A novel online damage detection approach in bilinear chain-like structures

Amini, Fereidoun; Rabiepour, Mohammad

doi:10.1007/s13349-017-0216-9

Cited by 4 publications

(1 citation statement)

References 27 publications

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“…Therefore, The SAC algorithm is significantly effective in reducing structure vibrations. The SAC method is also proposed for estimating structural damage (Amini and Rabiepour, 2017). The integration of SHM and vibration control (Chomette and Mamou-Mani, 2017) has been performed in the time domain (Chen et al, 2010) using semi-active dampers (Chen and Xu, 2008; Xu and Chen, 2008), the MRAC algorithm (Yang et al, 2014), and the convergence of the parameters in LS identification (Pan et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Online parameter estimation and adaptive control with limited information in structures

Amini

Aghabarari

2021

Journal of Vibration and Control

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An online parameter estimation is important along with the adaptive control, that is, a time-dependent plant. This study uses both online identification and the simple adaptive control algorithm with velocity feedback. The recursive least squares method was used to identify the stiffness and damping parameters of the structure’s stories. Identification was carried out online without initial estimation and only by measuring the structural responses. The limited information regarding sensor measurements, parameter convergence, and the effects of the covariance matrix is examined. The integration of the applied online identification, the appropriate reference model selection in simple adaptive control, and adopting the proportional integral filter was used to limit the structural control response error. Some numerical examples are simulated to verify the ability of the proposed approach. Despite the limited information, the results show that the simultaneous use of online identification with the recursive least squares method and simple adaptive control algorithm improved the overall structural performance.

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