Reliability Study of Identification-based Active Control

Articles in Press

Document Type : Research Article

Authors

1 Civil Engineering Department Faculty of Engineering University of Mohaghegh Ardabili Ardabil, Iran

2 Civil Eng. Dept., Faculty of Eng., University of Mohaghegh Ardabili, Ardabil, Iran

10.22060/ceej.2025.23565.8182

Abstract

The reliability of vibration control systems is influenced by uncertainties in dynamic parameters of structure, the characteristics of controller, and external excitations. When designing controllers for structures with unspecified or unavailable specifications, identification methods for estimating dynamic parameters and controller design offer a practical solution. However, controllers based on identification methods are subject to two main sources of error: modeling inaccuracies and identification errors. By comparing the performance of controllers designed using identification methods with those based on assumed models, it is possible to evaluate the impact of identification accuracy on control effectiveness. This approach minimizes the negative effects of uncertainties in structural parameters while reducing the costs associated with intelligentization. In this study, uncertainties considered in structural parameters and external excitations. Initially, a primary control system was designed, and the structure was identified using the stochastic subspace identification based on recorded responses. Subsequently, a secondary controller was designed based on identification. The failure function was defined as maximum difference in displacement response of the upper story of structure between two controllers. Using this metric, the reliability of control system was estimated. The results showed that the identification-based controller achieved a success rate of 99.75% compared to original controller. However, the statistical distributions of the performance indexes for the identification-based controller exhibited a lower mean and higher standard deviation than those of assumed-model-based controller. This improvement is likely influenced by the lower accuracy and higher estimated damping ratios of the identified structures, which contribute to increased reliability of identification-based controller.

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Amirkabir Journal of Civil Engineering

Articles in Press, Accepted Manuscript
Available Online from 03 July 2025

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