Application of a Bandpass Filter for the Active Vibration Control of High-Speed Rotors

2019 ◽  
Vol 24 (3) ◽  
pp. 608-615 ◽  
Author(s):  
Miroslav Pawlenka ◽  
Miroslav Mahdal ◽  
Jiri Tuma ◽  
Adam Burecek
Keyword(s):  
Control System ◽  
Vibration Control ◽  
High Speed ◽  
Control Algorithm ◽  
Bandpass Filter ◽  
Active Vibration Control ◽  
Orthogonal Direction ◽  
Sliding Bearings ◽  
Active Vibration ◽  
Proportional Controller

This study concerns the active vibration control of journal bearings, which are also known as sliding bearings. The control system contains a non-rotating loose bushing, the position of which is controlled by piezoelectric actuators. For governing the respective orthogonal direction of the journal motion, the control algorithm realizes a proportional controller in parallel with a bandpass filter of the IIR type. The bandpass filter is of the second order and its centre frequency is self-tuned to be the same as the whirl frequency that results from the instability of the bearing journal due to the oil film. The objective of active vibration control is to achieve the highest operational speed of the journal bearing at which the motion of the rotor is stable. The control algorithm for the active vibration control is implemented in Simulink and realized in a dSPACE control system.

Hardware Design for Active Vibration Isolation Controller

2011 ◽  
Vol 211-212 ◽  
pp. 1061-1065
Author(s):  
Qiang Hong Zeng ◽  
Shi Jian Zhu ◽  
Jing Jun Lou ◽  
Shui Qing Xie
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Active Control ◽  
High Speed ◽  
Vibration Isolation ◽  
Active Vibration Control ◽  
Signal Acquisition ◽  
Acceleration Sensor ◽  
Series Acceleration ◽  
Active Vibration

The active vibration control system are described in this paper, and the controller was designed for the active control system, the controller is based on ARM Cortex M3 microcontroller core, ICP series acceleration sensor is use for signal acquisition module, the A / D converter module was designed based on ADS1158 chip, the D/ A converter module was designed based on DAC8564 chip. The controller has the characteristics of high speed and versatility.

Modeling and vibration control of an active horizontal seat suspension with pneumatic muscles

2018 ◽  
Vol 24 (24) ◽  
pp. 5938-5950 ◽  
Author(s):  
Igor Maciejewski ◽  
Tomasz Krzyzynski ◽  
Henning Meyer
Keyword(s):  
Control System ◽  
Vibration Control ◽  
Control Algorithm ◽  
Active Vibration Control ◽  
System Structure ◽  
Seat Suspension ◽  
Inverse Models ◽  
Pneumatic Muscles ◽  
Active Vibration ◽  
Improved Performance

In the following paper, the dynamic modeling of a horizontal seat suspension which uses pneumatic muscles for the purpose of active vibration control is discussed. An original control system structure is proposed in order to improve the vibro-isolation properties of a horizontal seat suspension system. The presented control system design is based on inverse models of the pneumatic muscles and the primary controller that calculates the desired active force. By using the configurable control algorithm developed in this paper, it is possible to achieve a significant reduction in vibrations transmitted into the human body with just a slight increasing of the suspension travel. The active seat shows improved performance over the passive system in the 1–10 Hz frequency range. The results presented in this paper are useful in selecting the horizontal vibration control system for improving the comfort of a drive.

Frequency Shaped Semi-Active Control for Magnetorheological Fluid-Based Vibration Control Systems

2013 ◽  
Author(s):  
Young-Tai Choi ◽  
Norman M. Wereley ◽  
Gregory J. Hiemenz
Keyword(s):  
Vibration Control ◽  
Control Systems ◽  
Active Control ◽  
Control Algorithm ◽  
Active Vibration Control ◽  
Control Algorithms ◽  
Model Parameters ◽  
Mr Fluid ◽  
Control Current ◽  
Active Vibration

Novel semi-active vibration controllers are developed in this study for magnetorheological (MR) fluid-based vibration control systems, including: (1) a band-pass frequency shaped semi-active control algorithm, (2) a narrow-band frequency shaped semi-active control algorithm. These semi-active vibration control algorithms designed without resorting to the implementation of an active vibration control algorithms upon which is superposed the energy dissipation constraint. These new Frequency Shaped Semi-active Control (FSSC) algorithms require neither an accurate damper (or actuator) model, nor system identification of damper model parameters for determining control current input. In the design procedure for the FSSC algorithms, the semi-active MR damper is not treated as an active force producing actuator, but rather is treated in the design process as a semi-active dissipative device. The control signal from the FSSC algorithms is a control current, and not a control force as is typically done for active controllers. In this study, two FSSC algorithms are formulated and performance of each is assessed via simulation. Performance of the FSSC vibration controllers is evaluated using a single-degree-of-freedom (DOF) MR fluid-based engine mount system. To better understand the control characteristics and advantages of the two FSSC algorithms, the vibration mitigation performance of a semi-active skyhook control algorithm, which is the classical semi-active controller used in base excitation problems, is compared to the two FSSC algorithms.

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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