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Semi-active control of smart tuned mass damper using empirical mode decomposition and Hilbert transform algorithm

机译:基于经验模态分解和希尔伯特变换算法的智能调谐质量阻尼器的半主动控制

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A new control algorithm has been developed based on Empirical Mode Decompositionrnand Hilbert Transform for an innovative smart variable stiffness tuned mass damper (SAIVSTMD)rndeveloped by the authors. The system has the distinct advantage of retuning in real time thusrnmaking the system robust to changes in building stiffness and damping, whereas the passive tunedrnmass damper (TMD) can only be tuned to a fixed frequency. SAIVS system requires nominalrnpower for operation as compared to active tuned mass dampers. Nonlinear time varying analyticalrnmodel, with smart tuned mass damper, has been developed. Numerical simulations have been performedrnusing the analytical model. Empirical mode decomposition (EMD) method and HilbertrnTransform (HT) have been used to perform system identification and frequency estimation. ThernSAIVS-TMD was retuned using new control algorithms based on EMD, HT, and instantaneousrnfrequency. Numerical simulation and shaketable test results are presented. It is shown that thernSAIVS-TMD is very effective in reducing the response and providing retuning capability when thernbuilding stiffness changes, whereas the TMD is mistuned and loses its effectiveness.
机译:作者开发了一种基于经验模式分解和希尔伯特变换的控制算法,用于创新的智能变刚度调谐质量阻尼器(SAIVSTMD)。该系统具有实时重新调谐的独特优势,从而使系统对建筑物刚度和阻尼的变化具有鲁棒性,而被动调谐阻尼器(TMD)只能调谐到固定频率。与有源调谐质量阻尼器相比,SAIVS系统需要标称功率才能运行。已经开发了带有智能调谐质量阻尼器的非线性时变分析模型。使用解析模型进行了数值模拟。经验模式分解(EMD)方法和HilbertrnTransform(HT)已用于执行系统识别和频率估计。 SAIVS-TMD使用基于EMD,HT和瞬时频率的新控制算法进行了重新调谐。给出了数值模拟和可振动测试结果。结果表明,当建筑刚度发生变化时,SAIVS-TMD在降低响应和提供重调能力方面非常有效,而TMD则被混淆并失去了有效性。

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