system using modified sine cosine optimization algorithm
Controller design for gantry crane system using modified sine cosine optimization algorithm
Subject
Gantry crane system
Modified sine cosine
optimization algorithm
PIDC controller
Standard sine cosine
optimization algorithm
Test functions
Modified sine cosine
optimization algorithm
PIDC controller
Standard sine cosine
optimization algorithm
Test functions
Description
objective of this research paper is to design a control system to optimize
the operating works of the gantry crane system. The dynamic model of the
gantry crane system is derived in terms of trolley position and payload
oscillation, which is highly nonlinear. The crane system should have the
capability to transfer the material to destination end with desired speed along
with reducing the load oscillation, obtain expected trolley position and
preserving the safety. Proposed controlling method is based on the
proportional-integral-derivative (PID) controller with a series differential
compensator to control the swinging of the payload and the system trolley
movement in order to perform the optimum utilization of the gantry crane.
Standard sine cosine optimization algorithm is one of the most-recent
optimization techniques based on a stochastic algorithm was presented to tune
the PID controller with a series differential compensator. Furthermore, the
considered optimization algorithm is modified in order to overcome the
inherent drawbacks and solve complex benchmark test functions and to find
the optimal design's parameters of the proposed controller. The simulation
results show that the modified sine cosine optimization algorithm has better
global search performance and exhibits good computational robustness based
on test functions. Moreover, the results of testing the gantry crane model reveal
that the proposed controller with standard and modified algorithms is effective,
feasible and robust in achieving the desired requirements.
the operating works of the gantry crane system. The dynamic model of the
gantry crane system is derived in terms of trolley position and payload
oscillation, which is highly nonlinear. The crane system should have the
capability to transfer the material to destination end with desired speed along
with reducing the load oscillation, obtain expected trolley position and
preserving the safety. Proposed controlling method is based on the
proportional-integral-derivative (PID) controller with a series differential
compensator to control the swinging of the payload and the system trolley
movement in order to perform the optimum utilization of the gantry crane.
Standard sine cosine optimization algorithm is one of the most-recent
optimization techniques based on a stochastic algorithm was presented to tune
the PID controller with a series differential compensator. Furthermore, the
considered optimization algorithm is modified in order to overcome the
inherent drawbacks and solve complex benchmark test functions and to find
the optimal design's parameters of the proposed controller. The simulation
results show that the modified sine cosine optimization algorithm has better
global search performance and exhibits good computational robustness based
on test functions. Moreover, the results of testing the gantry crane model reveal
that the proposed controller with standard and modified algorithms is effective,
feasible and robust in achieving the desired requirements.
Creator
Nizar Hadi Abbas, Ahmed Abduljabbar Mahmood
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Aug 29, 2020
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Nizar Hadi Abbas, Ahmed Abduljabbar Mahmood, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Controller design for gantry crane system using modified sine cosine optimization algorithm,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/3637.
Controller design for gantry crane system using modified sine cosine optimization algorithm,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/3637.