PSO-Tuned PID controller of a gantry crane system

This project presents development of an optimal PID controller for controlling the nonlinear gantry crane system. The tuning method of Particle Swarm Optimization (PSO) with priority based fitness and linear weight summation approaches are implemented for finding optimal PID parameters. The effectiv...

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Main Author: Jaafar, Hazriq Izzuan
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/33827/1/HazriqIzzuanBinJaafarMFKE2013.pdf
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spelling my-utm-ep.338272017-07-13T00:59:11Z PSO-Tuned PID controller of a gantry crane system 2013 Jaafar, Hazriq Izzuan Unspecified This project presents development of an optimal PID controller for controlling the nonlinear gantry crane system. The tuning method of Particle Swarm Optimization (PSO) with priority based fitness and linear weight summation approaches are implemented for finding optimal PID parameters. The effectiveness of both method are observed in order to find the optimal performances of system. The system dynamic model is derived using Lagrange equation. A combination of PID and PD controllers is utilized for positioning and oscillation control of the system. System responses including trolley displacement and payload oscillation are observed and analyzed. Simulation is conducted within Matlab environment to verify the performance of the controller. It is demonstrated that implementation of PSO is effective to move the trolley as fast as possible to the desired position with low payload oscillation. 2013 Thesis http://eprints.utm.my/id/eprint/33827/ http://eprints.utm.my/id/eprint/33827/1/HazriqIzzuanBinJaafarMFKE2013.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:74266?queryType=vitalDismax&query=PSO-Tuned+PID+controller+of+a+gantry+crane+system&public=true masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic Unspecified
spellingShingle Unspecified
Jaafar, Hazriq Izzuan
PSO-Tuned PID controller of a gantry crane system
description This project presents development of an optimal PID controller for controlling the nonlinear gantry crane system. The tuning method of Particle Swarm Optimization (PSO) with priority based fitness and linear weight summation approaches are implemented for finding optimal PID parameters. The effectiveness of both method are observed in order to find the optimal performances of system. The system dynamic model is derived using Lagrange equation. A combination of PID and PD controllers is utilized for positioning and oscillation control of the system. System responses including trolley displacement and payload oscillation are observed and analyzed. Simulation is conducted within Matlab environment to verify the performance of the controller. It is demonstrated that implementation of PSO is effective to move the trolley as fast as possible to the desired position with low payload oscillation.
format Thesis
qualification_level Master's degree
author Jaafar, Hazriq Izzuan
author_facet Jaafar, Hazriq Izzuan
author_sort Jaafar, Hazriq Izzuan
title PSO-Tuned PID controller of a gantry crane system
title_short PSO-Tuned PID controller of a gantry crane system
title_full PSO-Tuned PID controller of a gantry crane system
title_fullStr PSO-Tuned PID controller of a gantry crane system
title_full_unstemmed PSO-Tuned PID controller of a gantry crane system
title_sort pso-tuned pid controller of a gantry crane system
granting_institution Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department Faculty of Civil Engineering
publishDate 2013
url http://eprints.utm.my/id/eprint/33827/1/HazriqIzzuanBinJaafarMFKE2013.pdf
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