Combining Pole Placement and Online Empirical Mode Decomposition Methods to Adaptive Active Control of Structural Vibration

[+] Author and Article Information
S. H. Momeni Massouleh

Azadi Ave Tehran, 1136511155 Islamic Republic Of Iran s.h.momeny@gmail.com

Seyed Ali Hosseini Kordkheili

Azadi ave. Tehran Iran Azadi ave. Tehran Iran Tehran, Select State/Province 1136511155 Islamic Republic Of Iran ali.hosseini@sharif.edu

Hossein Mohammad Navazi

Azadi Ave. Tehran, Tehran 11155-8639 Islamic Republic Of Iran Navazi@sharif.edu

Hamid Bahai

Kingston Road Uxbridge, Middlesex UB8 3PH United Kingdom hamid.bahai@brunel.ac.uk

1Corresponding author.

Contributed by the Technical Committee on Vibration and Sound of ASME for publication in the Journal of Vibration and Acoustics. Manuscript received May 11, 2018; final manuscript received January 31, 2019; published online xx xx, xxxx. Assoc. Editor: Mohammed Daqaq.

ASME doi:10.1115/1.4042931 History: Received May 11, 2018; Accepted January 31, 2019


Using a combination of the pole placement and online Empirical Mode Decomposition (EMD) methods, a new algorithm is proposed for adaptive active control of structural vibration. EMD is a time-frequency domain analysis method which can be used for non-stationary and nonlinear problems. Combining EMD method and Hilbert transform, which is called Hilbert-Huang transform, achieves a method that can be implemented to extract instantaneous properties of signals such as structural response dominant instantaneous frequencies. In the proposed algorithm, these estimated instantaneous properties are utilized to improve the pole placement method as an adaptive active control technique. The required active control gains are obtained using a genetic algorithm scheme and optimal gains are calculated corresponding to preselected excitation frequencies. An algorithm is also introduced to choose excitation frequencies based on online EMD method resolution. In order to investigate the efficiency of the proposed method, some case studies which include a discrete model as well as continuous samples of beam and plate structures are carried out and the results of the proposed method are compared with the preset (non-adaptive) optimal gains conditions.

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