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: Proceeding Paper
Language:English
Published: The Institute of Electrical and Electronics Engineers 2014
Subjects:
Online Access:http://irep.iium.edu.my/39121/
http://irep.iium.edu.my/39121/7/39121.pdf
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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
building IIUM Repository
collection Online Access
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.
first_indexed 2025-11-14T15:54:09Z
format Proceeding Paper
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institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T15:54:09Z
publishDate 2014
publisher The Institute of Electrical and Electronics Engineers
recordtype eprints
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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 Proceeding Paper 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
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
title 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_short 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
topic T Technology (General)
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