Airimitoaie12d

T. Airimitoaie. Robust Design and Tuning of Active Vibration Control Systems. PhD Thesis Université de Grenoble, June 2012.

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Abstract

In this thesis, solutions for the design of robust Active Vibration Control (AVC) systems are presented. The thesis report is composed of two parts. In the first one, feedforward adaptive methods are developed. They are dedicated to the suppression of large band disturbances and use a measurement, correlated with the disturbance, obtained upstream from the performance variable by the use of a second transducer. The algorithms presented in this thesis are designed to achieve good performances and to maintain system stability in the presence of the internal feedback coupling which appears between the control signal and the image of the disturbance. The main contributions in this part are the relaxation of the Strictly Positive Real (SPR) condition appearing in the stability analysis of the algorithms by use of "Integral + Proportional" adaptation algorithms and the development of feedforward compensators for noise or vibration reduction based on the Youla-Kucera parameterization. The second part of this thesis is concerned with the negative feedback rejection of narrow band disturbances. An indirect adaptation method for the rejection of multiple narrow band disturbances using Band-Stop Filters (BSF) and the Youla-Kucera parameterization is presented. This method uses cascaded Adaptive Notch Filters (ANF) to estimate the frequencies of the disturbances' sinusoids and then, Band-stop Filters are used to shape the output sensitivity function independently, reducing the effect of each narrow band signal in the disturbance. The algorithms are verified and validated on an experimental setup available at the Control Systems Department of GIPSA-Lab, Grenoble, France.

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Tudor Airimitoaie

BibTex Reference

@PhdThesis{Airimitoaie12d,
   Author = {Airimitoaie, T.},
   Title = {Robust Design and Tuning of Active Vibration Control Systems},
   School = {Université de Grenoble},
   Month = {June},
   Year = {2012}
}

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