考虑时滞的磁流变阻尼器结构随机半主动控制方法。

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Zhenkai Zhang, Zhiwei Bao, Wenyong Ma, Peifang Sun
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引用次数: 0

摘要

磁流变(MR)阻尼器在半主动控制系统中的应用面临着一个关键的挑战:反馈过程引起的时间延迟,这降低了土木工程结构在随机激励下的可靠性。本文提出了一种带有时滞补偿的随机最优半主动控制方法(SOSC-PSO),利用物理随机最优控制理论(PSO)来解决这一问题并保持结构可靠性。该方法将半主动控制力作为当前状态和前状态的函数,补偿控制过程中的时间延迟。为了优化控制效果,根据系统的可靠性准则对关键参数进行了调整。对随机地震作用下的单自由度和多自由度结构的验证分析表明,时间延迟对磁流变阻尼器的性能有显著影响。然而,带时滞补偿的SOSC-PSO方法显著提高了控制效果,并且在参数优化后,比无参数优化的方法提高了结构控制系统的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic Semi-active Control Method of Structure Based on Magnetorheological Dampers Considering Time Delay.

The use of Magnetorheological (MR) dampers in semi-active control systems faces a key challenge: time delay caused by feedback processes, which reduces the reliability of civil engineering structures under stochastic excitations. This paper proposes a Stochastic Optimal Semi-active Control method with time delay compensation (SOSC-PSO), leveraging the Physical Stochastic Optimal control theory (PSO) to address this issue and maintain structural reliability. The proposed method derives the semi-active control force as a function of both current and previous states, compensating for time delays in the control process. To optimize control effectiveness, key parameters are tuned based on a reliability criterion for the system. Validation analyses on single-degree-of-freedom and multi-degree-of-freedom structures under stochastic seismic excitations show that time delays significantly impair the performance of MR dampers. However, the SOSC-PSO method with time delay compensation significantly improves control effectiveness, and with optimized parameters, it enhances the reliability of the structural control system beyond methods without parameter optimization.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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