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Enhancement of a tuned mass damper for building structures using fuzzy logic (Review)

机译:使用模糊逻辑增强用于建筑结构的调谐质量阻尼器(综述)

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Over the past 10 years there has been a growing need to introduce closed-loop control technology for vibration suppression of buildings subject to wind or earthquake disturbances. This paper deals with the investigation of the effectiveness of a fuzzy logic based time variable damping tuned mass damper (TMD) on a building structure undergoing free and forced vibrations. The uniqueness of this approach is the application of a robust, nonlinear fuzzy based controller to emulate a time-optimal control strategy. Fuzzy logic based time variable damping is introduced into a semi-active TMD in order to enhance its performance in the vibration suppression of buildings. First, a single story structure for three different vibration suppression approaches is studied. The fuzzy logic based time variable damping TMD (fuzzy TMD) is compared to the baseline passive TMD as well as a conventional proportional-derivative (PD) controller. Forced vibration is introduced using a resonant harmonic sinusoidal excitation (i.e. same frequency as the fundamental frequency of the structure). Finally, the fuzzy TMD is compared to the baseline for the free vibration of a 15 story structure. For both structures studied, MATLAB? based simulation results show that the passive TMD and the PD, both constant gain approaches, provide similar results whereas the fuzzy TMD yields half the settling time. This effort clearly demonstrates the potential of a variable gain (damping) strategy for the vibration suppression of buildings.
机译:在过去的十年中,越来越需要引入闭环控制技术来抑制受风或地震干扰的建筑物的振动。本文研究了基于模糊逻辑的时变阻尼调谐质量阻尼器(TMD)在经受自由振动和强制振动的建筑结构上的有效性。这种方法的独特之处在于应用了鲁棒的,基于非线性模糊的控制器来模拟时间最优控制策略。基于模糊逻辑的时变阻尼被引入半主动式TMD中,以增强其在建筑物振动抑制方面的性能。首先,研究了三种不同振动抑制方法的单层结构。将基于模糊逻辑的时变阻尼TMD(模糊TMD)与基线无源TMD以及常规比例微分(PD)控制器进行比较。使用谐振谐波正弦激励(即与结构的基频相同的频率)引入强制振动。最后,将模糊TMD与基线进行比较,以了解15层结构的自由振动。对于两种结构,MATLAB?基于仿真的结果表明,无源TMD和PD都是恒定增益方法,它们提供相似的结果,而模糊TMD则只有建立时间的一半。这项工作清楚地表明了可变增益(阻尼)策略在抑制建筑物振动方面的潜力。

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