Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm

Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm

The development of combination of proportional-integral-derivative and proportional-derivative (PID-PD) controller for overhead crane is presented. Due to the pendulum-like settings, the swinging of load has caused many difficulties while operating the overhead crane. Swinging of the load causes unn...

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Main Authors: Nur Iffah, Mohamed Azmi, Nafrizuan, Mat Yahya, Ho, Jun Fu, Wan Azhar, Wan Yusoff
Format: Conference or Workshop Item
Language:English
Published: EDP Sciences 2019
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/23763/
http://umpir.ump.edu.my/id/eprint/23763/
http://umpir.ump.edu.my/id/eprint/23763/1/EAAIC%282018%29_Optimization%20PID-PD%20PSO.pdf
id ump-23763
recordtype eprints
spelling ump-237632019-04-24T07:59:57Z http://umpir.ump.edu.my/id/eprint/23763/ Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm Nur Iffah, Mohamed Azmi Nafrizuan, Mat Yahya Ho, Jun Fu Wan Azhar, Wan Yusoff TJ Mechanical engineering and machinery The development of combination of proportional-integral-derivative and proportional-derivative (PID-PD) controller for overhead crane is presented. Due to the pendulum-like settings, the swinging of load has caused many difficulties while operating the overhead crane. Swinging of the load causes unnecessary tension to the cable and structure of the overhead crane, which will compromise the safety of operator and other workers. Overhead cranes should have the ability to move the load to desired point as fast as possible while minimizing the load swing and maintaining the accuracy. Proportional-integral-derivative (PID) controller is used for overhead crane positioning and proportional-derivative (PD) controller for load oscillation. New time-domain performance criterion function is used in particle swarm optimization (PSO) algorithm for the tuning of the PID-PD controller rather than the general performance criteria using error of the system. This performance criterion function monitors the performance in terms of rise time, overshoot, settling time and steady state error of the overhead crane system. The performance of the optimised PID-PD controller is verified with simulation in MATLAB. The PSO optimized PID-PD controllers with new performance criterion are shown effective in improving the step response of the overhead crane position as well as controlled the load oscillation. EDP Sciences 2019-12-04 Conference or Workshop Item PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/23763/1/EAAIC%282018%29_Optimization%20PID-PD%20PSO.pdf Nur Iffah, Mohamed Azmi and Nafrizuan, Mat Yahya and Ho, Jun Fu and Wan Azhar, Wan Yusoff (2019) Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm. In: MATEC Web of Conferences: Engineering Application of Artificial Intelligence Conference (EAAIC 2018), 3-5 December 2018 , Kota Kinabalu, Sabah, Malaysia. pp. 1-8., 255 (04001). ISSN 2261-236X https://doi.org/10.1051/matecconf/201925504001
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Nur Iffah, Mohamed Azmi
Nafrizuan, Mat Yahya
Ho, Jun Fu
Wan Azhar, Wan Yusoff
Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm
description The development of combination of proportional-integral-derivative and proportional-derivative (PID-PD) controller for overhead crane is presented. Due to the pendulum-like settings, the swinging of load has caused many difficulties while operating the overhead crane. Swinging of the load causes unnecessary tension to the cable and structure of the overhead crane, which will compromise the safety of operator and other workers. Overhead cranes should have the ability to move the load to desired point as fast as possible while minimizing the load swing and maintaining the accuracy. Proportional-integral-derivative (PID) controller is used for overhead crane positioning and proportional-derivative (PD) controller for load oscillation. New time-domain performance criterion function is used in particle swarm optimization (PSO) algorithm for the tuning of the PID-PD controller rather than the general performance criteria using error of the system. This performance criterion function monitors the performance in terms of rise time, overshoot, settling time and steady state error of the overhead crane system. The performance of the optimised PID-PD controller is verified with simulation in MATLAB. The PSO optimized PID-PD controllers with new performance criterion are shown effective in improving the step response of the overhead crane position as well as controlled the load oscillation.
format Conference or Workshop Item
author Nur Iffah, Mohamed Azmi
Nafrizuan, Mat Yahya
Ho, Jun Fu
Wan Azhar, Wan Yusoff
author_facet Nur Iffah, Mohamed Azmi
Nafrizuan, Mat Yahya
Ho, Jun Fu
Wan Azhar, Wan Yusoff
author_sort Nur Iffah, Mohamed Azmi
title Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm
title_short Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm
title_full Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm
title_fullStr Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm
title_full_unstemmed Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm
title_sort optimization of the pid-pd parameters of the overhead crane control system by using pso algorithm
publisher EDP Sciences
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/23763/
http://umpir.ump.edu.my/id/eprint/23763/
http://umpir.ump.edu.my/id/eprint/23763/1/EAAIC%282018%29_Optimization%20PID-PD%20PSO.pdf
first_indexed 2023-09-18T22:35:44Z
last_indexed 2023-09-18T22:35:44Z
_version_ 1777416582617628672

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