Adaptive multimodal vibration suppression using fuzzy-based control with limited structural data

Kanjuro Makihara, Chikako Kuroishi, Hisao Fukunaga

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


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.

Original languageEnglish
Article number075031
JournalSmart Materials and Structures
Issue number7
Publication statusPublished - 2013 Jul


Dive into the research topics of 'Adaptive multimodal vibration suppression using fuzzy-based control with limited structural data'. Together they form a unique fingerprint.

Cite this