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Semi-active H_∞ control for reducing responses of high-speed railway bridges retrofitted by tuned mass damper system with magnetorheological damper

机译:半主动H_∞控制通过磁流变阻尼器调谐质量阻尼系统改造高速铁路桥梁的响应

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To reduce resonant response of high-speed railway bridges, a combination of a tuned mass damper system and a magnetorheological damper (MR-STMD) is proposed in this paper. An H_∞, control algorithm for uncertain models with norm-bounded parameters is derived to drive magnetorheological damping forces. The results of the optimal control problem are obtained based on the approach of linear matrix inequalities (LMIs). Besides, adaptive neuro-fuzzy inference system technology (ANFIS) is also used to build the inverse model of MR dampers and enhance the tracking ability of MR dampers. It can lead to quite exact command voltage predictions. Finally, the effectiveness of the MR-STMD controlled by the proposed scheme is evaluated and compared with traditional tuned mass dampers through some numerical simulations. The results show that the MR-STMD controlled by the proposed algorithm can significantly reduce the resonant response of beams when compared with tuned mass dampers. Especially, it can improve the drawbacks of passive TMDs due to the de-tuning effect in manufacturing.
机译:为了减少高速铁路桥的谐振响应,本文提出了调谐质量阻尼系统和磁流变器(MR-STMD)的组合。一种H_∞,衍生规范界限参数的不确定模型的控制算法,以驱动磁流变阻尼力。基于线性矩阵不等式(LMI)的方法获得了最佳控制问题的结果。此外,适应性神经模糊推理系统技术(ANFIS)还用于构建MR阻尼器的逆模型,提高MR阻尼器的跟踪能力。它可以导致相当精确的命令电压预测。最后,通过一些数值模拟评估由所提出的方案控制的MR-STMD的有效性,并与传统调谐质量阻尼器进行比较。结果表明,与调谐质量阻尼器相比,由所提出的算法控制的MR-STMD可以显着降低光束的共振响应。特别是,由于制造中的去调谐效果,它可以改善被动TMD的缺点。

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