Active Vibration Control Method for Space Mechanical Structure with Piezostacks

2013 ◽  
Vol 198 ◽  
pp. 433-438
Author(s):  
Andrzej Piotr Koszewnik
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Control Method ◽  
Active Vibration Control ◽  
Three Dimensional ◽  
Control Laws ◽  
Distributed Parameters ◽  
Short Period ◽  
Lqr Controller ◽  
Active Vibration

Mechanical structures are spatial, three-dimensional (3D) systems of distributed parameters. They present quite complicated plants, if methods of control systems theory are applied. The design process of the vibration control system for such plants is extremely difficult and requires an extensive heuristic knowledge. The subject of the control system is to eliminate the vibrations of the free end at the plane parallel to the foundation Similar problems are met, when the stabilization of robot arms, antennas, satellite solar batteries or slender skyscrapers is considered. In the paper we have presented the 3D bar structure with sticked parallel two piezo-stacks into bars. Recall piezo-elements are actuators, but sensors are two eddy-current sensors located in near free end the structure in perpendicular directions X and Y. Thus the whole structure is TITO (Two Input Two Output) system. For such system the control law was designed with used LQR controller. Above controller was designed for coupled and decoupled system also. In both case a correct damp and very short period of the vibration were criteria to choose the controller parameters. All investigations were carried out in two steps. In the first step control laws were designed in computer simulation. In the second step these control laws were verified experimentally on the laboratory stand by using DSP. Finally, desired control laws were compared.

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

2013 ◽  
Author(s):  
Shota Yabui ◽  
Itsuro Kajiwara ◽  
Ryohei Okita
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Control Method ◽  
Active Vibration Control ◽  
Mechanical Resonance ◽  
Velocity Feedback ◽  
Feed Forward ◽  
Periodic Disturbance ◽  
Active Vibration ◽  
The Voice

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.

Wave-based active vibration control of a membrane structure

2021 ◽  
pp. 107754632110429
Author(s):  
Xiang Liu ◽  
Liangliang Lv ◽  
Fujun Peng ◽  
Guoping Cai
Keyword(s):  
Vibration Control ◽  
Membrane Structure ◽  
Control Method ◽  
Active Vibration Control ◽  
Standing Waves ◽  
Vibration Modes ◽  
Control Laws ◽  
Reflected Waves ◽  
Active Vibration ◽  
Active Wave

Wave-based active vibration control of a membrane structure by using the Active Sink Method is studied in this paper. Unlike the modal-based vibration control method which attempts to suppress several vibration modes that have already been excited, wave-based active controller can keep vibration modes inactive by stopping the formation of standing waves in the structure. First, the wave transfer matrix is deduced to characterize the wave transmission in the membrane structure. Then, feedforward wave control laws are derived analytically to absorb reflected waves or eliminate transmitted waves. The validity of the proposed active wave controllers is verified through numerical simulations. Simulation results show that by using the active wave controllers no standing waves will be produced in the structure, and the vibration of the membrane structure is suppressed significantly.

Results of Investigation of an Electropneumatic Active Vibration Control System for a Driver's Seat

1995 ◽  
Vol 209 (3) ◽  
pp. 227-234 ◽  
Author(s):  
G J Stein
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Active Vibration Control ◽  
Vertical Direction ◽  
Oscillatory System ◽  
Short Description ◽  
Experimental Results ◽  
Linear Control ◽  
Control Laws ◽  
Active Vibration

The aim of this paper is to present some results of a study of an electropneumatic active vibration control system (AVCS) utilizing a pneumatic spring and a proportional electropneumatic transducer. It is treated as a one degree of freedom linear oscillatory system, working predominantly in the vertical direction. A discussion of various AVCS models and respective linear control laws is followed by a short description of the full-scale dummy system aimed for the driver's seats of heavy earth-moving machines and trucks. Some experimental results are presented too.

scholarly journals 249 2DOF Active Vibration Control for Three-dimensional Lightweight Isolation Table

2003 ◽  
Vol 2003 (0) ◽  
pp. _249-1_-_249-6_
Author(s):  
Masahiro NISHI ◽  
Takashi SHONO ◽  
Masahiko NARUKE ◽  
Toru WATANABE ◽  
Kazuto SETO
Keyword(s):  
Vibration Control ◽  
Active Vibration Control ◽  
Three Dimensional ◽  
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.

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