Application of genetic algorithms to active vibration control of a centrifugal pendulum vibration absorber

2010 ◽  
Vol 224 (4) ◽  
pp. 329-338 ◽  
Author(s):  
C-H Liang ◽  
P-C Tung
Keyword(s):  
Genetic Algorithms ◽  
Vibration Control ◽  
Active Vibration Control ◽  
Vibration Absorber ◽  
Centrifugal Pendulum Vibration Absorber ◽  
Active Vibration

scholarly journals Active vibration control for high-rise buildings using a dynamic vibration absorber driven by servomotor.

1991 ◽  
Vol 57 (534) ◽  
pp. 472-477 ◽  
Author(s):  
Kazuo YOSHIDA ◽  
Tarou SHIMOGOU ◽  
Junji HASHIMOTO ◽  
Tetsuo SUZUKI ◽  
Mitsuru KAGEYAMA ◽  
...  
Keyword(s):  
Vibration Control ◽  
Active Vibration Control ◽  
Vibration Absorber ◽  
Dynamic Vibration Absorber ◽  
High Rise ◽  
Dynamic Vibration ◽  
Active Vibration

A FUZZY NEURAL NETWORK FOR THE ACTIVE VIBRATION CONTROL OF A CENTRIFUGAL PENDULUM VIBRATION ABSORBER

2009 ◽  
Vol 20 (12) ◽  
pp. 1963-1979
Author(s):  
CHI-HSIUNG LIANG ◽  
PI-CHENG TUNG
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Active Vibration Control ◽  
Bp Algorithm ◽  
Vibration Absorber ◽  
Neural Network Controller ◽  
Network Controller ◽  
Centrifugal Pendulum Vibration Absorber ◽  
Active Vibration ◽  
Simulation Results

In this study, we develop a fuzzy back-propagation (BP) neural network controller for active vibration control of a centrifugal pendulum vibration absorber (CPVA). The fuzzy BP neural network controller systems can be viewed as a conventional fuzzy algorithm for coarse tuning. The BP algorithm can also be applied for fine tuning, 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 frequency of the disturbance changes, the outputs of the fuzzy BP neural network controller are used to determine an appropriate value for the torque of the active pendulum such that the vibration amplitude of the carrier is minimized. A comparison of the carrier vibration results for the CPVA, the fuzzy algorithm and the fuzzy BP algorithm is performed. The simulation results demonstrate the effectiveness of the proposed fuzzy BP neural network APVA for reducing the carrier vibrations.

Efficient Vibration Control with a Semi-Active Vibration Absorber in a Semiconductor Fab

2014 ◽  
Vol 564 ◽  
pp. 143-148 ◽  
Author(s):  
Teng Sheng Su ◽  
Chen Far Hung ◽  
Shu Hua Chang ◽  
Ting Hao Wu ◽  
Luh Maan Chang
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Natural Frequency ◽  
Cantilever Beam ◽  
Active Vibration Control ◽  
Control Process ◽  
Vibration Absorber ◽  
Servo Motor ◽  
Resonant Condition ◽  
Active Vibration

In this paper a new type of semi-active vibration absorber has been developed. The vibration absorber consists of mass block, cantilever beam, magnet lock system, vibration and distance sensors, controller and servo motor. The mass block is fixed on the tip of cantilever beam, and the control process is driven by a servo motor and a transmit gears. Portion of cantilever was cut in form of gear tracks, which can be driven by servo motor through transmit gear to regulate the length of the cantilever beam, and the natural frequency of absorber will also be regulated. After the mass locates in right position (i.e. the natural frequency of absorber is in assigned condition), the magnetic lock will clamp the cantilever beam. The design has the benefit of simplified control system, and extra unknown vibration modes will be averted. A fabrication prototype of the proposed semi-active vibration absorber is constructed and tested to demonstrate the application and modeling of the new cantilever beam damper. By performing the experimental work, the semi-active vibration control system is designed not only for reduce vibration level in resonant condition, but also considered for vibration attenuation in non-resonant conditions.

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