Anti - swing control strategy for automatic 3 dof crane system using FLC

The 3 Degree-of-Freedom (DOF) crane represents one of the most widely deployed real-world platforms in the world today. It uses levers and pulleys for gripping, lifting and moving loads horizontally, as well as lowering and releasing the gripper to the original position. Hence the system produ...

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Main Author:	Ruslee, Ruslinda
Format:	Thesis
Language:	English English English
Published:	2008
Subjects:	TJ Mechanical engineering and machinery TJ1350-1418 Hoisting and conveying machinery
Online Access:	http://eprints.uthm.edu.my/7441/1/24p%20RUSLINDA%20RUSLEE.pdf http://eprints.uthm.edu.my/7441/2/RUSLINDA%20RUSLEE%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/7441/3/RUSLINDA%20RUSLEE%20WATERMARK.pdf
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id	my-uthm-ep.7441
record_format	uketd_dc
spelling	my-uthm-ep.74412022-07-24T03:46:42Z Anti - swing control strategy for automatic 3 dof crane system using FLC 2008-11 Ruslee, Ruslinda TJ Mechanical engineering and machinery TJ1350-1418 Hoisting and conveying machinery The 3 Degree-of-Freedom (DOF) crane represents one of the most widely deployed real-world platforms in the world today. It uses levers and pulleys for gripping, lifting and moving loads horizontally, as well as lowering and releasing the gripper to the original position. Hence the system produces swing angle which need to be controlled so that the payload could be transferred efficiently. The existing 3 DOF systems used conventional Linear Quadratic Regulator (LQR) controller to control the position and swing angle. This project report proposed the usage of Fuzzy Logic Controller (FLC) in place ofLQR controller. FLC has a simpler and practical design approached. It avoids laborious mathematical formulation and computation thus reducing operating time. The FLC performance for position control and anti-swing control are compared with LQR controller using MA TLAB simulation. The simulation results showed, under laboratory limitation, that FLC performed better compared to the conventional LQR controller. 2008-11 Thesis http://eprints.uthm.edu.my/7441/ http://eprints.uthm.edu.my/7441/1/24p%20RUSLINDA%20RUSLEE.pdf text en public http://eprints.uthm.edu.my/7441/2/RUSLINDA%20RUSLEE%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/7441/3/RUSLINDA%20RUSLEE%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TJ Mechanical engineering and machinery TJ1350-1418 Hoisting and conveying machinery
spellingShingle	TJ Mechanical engineering and machinery TJ1350-1418 Hoisting and conveying machinery Ruslee, Ruslinda Anti - swing control strategy for automatic 3 dof crane system using FLC
description	The 3 Degree-of-Freedom (DOF) crane represents one of the most widely deployed real-world platforms in the world today. It uses levers and pulleys for gripping, lifting and moving loads horizontally, as well as lowering and releasing the gripper to the original position. Hence the system produces swing angle which need to be controlled so that the payload could be transferred efficiently. The existing 3 DOF systems used conventional Linear Quadratic Regulator (LQR) controller to control the position and swing angle. This project report proposed the usage of Fuzzy Logic Controller (FLC) in place ofLQR controller. FLC has a simpler and practical design approached. It avoids laborious mathematical formulation and computation thus reducing operating time. The FLC performance for position control and anti-swing control are compared with LQR controller using MA TLAB simulation. The simulation results showed, under laboratory limitation, that FLC performed better compared to the conventional LQR controller.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Ruslee, Ruslinda
author_facet	Ruslee, Ruslinda
author_sort	Ruslee, Ruslinda
title	Anti - swing control strategy for automatic 3 dof crane system using FLC
title_short	Anti - swing control strategy for automatic 3 dof crane system using FLC
title_full	Anti - swing control strategy for automatic 3 dof crane system using FLC
title_fullStr	Anti - swing control strategy for automatic 3 dof crane system using FLC
title_full_unstemmed	Anti - swing control strategy for automatic 3 dof crane system using FLC
title_sort	anti - swing control strategy for automatic 3 dof crane system using flc
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2008
url	http://eprints.uthm.edu.my/7441/1/24p%20RUSLINDA%20RUSLEE.pdf http://eprints.uthm.edu.my/7441/2/RUSLINDA%20RUSLEE%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/7441/3/RUSLINDA%20RUSLEE%20WATERMARK.pdf
_version_	1747831151407398912

Anti - swing control strategy for automatic 3 dof crane system using FLC

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