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Enhanced Adaptive Filtering Algorithm Based on Sliding Mode Control for Active Vibration Rejection of Smart Beam Structures

机译:基于滑模控制的智能梁结构主动振动增强自适应滤波算法

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This article investigates vibration rejection for a continuous smart structure using piezoelectric bimorph patches. Such a structure has inherent nonlinearities, such as hysteresis and creep, and the whole system may experience unexpected disturbances, uncertainties, and noise from external sources. Thus, it is very important to design the active control scheme carefully with adaptive filtering systems to deal with these conditions. An advanced adaptive filtering algorithm was developed based on the conventional least mean squares (LMS) method and sliding mode control for the active vibration rejection system. The sliding mode controller is applied to the standard LMS algorithm to overcome problems with misadjustment and excess error in an optimal manner. A numerical analysis and laboratory experiment show that the technique can significantly attenuate the vibration of the smart structure at different levels and broadband frequency spectra. In addition, unidentified impedance is chosen to change the distribution of the mass, and the robustness and the adaptivity of the proposed approach are verified. The experimental results show that the method can isolate impulse-type vibrations of at least 2.8 dB, even with the adjusted mass arrangement.
机译:本文研究了使用压电双压电晶片贴片的连续智能结构的振动抑制。这种结构具有固有的非线性,例如磁滞和蠕变,并且整个系统可能会遇到意料之外的干扰,不确定性和来自外部源的噪声。因此,使用自适应滤波系统仔细设计主动控制方案以应对这些情况非常重要。基于传统的最小均方(LMS)方法和主动振动抑制系统的滑模控制,开发了一种先进的自适应滤波算法。滑模控制器应用于标准LMS算法,以最佳方式克服了调整不当和过度误差的问题。数值分析和实验室实验表明,该技术可以显着减弱智能结构在不同水平和宽带频谱上的振动。另外,通过选择不确定的阻抗来改变质量分布,并验证了所提方法的鲁棒性和适应性。实验结果表明,即使调整了质量布置,该方法也可以隔离至少2.8 dB的脉冲型振动。

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