APPROACHES TO SENSITIVITY ANALYSIS FOR SYSTEM RELIABILITY STUDY OF SMART STRUCTURES FOR ACTIVE VIBRATION REDUCTION

2012 ◽  
Vol 19 (05) ◽  
pp. 1250025 ◽  
Author(s):  
YING LI ◽  
THOMAS PFEIFFER ◽  
JÜRGEN NUFFER ◽  
JOACHIM BÖS ◽  
HOLGER HANSELKA
Keyword(s):  
Sensitivity Analysis ◽  
Active Vibration Control ◽  
Vibration Reduction ◽  
Smart Structure ◽  
Structural Vibration ◽  
Active System ◽  
Reliability Study ◽  
Active Vibration ◽  
Weight Design ◽  
Reliability And Robustness

The modern engineering products must fulfill the increasing requirements to the vibroacoustical behavior of the components and the system. For many applications such as automotive engineering, where light-weight design is desired, passive measures for noise and vibration reduction have reached certain limits. For this reason, active techniques for structural vibration reduction are becoming increasingly important in this field of applications. Commonly, actively or adaptively controlled structural systems consist of a large number of components with various functionalities. As the complexity of the systems increases, reliability and robustness studies become a more complicated task. The knowledge of parameter effects and their interactions is important for the reliability study and the design optimization of such systems. Sensitivity analysis can help the system designers to understand interactions between the system components and identify the important parameters with significant overall influences on the system performance. In this paper, several approaches to sensitivity analysis are applied for a smart structure system with active vibration control. Through these analyses, the influences of the system parameters and control algorithms on the performance of active vibration reduction are investigated. An improvement of the robustness of the active system by using adaptive control will be shown.

Adaptive active vibration control for piezoelectric smart structure with online hysteresis identification and compensation

2020 ◽  
pp. 107754632098057
Author(s):  
Yuxue Pu ◽  
Cheng Yao ◽  
Xiaobao Li ◽  
Zhaotao Liu
Keyword(s):  
Vibration Control ◽  
Active Vibration Control ◽  
Vibration Reduction ◽  
Smart Structure ◽  
Model Parameters ◽  
Mean Square ◽  
Least Mean Square ◽  
Nonlinear Hysteresis ◽  
Active Vibration ◽  
Least Mean Square Algorithm

Smart structure vibration reduction based on adaptive active vibration control has become a hot research spot in recent years. A filtered-U least mean square algorithm based on an infinite impulse response filter structure is used to solve the interference of controller output to reference signal. The filtered-U least mean square algorithm is very suitable for the nonlinear vibration control of the flexible structure. This study focuses on the analysis and implementation of an adaptive active vibration control system for smart structure with a surface-bonded piezoelectric actuator. The piezoelectric actuator contained in the secondary path has nonlinear hysteresis property. The nonlinear hysteresis property will cause a nonlinear relationship between the structural vibration response and the control voltage, which deteriorates the robustness and control effect of the adaptive control. This study designs an improved version of the filtered-U least mean square algorithm with online hysteresis identification and compensation (filtered-U least mean square–online hysteresis identification and compensation) based on a discrete Prandtl–Ishlinskii model. The Prandtl–Ishlinskii model parameters of the nonlinear hysteresis property are identified online based on the least mean square algorithm. Based on the identified Prandtl–Ishlinskii model parameters, an inverse hysteresis compensator is established for feedforward compensation in the secondary path. Simulation results show that the proposed method can dynamically compensate the hysteresis nonlinearity of the secondary path, linearizing the nonlinear hysteresis. The vibration reduction effect of the proposed method is obviously better than that of other competing methods. A piezoelectric smart cantilever plate with PZT (or lead zirconate titanate, Pb (Zr, Ti)) actuators and sensors is designed to demonstrate the validity and efficiency of the proposed method by experiments. Experiment results demonstrate that the adverse effect of nonlinear hysteresis is eliminated well after feedforward hysteresis compensation is introduced; the unexpected frequency vibration caused by the hysteresis property is suppressed. The proposed methodology possesses an important advantage in application of the adaptive active vibration control of the piezoelectric smart structure.

scholarly journals Semi-Active Vibration Control Based on a Smart Exciter with an Optimized Electrical Shunt Circuit

2021 ◽  
Vol 11 (20) ◽  
pp. 9404
Author(s):  
Yi Wang ◽  
Thomas Kletschkowski
Keyword(s):  
Vibration Control ◽  
Active Vibration Control ◽  
Vibration Reduction ◽  
Structural Vibration ◽  
Simulation Framework ◽  
Structural Vibrations ◽  
New Type ◽  
Active Vibration ◽  
Reduction Effect ◽  
Shunt Circuit

A smart exciter coupled to cabin panels can be used as a new type of loudspeaker for emergency announcements in the aircraft cabin. The same device can also be used as a semi-active vibration control system which is effective in reducing the amplitude of structural vibration. The objective of this paper is to investigate the potential of vibration reduction using a smart exciter in combination with an optimized resistive-inductive shunt circuit, which serves as an absorbing network. First, the vibration reduction effect has been analyzed numerically using a simulation framework realized with COMSOL and MATLAB/Simulink. In a second step, the reduction effect of the smart exciter together with a resistive-inductive shunt circuit, which is produced by the Center of Applied Aeronautical Research (Zentrum für Angewandte Luftfahrtforschung GmbH, Hamburg, Germany), has been investigated experimentally. The results presented here prove that the smart exciter together with a resistive-inductive shunt can be highly effective in reducing structural vibrations.

