Self-learning vibration absorber with negative electromagnetic stiffness for variable vibration

Self-adaptive piezoelectric vibration absorber with semi-passive tunable resonant shunts

“…This type of self-adaptive or self-learning strategy has recently been explored in the literature for other vibration control techniques. Wang et al [28] proposed a self-learning tuning method based on neural networks for an electromagnetic vibration absorber with negative stiffness under variable frequency excitation. Song et al [29] investigated the use of a nonlinear autoregressive with exogenous input model for vibration identification and control of a flexural beam with piezoelectric actuators.…”

Research on the Vibration Reduction Mechanism of a New Tensioning Platform with an Embedded Superstructure

“…Niu et al [7] designed a bionic vibration isolator with a flexible structure for the vibration suppression of sensitive loads, thereby achieving a better vibration isolation effect. Wang et al [8] designed a self-learning vibration absorber with negative electromagnetic stiffness, and provided a useful framework for the vibration control of sensitive loads. However, the design size and space of these sensitive loads on-orbit are usually limited, so it is necessary to integrate the vibration isolation and precision positioning devices for sensitive payloads, especially considering the high precision requirements during operation.…”