Active Vibration Control for Smart Structure Base on the Fuzzy Logic

In this article, active vibration control of a piezo laminated smart structure is presented using poling tuned piezoelectric material. To improve the performance of existing materials and utilize the actuation potential of different modes of operation ( d31, d33, and d15), simultaneously, the poling direction of the piezoelectric materials is altered and an optimum poling direction is found. Poling tuned piezoelectric patches at the top and bottom layers of the structure are mounted which act as sensors and actuators, respectively. The computational technique used for calculating the time history of the structure is a finite element method. A fuzzy logic controller is developed to compute the appropriate actuator signal as output while taking sensor voltage and its derivative as input. The controlled response due to this fuzzy logic controller is calculated for different piezoelectric materials under consideration and the performance of these materials in active vibration control is compared. Influence of poling angle on the controlled response of the structure is scrutinized and is found to vary from material to material. A large enhancement due to poling tuning is seen in the properties of Pb(Mg1/3Nb2/3)O3-0.35PbTiO3 (PMN-0.35PT), whereas other materials show very less improvement or even decay in the properties.

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Active Vibration Control for Smart Structure Base on the Fuzzy Logic

2009 International Conference on Advanced Computer Control ◽

10.1109/icacc.2009.159 ◽

2009 ◽

Author(s):

Zhang Jing-jun ◽

Cao Li-ya ◽

Yuan Wei-ze

Keyword(s):

Fuzzy Logic ◽

Vibration Control ◽

Active Vibration Control ◽

Smart Structure ◽

Active Vibration

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Theoretical Investigation of a Structure for Active Vibration Control with Fuzzy Logic Approach

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.598.529 ◽

2014 ◽

Vol 598 ◽

pp. 529-533

Author(s):

Erdi Gülbahçe ◽

Mehmet Çelik ◽

Mustafa Tinkir

Keyword(s):

Mathematical Model ◽

Fuzzy Logic ◽

Vibration Control ◽

Modal Analysis ◽

Prediction Models ◽

Block Diagram ◽

Active Vibration Control ◽

Control Block ◽

Inference System ◽

Active Vibration

The main purpose of this study is to prepare mathematical model for active vibration control of a structure. This paper presents the numerical and experimental modal analysis of aluminum cantilever beam in order to investigate the dynamic characteristics of the structure. The results will be used for active vibration control of structure’s experimental setup. Experimental natural frequencies are obtained and compared to verify the proposed numerical model by using modal analysis results. MATLAB System Identification Toolbox and ANSYS harmonic response function are used together to estimate beam’s equations of motion which include its amplitude, frequency and phase angle values. Moreover, the mathematical model of beam is simulated in MATLAB/Simulink software to determine the dynamic behavior of the proposed system. Furthermore, another prediction model approach with multiple input and single output is used to find the realistic behavior of beam via an adaptive neural-network-based fuzzy logic inference system, in addition, impulse responses of the proposed models are compared and the control block diagram for active vibration control is implemented. As a first iteration, PID type controller is designed to suppress vibrations against the disturbance input. The results of modal analysis, the prediction models, controlled and uncontrolled system responses are presented in graphics and tables for obtaining a sample numerical active vibration control.

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Performance Evaluation of Optimized Piezoelectric Smart Structure for Active Vibration Control

Lecture Notes in Mechanical Engineering - Current Advances in Mechanical Engineering ◽

10.1007/978-981-33-4795-3_6 ◽

2021 ◽

pp. 51-59

Author(s):

Biswaranjan Swain ◽

J. Halder ◽

N. Swain ◽

D. Patnaik ◽

Praveen P. Nayak ◽

...

Keyword(s):

Performance Evaluation ◽

Vibration Control ◽

Active Vibration Control ◽

Smart Structure ◽

Active Vibration

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

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2018.11.152 ◽

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

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

Journal of Intelligent Material Systems and Structures ◽

10.1177/1045389x17692052 ◽

2017 ◽

Vol 28 (18) ◽

pp. 2603-2616 ◽

Cited By ~ 8

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.

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