Comparison of Optimal and Intelligent Sway Control for a Lab-Scale Rotary Crane System
This paper presents investigations of sway feedback control approaches for a rotary crane system with disturbance effect in the dynamic system. Linear Quadratic Regulator (LQR) controller and Proportional-Derivative (PD)-type Fuzzy Logic controller are the techniques used in this investigation to ac...
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my.ump.umpir.37902018-02-02T07:51:26Z http://umpir.ump.edu.my/id/eprint/3790/ Comparison of Optimal and Intelligent Sway Control for a Lab-Scale Rotary Crane System Mohd Ashraf, Ahmad Mohd Anwar, Zawawi TJ Mechanical engineering and machinery This paper presents investigations of sway feedback control approaches for a rotary crane system with disturbance effect in the dynamic system. Linear Quadratic Regulator (LQR) controller and Proportional-Derivative (PD)-type Fuzzy Logic controller are the techniques used in this investigation to actively control the sway of rotary crane system. A lab-scale rotary crane system is considered and the dynamic model of the system is derived using the Euler-Lagrange formulation. A complete analysis of simulation results for each technique is presented in time domain and frequency domain respectively. Performances of the controller are examined in terms of sway suppression and disturbances cancellation. Finally, a comparative assessment of the impact of each controller on the system performance is presented and discussed. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3790/1/ICCEA2010.pdf Mohd Ashraf, Ahmad and Mohd Anwar, Zawawi (2010) Comparison of Optimal and Intelligent Sway Control for a Lab-Scale Rotary Crane System. In: The 2nd International Conference on Computer Engineering and Applications (ICCEA 2010), 19-21 Mac 2010 , Bali Island, Indonesia. pp. 229-234.. http://dx.doi.org/10.1109/ICCEA.2010.52 |
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TJ Mechanical engineering and machinery Mohd Ashraf, Ahmad Mohd Anwar, Zawawi Comparison of Optimal and Intelligent Sway Control for a Lab-Scale Rotary Crane System |
description |
This paper presents investigations of sway feedback control approaches for a rotary crane system with disturbance effect in the dynamic system. Linear Quadratic Regulator (LQR) controller and Proportional-Derivative (PD)-type Fuzzy Logic controller are the techniques used in this investigation to actively control the sway of rotary crane system. A lab-scale rotary crane system is considered and the dynamic model of the system is derived using the Euler-Lagrange formulation. A complete analysis of simulation results for each technique is presented in time domain and frequency domain respectively. Performances of the controller are examined in terms of sway suppression and disturbances cancellation. Finally, a comparative assessment of the impact of each controller on the system performance is presented and discussed. |
format |
Conference or Workshop Item |
author |
Mohd Ashraf, Ahmad Mohd Anwar, Zawawi |
author_facet |
Mohd Ashraf, Ahmad Mohd Anwar, Zawawi |
author_sort |
Mohd Ashraf, Ahmad |
title |
Comparison of Optimal and Intelligent Sway Control for a Lab-Scale Rotary Crane System |
title_short |
Comparison of Optimal and Intelligent Sway Control for a Lab-Scale Rotary Crane System |
title_full |
Comparison of Optimal and Intelligent Sway Control for a Lab-Scale Rotary Crane System |
title_fullStr |
Comparison of Optimal and Intelligent Sway Control for a Lab-Scale Rotary Crane System |
title_full_unstemmed |
Comparison of Optimal and Intelligent Sway Control for a Lab-Scale Rotary Crane System |
title_sort |
comparison of optimal and intelligent sway control for a lab-scale rotary crane system |
publishDate |
2010 |
url |
http://umpir.ump.edu.my/id/eprint/3790/1/ICCEA2010.pdf http://umpir.ump.edu.my/id/eprint/3790/ http://dx.doi.org/10.1109/ICCEA.2010.52 |
_version_ |
1822916032413564928 |