Control of stewart platform- an adaptive filtering approach
This project involves the study of active vibration control of the Stewart Platform using adaptive filtering approach. The system is first studied and examined. Robust adaptive filtering algorithms for active vibration control are then considered. The feedback filtered-X LMS algorithm is chosen to p...
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sg-ntu-dr.10356-49092023-07-04T16:00:24Z Control of stewart platform- an adaptive filtering approach Muang Aung Khant. Xie, Lihua School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems This project involves the study of active vibration control of the Stewart Platform using adaptive filtering approach. The system is first studied and examined. Robust adaptive filtering algorithms for active vibration control are then considered. The feedback filtered-X LMS algorithm is chosen to provide active, control for the PZT actuators of the platform. Experiments are conducted to verify the controller performance and the results are presented. About 20 dB to 30 dB of attenuation is achieved in real-time experiments for vibration frequency of the range from 60 Hz to 220 Hz. Master of Science (Computer Control and Automation) 2008-09-17T10:01:16Z 2008-09-17T10:01:16Z 2005 2005 Thesis http://hdl.handle.net/10356/4909 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Muang Aung Khant. Control of stewart platform- an adaptive filtering approach |
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This project involves the study of active vibration control of the Stewart Platform using adaptive filtering approach. The system is first studied and examined. Robust adaptive filtering algorithms for active vibration control are then considered. The feedback filtered-X LMS algorithm is chosen to provide active, control for the PZT actuators of the platform. Experiments are conducted to verify the controller performance and the results are presented. About 20 dB to 30 dB of attenuation is achieved in real-time experiments for vibration frequency of the range from 60 Hz to 220 Hz. |
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Xie, Lihua |
author_facet |
Xie, Lihua Muang Aung Khant. |
format |
Theses and Dissertations |
author |
Muang Aung Khant. |
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Muang Aung Khant. |
title |
Control of stewart platform- an adaptive filtering approach |
title_short |
Control of stewart platform- an adaptive filtering approach |
title_full |
Control of stewart platform- an adaptive filtering approach |
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Control of stewart platform- an adaptive filtering approach |
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Control of stewart platform- an adaptive filtering approach |
title_sort |
control of stewart platform- an adaptive filtering approach |
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2008 |
url |
http://hdl.handle.net/10356/4909 |
_version_ |
1772827578504052736 |