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Shock and Vibration
Volume 2017 (2017), Article ID 3502475, 14 pages
https://doi.org/10.1155/2017/3502475
Research Article

Vibration Analysis of a Piecewise-Smooth System with Negative Stiffness under Delayed Feedback Control

1School of Mathematics and Statistics, Xidian University, Xi’an, Shaanxi 710071, China
2School of Mathematics, Changzhi University, Changzhi, Shanxi 046011, China

Correspondence should be addressed to Dongmei Huang

Received 11 April 2017; Accepted 13 July 2017; Published 29 August 2017

Academic Editor: Gabriele Cazzulani

Copyright © 2017 Dongmei Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The principal resonance of a delayed piecewise-smooth (DPWS) system with negative stiffness under narrow-band random excitation is investigated in aspects of multiscale analysis, design methodology of the controller, and response properties. The amplitude-frequency response and steady-state moments together with the corresponding stability conditions of the controlled stochastic system are derived, in which the degradation case is also under consideration. Then, from the perspective of the equivalent damping, the comparisons of the response characteristics of the controlled system to the uncontrolled system, such as the phenomenon of frequency island, are fulfilled. Furthermore, sensitivity of the system response to feedback gain and time delay is studied and interesting dynamic properties are found. Meanwhile, the classification of the steady-state solution is also discussed. To control the maximum amplitude, the feedback parameters are determined by the frequency response together with stability boundaries which must be utilized to exclude the combinations of the unstable parameters. For the case with small noise intensity, mean-square responses present the similar characteristics to what is discussed in the deterministic case.