Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration

This paper demonstrates optimization of collocated sensor-actuator location and the controller gains of active vibration control system. Ant colony optimization algorithm is employed for this purpose. Instead of using equation-based modeling for the system, the plant is a...

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Main Authors:	Md Nor, Khairul Affendy, Abdul Muthalif, Asan Gani, Wahid, Azni N.
Format:	Conference or Workshop Item
Language:	English
Published:	The Institute of Electrical and Electronics Engineers 2014
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/39121/ http://irep.iium.edu.my/39121/ http://irep.iium.edu.my/39121/ http://irep.iium.edu.my/39121/7/39121.pdf

id	iium-39121
recordtype	eprints
spelling	iium-391212018-06-20T07:37:44Z http://irep.iium.edu.my/39121/ Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration Md Nor, Khairul Affendy Abdul Muthalif, Asan Gani Wahid, Azni N. T Technology (General) This paper demonstrates optimization of collocated sensor-actuator location and the controller gains of active vibration control system. Ant colony optimization algorithm is employed for this purpose. Instead of using equation-based modeling for the system, the plant is a finite element model developed in COMSOL Multiphysics software, which later interfaced with the MATLAB-coded optimization algorithm using the Livelink for MATLAB feature. The benchmark model is a simply supported thin plate excited and attenuated by two piezoelectric patches. The optimization is based on the average energy reduction across a frequency range between 11 Hz to 50 Hz, which covers the first three modes. It is found that the maximum attenuation achieved is 68.31% using optimal values of sensor-actuator location and controller gains. The Institute of Electrical and Electronics Engineers 2014-01-27 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/39121/7/39121.pdf Md Nor, Khairul Affendy and Abdul Muthalif, Asan Gani and Wahid, Azni N. (2014) Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration. In: 2014 Fifth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2014), 27th-29th Jan. 2014, Langkawi, Kedah. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7280940 10.1109/ISMS.2014.71
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Md Nor, Khairul Affendy Abdul Muthalif, Asan Gani Wahid, Azni N. Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration
description	This paper demonstrates optimization of collocated sensor-actuator location and the controller gains of active vibration control system. Ant colony optimization algorithm is employed for this purpose. Instead of using equation-based modeling for the system, the plant is a finite element model developed in COMSOL Multiphysics software, which later interfaced with the MATLAB-coded optimization algorithm using the Livelink for MATLAB feature. The benchmark model is a simply supported thin plate excited and attenuated by two piezoelectric patches. The optimization is based on the average energy reduction across a frequency range between 11 Hz to 50 Hz, which covers the first three modes. It is found that the maximum attenuation achieved is 68.31% using optimal values of sensor-actuator location and controller gains.
format	Conference or Workshop Item
author	Md Nor, Khairul Affendy Abdul Muthalif, Asan Gani Wahid, Azni N.
author_facet	Md Nor, Khairul Affendy Abdul Muthalif, Asan Gani Wahid, Azni N.
author_sort	Md Nor, Khairul Affendy
title	Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration
title_short	Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration
title_full	Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration
title_fullStr	Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration
title_full_unstemmed	Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration
title_sort	optimization in active vibration control: virtual experimentation using comsol multiphysics - matlab integration
publisher	The Institute of Electrical and Electronics Engineers
publishDate	2014
url	http://irep.iium.edu.my/39121/ http://irep.iium.edu.my/39121/ http://irep.iium.edu.my/39121/ http://irep.iium.edu.my/39121/7/39121.pdf
first_indexed	2023-09-18T20:56:12Z
last_indexed	2023-09-18T20:56:12Z
_version_	1777410320132734976

Optimization in active vibration control: virtual experimentation using COMSOL multiphysics - MATLAB integration

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