Structural Vibration Control for Bridge Towers and its Effect Under Wind Excitation Using a Wind Tunnel

1997 ◽  
Author(s):  
Fumio Doi ◽  
Kazuto Seto ◽  
Mingzhang Ren ◽  
Yuzi Gatate
Keyword(s):  
Wind Tunnel ◽  
Vibration Control ◽  
Active Vibration Control ◽  
Flexible Structures ◽  
Structural Vibration ◽  
Magnetic Actuators ◽  
Displacement Sensors ◽  
Active Vibration ◽  
Electro Magnetic ◽  
Tower Model

Abstract In this paper we present an experimental investigation of active vibration control of a scaled bridge tower model under artificial wind excitation. The control scheme is designed on the basis of a reduced order model of the flexible structures using the LQ control theory, with a collocation of four laser displacement sensors and two hybrid electro-magnetic actuators. The experimental results in the wind tunnel show that both the bending and the twisting vibrations covering the first five modes of the structure are controlled well.

H ∞ Control of Smart Structure Helicopter Rotor Blade

1991 ◽  
Author(s):  
R. Kashani ◽  
S. Melkote ◽  
A. Sorgenfrei
Keyword(s):  
Rotor Blade ◽  
Active Vibration Control ◽  
Region Of Interest ◽  
Smart Structure ◽  
Helicopter Rotor ◽  
Appreciable Amount ◽  
Modelling Uncertainty ◽  
Helicopter Rotor Blade ◽  
Active Vibration ◽  
Bending Modes

Abstract Active vibration control of helicopter rotor blade is studied. For the purpose of illustration, we have considered only flap wise vibration of a hingeless rotor blade, and modelled it, using finite element method, by 20 beam elements. The first 12 bending modes of the system are considered in the model. A H∞ controller is designed for the plant formulated as above. The result of the numerical simulation of the closed-loop system shows that the control introduces an appreciable amount of damping in the frequency region of interest. The consideration of the modelling uncertainty in the synthesis of the controller resulted in a design which is robust stable in presence of formulated model uncertainty.

scholarly journals Multi-variable model reduction of smart structure in active vibration control

2018 ◽  
Vol 51 (25) ◽  
pp. 441-446
Author(s):  
Peng Wang ◽  
Gerard Scorletti ◽  
Anton Korniienko ◽  
Manuel Collet
Keyword(s):  
Vibration Control ◽  
Model Reduction ◽  
Active Vibration Control ◽  
Smart Structure ◽  
Variable Model ◽  
Active Vibration

Analysis of sensor-debonding failure in active vibration control of smart composite plate

2017 ◽  
Vol 28 (18) ◽  
pp. 2603-2616 ◽  
Author(s):  
Asif Khan ◽  
Hyun Sung Lee ◽  
Heung Soo Kim
Keyword(s):  
Vibration Control ◽  
Composite Plate ◽  
Controller Design ◽  
Active Vibration Control ◽  
Piezoelectric Sensor ◽  
Smart Structure ◽  
Control Input ◽  
Smart Composite ◽  
Active Vibration ◽  
Controlled Structure

In this article, the effect of a sensor-debonding failure on the active vibration control of a smart composite plate is investigated numerically. A mathematical model of the smart structure with a partially debonded piezoelectric sensor is developed using an improved layerwise theory, a higher-order electric-potential field that serves as the displacement field, and the potential variation through the piezoelectric patches. A state-space form that is based on the reduced-order model is employed for the controller design. A control strategy with a constant gain and velocity feedback is used to assess the vibration-control characteristics of the controller in the presence of the sensor-debonding failure. The obtained results show that sensor-debonding failure reduces the sensor-output, control-input signal, and active damping in magnitude that successively degrades the vibration attenuation capability of the active vibration controller. The settling time and relative tip displacement of the controlled structure increase with the increasing length of partial debonding between the piezoelectric sensor and host structure. Furthermore, a damage-sensitive feature along with multidimensional scaling showed excellent results for the detection and quantification of sensor-debonding failure in the active vibration control of smart structures.

Fail-Safe Vibration Control Using Active Force Generators

1983 ◽  
Vol 105 (3) ◽  
pp. 361-368 ◽  
Author(s):  
R. R. Guntur ◽  
S. Sankar
Keyword(s):  
Vibration Control ◽  
Active Vibration Control ◽  
Full Potential ◽  
Active Components ◽  
Active System ◽  
Performance Potential ◽  
Passive Components ◽  
Active Systems ◽  
Active Vibration ◽  
Fail Safe

Using the concept of force generators, various active vibration configurations have been examined for their performance potential. It is shown that an active vibration control system offers a great deal of flexibility in that by a proper choice of active components its transmissibility characteristics can be altered to suit the requirements. It is also shown how the full potential of active systems can be achieved even when there are passive components. An active system is designed in such a way that it gives the desired performance even in the event of the failure of the active components through the reliability offered by a passive system.

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