Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
In several engineering applications vibration isolation must be carefully considered, as the vibration propagating into or out of the system can significantly degrade the performance. A passive isolation limits the magnification at resonance, at the same time it reduces the high frequency attenuation where as Active Vibration Isolation (AVI) resolves this conflict. Stewart Platform (SP) has been investigated by many researchers, as an AVI system which can isolate vibrations in all 6 degree of freedom. This study focuses on design parameter optimization of SP for AVI. The SP is modeled in MATLAB and design parameter optimization is carried out using Neural Network. The optimal configuration is effective in providing low amplitude at corner frequency and good attenuation at high frequency of >40 dB. Finally, the model developed in MATLAB is validated using Tao configuration.
How to cite this article:
Rahmath Ulla Baig and S. Pugazhenthi. Neural Network Optimization of Design Parameters of Stewart Platform for Effective Active Vibration Isolation.
DOI: https://doi.org/10.36478/jeasci.2014.78.84
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2014.78.84