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Particle Swarm Optimization based Linear Quadratic Gaussian semi active control Algorithm for Space Framed Structure using Magneto-Rheological Damper

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JOURNAL OF vibration ENGINEERING & TECHNOLOGIES 2025年第5期13卷 1-26页

作者： Chaudhuri, P. Manikandan, R. Sakthivel, R. Indian Inst Technol Civil Engn Dept Kharagapur 721302 India Bharathiar Univ Dept Appl Math Coimbatore 641046 India Vignans Fdn Sci Technol & Res Civil Engn Dept Guntur 522213 India

PurposeIn 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 ***, 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 *** 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

关键词： semi-active control and vibration control Magneto-rheological damper Particle swarm optimization Linear quadratic Gaussian Auto-regressive exogenous input model

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