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Purpose <p>In this study, we explore the potential of structural vibration control for mitigating seismic hazards in civil engineering structures. The traditional control algorithms face challenges due to their mathematical complexity and the intricate dynamic behavior of structures. Therefore, to address these issues, the research proposes an Linear Quadrat ic Gaussian based Particle Swarm Optimized (LQG-PSO) semi-active control algorithm for managing the force exerted by Magneto-rheological (MR) dampers. The main goal is to enhance the structural response and stability of a benchmark space-framed structure encountered with various earthquake time histories.</p> Methods <p>Additionally, the Linear Quadratic Gaussian (LQG) design employs additive white Gaussian noises as inputs to stabilize the control system and determine the ideal control force. Moreover, the proposed LQG-PSO semi-active control algorithm efficiently assesses the optimum value of weighting matrices and demonstrates superior convergence capabilities compared to other optimization techniques. In support of the proposed control methodology, numerical and experimental investigations are carried out. Also, we compare the proposed methodology with a Linear Quadratic Gaussian-based constrained binary-coded Genetic Algorithm (LQG-GA) and a passive Tuned Liquid Column Damper (TLCD) design-based controllers.</p> Results <p>The resultant outcomes depicts that constructed method performs well and visualizes the significant reductions in the top floor peak displacement, Fast Fourier Transform (FFT) and Root Mean Square(RMS) of Power Spectral Density (PSD) around 90−97% than the conventional one and LQG-GA based controller. Illustrations through the Monte-Carlo simulation conducted based on 10000 experiments confirm that the probability of occurring peak displacement less than the minimum displacement value obtained by the proposed LQG-PSO semi-active control algorithm is extremely high in all simulations compared to that of LQG-GA based controller.</p> Conclusion <p>The study visualizes the efficacy of the configured LQG-PSO semi-active control algorithm in the way of reduced stable linear motions to a space-framed structure that behaves in a non-linear fashion due to severe environmental seismic loads.</p>

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Particle Swarm Optimization based Linear Quadratic Gaussian Semi Active Control Algorithm for Space Framed Structure using Magneto-Rheological Damper

  • 期刊论文

  • 发表日期：

    2025年4月18日

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  • P. Chaudhuri,
  • R. Manikandan,
  • R. Sakthivel

摘要

Purpose

In this study, we explore the potential of structural vibration control for mitigating seismic hazards in civil engineering structures. The traditional control algorithms face challenges due to their mathematical complexity and the intricate dynamic behavior of structures. Therefore, to address these issues, the research proposes an Linear Quadrat ic Gaussian based Particle Swarm Optimized (LQG-PSO) semi-active control algorithm for managing the force exerted by Magneto-rheological (MR) dampers. The main goal is to enhance the structural response and stability of a benchmark space-framed structure encountered with various earthquake time histories.

Methods

Additionally, the Linear Quadratic Gaussian (LQG) design employs additive white Gaussian noises as inputs to stabilize the control system and determine the ideal control force. Moreover, the proposed LQG-PSO semi-active control algorithm efficiently assesses the optimum value of weighting matrices and demonstrates superior convergence capabilities compared to other optimization techniques. In support of the proposed control methodology, numerical and experimental investigations are carried out. Also, we compare the proposed methodology with a Linear Quadratic Gaussian-based constrained binary-coded Genetic Algorithm (LQG-GA) and a passive Tuned Liquid Column Damper (TLCD) design-based controllers.

Results

The resultant outcomes depicts that constructed method performs well and visualizes the significant reductions in the top floor peak displacement, Fast Fourier Transform (FFT) and Root Mean Square(RMS) of Power Spectral Density (PSD) around 90−97% than the conventional one and LQG-GA based controller. Illustrations through the Monte-Carlo simulation conducted based on 10000 experiments confirm that the probability of occurring peak displacement less than the minimum displacement value obtained by the proposed LQG-PSO semi-active control algorithm is extremely high in all simulations compared to that of LQG-GA based controller.

Conclusion

The study visualizes the efficacy of the configured LQG-PSO semi-active control algorithm in the way of reduced stable linear motions to a space-framed structure that behaves in a non-linear fashion due to severe environmental seismic loads.