Studies on control of the active pendulum vibration absorber

• Main Authors: Chi-Hsiung Liang, 梁吉雄
• Other Authors: Pi-Cheng Tung
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/04286559814299832563

博士 === 國立中央大學 === 機械工程研究所 === 99 === In this study, the back-propagation (BP) neural network algorithm, genetic algorithms (GAs) and fuzzy back-propagation neural network are proposed for active control of a centrifugal pendulum vibration absorber (CPVA). The proposed algorithms are applied in this case to regulate the anti-resonance frequency in an active pendulum vibration absorber (APVA), by suppressing vibration of the carrier. The dynamic model of the APVA was developed and simulated using MATLAB. In the simulation results, when the variations of the excitation frequency, the controllers will find the optimal variables to determine an appropriate value such that the vibration amplitude of the carrier is minimized. A comparison of the carrier vibration results for the BP neural network algorithm, the genetic algorithm and fuzzy back-propagation neural network are performed. The simulation results demonstrate the effectiveness of the proposed APVA for reducing the carrier vibrations.