Experimental investigation of active vibration control using neural networks

2001 ◽  
Author(s):  
Ratneshwar Jha ◽  
Jacob Rower
Keyword(s):  
Neural Networks ◽  
Experimental Investigation ◽  
Vibration Control ◽  
Active Vibration Control ◽  
Active Vibration

scholarly journals Experimental implementation of artificial neural network-based active vibration control & chatter suppression

2021 ◽  
Author(s):  
Yong Xia
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Control System ◽  
Vibration Control ◽  
Control Strategies ◽  
Active Vibration Control ◽  
Chatter Suppression ◽  
Active Vibration ◽  
Artificial Neural

Vibration control strategies strive to reduce the effect of harmful vibrations such as machining chatter. In general, these strategies are classified as passive or active. While passive vibration control techniques are generally less complex, there is a limit to their effectiveness. Active vibration control strategies, which work by providing an additional energy supply to vibration systems, on the other hand, require more complex algorithms but can be very effective. In this work, a novel artificial neural network-based active vibration control system has been developed. The developed system can detect the sinusoidal vibration component with the highest power and suppress it in one control cycle, and in subsequent cycles, sinusoidal signals with the next highest power will be suppressed. With artificial neural networks trained to cover enough frequency and amplitude ranges, most of the original vibration can be suppressed. The efficiency of the proposed methodology has been verified experimentally in the vibration control of a cantilever beam. Artificial neural networks can be trained automatically for updated time delays in the system when necessary. Experimental results show that the developed active vibration control system is real time, adaptable, robust, effective and easy to be implemented. Finally, an experimental setup of chatter suppression for a lathe has been successfully implemented, and the successful techniques used in the previous artificial neural network-based active vibration control system have been utilized for active chatter suppression in turning.

scholarly journals Experimental investigation of spillover effect in system of active vibration control

2014 ◽  
Vol 42 (4) ◽  
pp. 329-334 ◽  
Author(s):  
Miroslav M. Jovanović ◽  
Aleksandar M. Simonović ◽  
Nemanja D. Zorić ◽  
Nebojša S. Lukić ◽  
Slobodan N. Stupar ◽  
...  
Keyword(s):  
Experimental Investigation ◽  
Vibration Control ◽  
Active Vibration Control ◽  
Spillover Effect ◽  
Active Vibration

Experimental investigation of different actuator technologies for active vibration control

1999 ◽  
Vol 8 (2) ◽  
pp. 284-284
Author(s):  
M J Brennan ◽  
J Garcia-Bonito ◽  
S J Elliott ◽  
A David ◽  
R J Pinnington
Keyword(s):  
Experimental Investigation ◽  
Vibration Control ◽  
Active Vibration Control ◽  
Active Vibration

Analytical and Experimental Investigation on Vibration Control of Piezoelectric Structures

1991 ◽  
Author(s):  
M. J. Tzeng ◽  
W. Z. Wu
Keyword(s):  
Numerical Simulation ◽  
Experimental Investigation ◽  
Vibration Control ◽  
Satisfactory Agreement ◽  
Vibration Suppression ◽  
Experimental Testing ◽  
Active Vibration Control ◽  
Piezoelectric Actuators ◽  
Active Vibration ◽  
Piezoelectric Structures

Abstract Active vibration control of smart structural materials (beam and plate) has been achieved by using distributed piezoelectric actuators. Numerical simulation and experimental testing have been conducted to investigate vibration suppression of the advanced structures. Results from simulation and testing are in satisfactory agreement.

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