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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
The Institute of Electrical and Electronics Engineers
2014
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| Subjects: | |
| 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 |
| Summary: | 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. |
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