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Intelligent PID controller using iterative learning algorithm for active vibration controller of flexible beam

The simulation of proportional-integral derivative (PID) controller was performed within Matlab SIMULINK environment. Intelligent Iterative Learning Algorithm (ILA) was utilized to tune the parameters of PID controllers, Kp, Ki, Kd to control Active Vibration Controller (AVC) of flexible beam struct...

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Main Authors: Fadil, M. A., Jalil, N. A., Mat Darus, I. Z.
Format: Conference or Workshop Item
Published: 2013
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/51125/
http://dx.doi.org/10.1109/ISCI.2013.6612380
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spelling my.utm.511252017-09-13T07:55:45Z http://eprints.utm.my/id/eprint/51125/ Intelligent PID controller using iterative learning algorithm for active vibration controller of flexible beam Fadil, M. A. Jalil, N. A. Mat Darus, I. Z. TJ Mechanical engineering and machinery The simulation of proportional-integral derivative (PID) controller was performed within Matlab SIMULINK environment. Intelligent Iterative Learning Algorithm (ILA) was utilized to tune the parameters of PID controllers, Kp, Ki, Kd to control Active Vibration Controller (AVC) of flexible beam structure. The dynamic characteristics of flexible beam were identified using neural network algorithm. During the investigation the PID-ILA controller showed faster settling time than that of normal PID controller. PID-ILA also gave smaller mean square error of 9.34×10-4mm and compared to 5.9×10-3mm achieved using the normal PID. 2013 Conference or Workshop Item PeerReviewed Fadil, M. A. and Jalil, N. A. and Mat Darus, I. Z. (2013) Intelligent PID controller using iterative learning algorithm for active vibration controller of flexible beam. In: IEEE Symposium on Computers and Informatics, ISCI 2013. http://dx.doi.org/10.1109/ISCI.2013.6612380
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Fadil, M. A.
Jalil, N. A.
Mat Darus, I. Z.
Intelligent PID controller using iterative learning algorithm for active vibration controller of flexible beam
description The simulation of proportional-integral derivative (PID) controller was performed within Matlab SIMULINK environment. Intelligent Iterative Learning Algorithm (ILA) was utilized to tune the parameters of PID controllers, Kp, Ki, Kd to control Active Vibration Controller (AVC) of flexible beam structure. The dynamic characteristics of flexible beam were identified using neural network algorithm. During the investigation the PID-ILA controller showed faster settling time than that of normal PID controller. PID-ILA also gave smaller mean square error of 9.34×10-4mm and compared to 5.9×10-3mm achieved using the normal PID.
format Conference or Workshop Item
author Fadil, M. A.
Jalil, N. A.
Mat Darus, I. Z.
author_facet Fadil, M. A.
Jalil, N. A.
Mat Darus, I. Z.
author_sort Fadil, M. A.
title Intelligent PID controller using iterative learning algorithm for active vibration controller of flexible beam
title_short Intelligent PID controller using iterative learning algorithm for active vibration controller of flexible beam
title_full Intelligent PID controller using iterative learning algorithm for active vibration controller of flexible beam
title_fullStr Intelligent PID controller using iterative learning algorithm for active vibration controller of flexible beam
title_full_unstemmed Intelligent PID controller using iterative learning algorithm for active vibration controller of flexible beam
title_sort intelligent pid controller using iterative learning algorithm for active vibration controller of flexible beam
publishDate 2013
url http://eprints.utm.my/id/eprint/51125/
http://dx.doi.org/10.1109/ISCI.2013.6612380
_version_ 1643652946388320256
score 13.160551

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