DSCC 2013 Paper Abstract


Paper MoAT6.4

Yabui,, Shota (Hokkaido university), Kajiwara, Itsuro (Hokkaido University), Ookita, Ryohei (Hokkaido University, Division of Human Mechanical\\ Systems and )

Active Vibration Control Based on Self-Sensing for Unkown Target Structures by Direct Velocity Feedback with Adaptive Feed-Forward Cancellation

Scheduled for presentation during the Invited session "Control, Monitoring, and Energy Harvesting of Vibratory Systems: Active Vibration Control -1" (MoAT6), Monday, October 21, 2013, 11:15−11:35, Room 134

6th Annual Dynamic Systems and Control Conference, October 21-23, 2020, Stanford University, Munger Center, Palo Alto, CA

This information is tentative and subject to change. Compiled on October 30, 2020

Keywords Sensor fusion, Model Reduction, Kalman filtering


This paper presents active vibration control based on self-sensing for unknown target structures by direct velocity feedback (DVFB) with enhanced adaptive feed-forward cancellation (AFC). AFC is known as an adaptive control method, and the adaptive algorithm can estimate a periodic disturbance. In a previous study, an enhanced AFC was developed to compensate for a non-periodic disturbance. An active vibration control based on self-sensing by DVFB can suppress mechanical resonance by using relative velocity between the voice coil actuator and a target structure. In this study, the enhanced AFC was applied to compensate disturbance for the self-sensing vibration control system. The simulation results showed the vibration control system with DVFB and enhanced AFC could suppress mechanical resonance and compensate disturbances.


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