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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2013
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Online Access: | http://eprints.utm.my/id/eprint/33827/1/HazriqIzzuanBinJaafarMFKE2013.pdf http://eprints.utm.my/id/eprint/33827/ 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 |
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my.utm.338272017-07-13T00:59:11Z http://eprints.utm.my/id/eprint/33827/ PSO-Tuned PID controller of a gantry crane system 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/33827/1/HazriqIzzuanBinJaafarMFKE2013.pdf Jaafar, Hazriq Izzuan (2013) PSO-Tuned PID controller of a gantry crane system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Civil Engineering. 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 |
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Unspecified Jaafar, Hazriq Izzuan PSO-Tuned PID controller of a gantry crane system |
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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 |
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 |
publishDate |
2013 |
url |
http://eprints.utm.my/id/eprint/33827/1/HazriqIzzuanBinJaafarMFKE2013.pdf http://eprints.utm.my/id/eprint/33827/ 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 |
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1643649442568470528 |
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13.244368 |