Adaptive multimodal vibration suppression using fuzzy-based control with limited structural data
Adaptive multimodal vibration suppression using fuzzy-based control with limited structural data
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DOI：
10.1088/0964-1726/22/7/075031
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发表时间：
2013-06
影响因子：
4.1
通讯作者：
Kanjuro Makihara;Chikako Kuroishi;H. Fukunaga
中科院分区：
文献类型：
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作者：
Kanjuro Makihara;Chikako Kuroishi;H. Fukunaga
提出了一种基于模糊的有限结构数据自适应多峰振动抑制方法。自适应控制由模糊推理和半主动切换方法组成。我们证明了它适用于振动结构的多模态振动抑制，其中单个压电致动器同时抑制两个模态振动。我们的基于模糊的半主动控制只需要自然频率的结构信息来进行实时的自适应反馈，而普通的自适应控制需要高精度的结构模型或完整的运动方程。进行了基于模糊控制的半主动振动抑制实验，并与传统控制方法进行了性能比较。实验结果表明，所提出的模糊控制在扰动激励突变时具有良好的适应性，并具有良好的抑制性能。基于模糊控制的控制器可以适应较大范围的扰动条件，无论是在控制器设计时假定的振动激励范围之内还是之外。
We propose a novel fuzzy-based method of adaptive multimodal vibration suppression with limited structural data. The adaptive control consists of fuzzy inference and a semi-active switching approach. We demonstrate it to be applicable to multimodal vibration suppression for vibrating structures, where a single piezoelectric actuator suppresses two modal vibrations simultaneously. Our fuzzy-based semi-active control requires only the structural information of natural frequencies for real-time adaptive feedback, whereas common adaptive controls require highly precise structural models or complete equations of motion. We conduct experiments in semi-active vibration suppression using the proposed fuzzy-based control, and compare the suppression performance of our fuzzy-based approach with conventional controls. The experiments indicate that the proposed fuzzy-based control demonstrates good adaptability when experiencing sudden changes in disturbance excitation, and also demonstrates high suppression performance. The fuzzy-based control can adapt to a wide range of disturbance conditions, both within and outside the range of vibration excitations assumed when the controller is designed.