Research on iterative output feedback decentralized control method based on energy-to-peak approach

• Proposes new decentralized control for high-rise seismic vibration. • Energy-to-peak strategy for effective earthquake response reduction. • Advanced iteration accelerates real-time control computation. • Modal decoupling enhances analysis and control of complex systems. In the field of active control of building structures, a centralized control strategy can achieve superior control effects. However, the disadvantages of centralized control techniques, such as high computational volume and limited reliability, become particularly noticeable as the number of building floors increases. To address these issues, this paper introduces an iterative output feedback decentralized control method based on the energy-to-peak approach. This method decouples the building system into several independent substructures, treating the interactions between these substructures as external disturbances and applying the energy-to-peak control methodology to calculate the controllers for each substructure. Additionally, an advanced numerical iterative solution is presented, which simplifies computations and accelerates processing, thereby enhancing the feasibility of real-time application for this output feedback strategy. The control effects of centralized control, and decentralized control with different subsystems are analyzed using 8-story and 20-story models under seismic effects. The results indicate that the proposed decentralized strategy effectively mitigates the seismic response of the structure. The controlled system achieves absolute acceleration and inter-story drift levels comparable to those of centralized control, ensuring system stability and reliability. Additionally, as the number of subsystems increases, computational efficiency significantly improves. These findings illustrate the feasibility of the proposed method.

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Publication Details

Journal
KSCE Journal of Civil Engineering
Published
2025-03-25
DOI
https://doi.org/10.1016/j.kscej.2025.100240
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on iterative output feedback decentralized control method based on energy-to-peak approach

Liping Tang, Jipeng Zhao, Xiang Ruan, Leiyu Chen et al.
KSCE Journal of Civil Engineering
Adaptive Control of Nonlinear Systems
article

Research on iterative output feedback decentralized control method based on energy-to-peak approach

Liping Tang, Jipeng Zhao, Xiang Ruan, Leiyu Chen, Dawei Man, Qinghu Xu, Jianhao Wei
article en

Abstract

• Proposes new decentralized control for high-rise seismic vibration. • Energy-to-peak strategy for effective earthquake response reduction. • Advanced iteration accelerates real-time control computation. • Modal decoupling enhances analysis and control of complex systems. In the field of active control of building structures, a centralized control strategy can achieve superior control effects. However, the disadvantages of centralized control techniques, such as high computational volume and limited reliability, become particularly noticeable as the number of building floors increases. To address these issues, this paper introduces an iterative output feedback decentralized control method based on the energy-to-peak approach. This method decouples the building system into several independent substructures, treating the interactions between these substructures as external disturbances and applying the energy-to-peak control methodology to calculate the controllers for each substructure. Additionally, an advanced numerical iterative solution is presented, which simplifies computations and accelerates processing, thereby enhancing the feasibility of real-time application for this output feedback strategy. The control effects of centralized control, and decentralized control with different subsystems are analyzed using 8-story and 20-story models under seismic effects. The results indicate that the proposed decentralized strategy effectively mitigates the seismic response of the structure. The controlled system achieves absolute acceleration and inter-story drift levels comparable to those of centralized control, ensuring system stability and reliability. Additionally, as the number of subsystems increases, computational efficiency significantly improves. These findings illustrate the feasibility of the proposed method.

KSCE Journal of Civil EngineeringVol. 29(10)
Anhui Jianzhu University (CN)
Affordable and clean energy
Openalex Percentile: Top 94%
Adaptive Control of Nonlinear Systems
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