scholarly journals Active Vibration Control for a Nonlinear Mechanical System Using On-line Algebraic Identification

10.5772/10144 ◽  
2010 ◽  
Author(s):  
Francisco Beltran-Carbajal ◽  
Francisco Beltran-Carbajal ◽  
Gerardo Silva-Navaro ◽  
Andres Blanco-Ortega ◽  
Esteban Chavez-Conde
2000 ◽  
Vol 123 (2) ◽  
pp. 266-271 ◽  
Author(s):  
Y. M. Song ◽  
C. Zhang ◽  
Y. Q. Yu

An investigation is presented into the neural networks based active vibration control of flexible linkage mechanisms. A smart mechanism featuring piezoceramic actuators and strain gauge sensors is designed. A nonlinear adaptive control strategy named Neural Networks based Direct Self-Tuning Control (NNBDSC) is employed to suppress the elastodynamic responses of the smart mechanism. To improve the initial robustness of the NNBDSC, the Dynamic Recurrent Neural Network (DRNN) controllers are designed off-line to approximate the inverse dynamics of the smart mechanism. Through on-line control, the strain crest of the flexible link is reduced 60 percent or so and the dynamic performance of the smart mechanism is improved significantly.


Author(s):  
K. V. Frolov

Abstract The theory of active vibration control based on the principle of broad-band compensation coupled with controllable vibration damping is presented. The applications of this principle to parametric and nonlinear mechanical structures are discussed. For the first time the possibility of the active vibration control with the aid of stochastic self-excited vibration spectrum transformation nonlinear phenomena is investigated. The theoretical and experimental results are compared for various complex mechanical objects.


1987 ◽  
Author(s):  
ZORAN MARTINOVIC ◽  
RAPHAEL HAFTKA ◽  
WILLIAM HALLAUER, JR. ◽  
GEORGE SCHAMEL, II

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