Paper
29 March 2010 Design and analysis of supporting structure with smart struts for active vibration isolation
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Abstract
This research investigates a supporting structure with smart struts under a vibratory load. In the case of most rotorcraft, structure-borne noise and vibration transmitted from the gearbox contains multiple spectral elements and higher frequencies, which include gear mesh frequencies and their side bands. In order to manage this issue, significant research have been devoted to active smart struts which have tunable stiffness such that a higher level of attenuation is possible. However, present techniques on active control are restricted mostly to the control of single or multiple sinusoids and thus these are not applicable to manage modulated and multi-spectral signals. Therefore, enhanced control algorithms are required in order to achieve simultaneous attenuation of gear mesh frequencies and their side bands. Proposed algorithms employing two nonlinear methods and one model-based technique are examined in this study. Their performance is verified by comparing with conventional algorithms. Moreover, these algorithms are implemented to exhibit whether they are feasible to narrowband or broadband control through experiments with a single smart strut. Novel methodologies are expected to be applied to several active vibration and noise control practices such as vehicles and other engineering structures.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Byeongil Kim, Gregory N. Washington, and Rajendra Singh "Design and analysis of supporting structure with smart struts for active vibration isolation", Proc. SPIE 7645, Industrial and Commercial Applications of Smart Structures Technologies 2010, 76450R (29 March 2010); https://doi.org/10.1117/12.847832
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Model-based design

Control systems

Detection and tracking algorithms

Digital filtering

Electronic filtering

Nonlinear control

Systems modeling

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