A novel optimal configuration of sensor and actuator using a non-linear integer programming genetic algorithm for active vibration control

Zhang, Chunyou; Wang, Lihua; Wu, Xiaoqiang; Gao, Weijin

doi:10.1177/1045389x16685439

Cited by 13 publications

(7 citation statements)

References 26 publications

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“…The optimal locations of a multitude of structures have been investigated with GA based optimization technique. Starting from homogeneous [59][60][61] and composite plates [62], GA based optimization has been utilized to determine the optimal actuator and sensor locations for structures like sandwich panels with regular honeycomb interlayers [63], smart fiber reinforced polymer shell structures [64], cylindrical shells [65], and doubly curved stiffened shells [66,67]. In many of these studies, there are several constraints that add to the complexity of the problem.…”

Section: Optimization Studies On Piezoelectric Avcmentioning

confidence: 99%

“…• A modified control matrix and singular value decomposition approach was used to determine the optimal positions of ten piezoelectric actuators, used for AVC of a simply supported plate [59]. • A nonlinear integer programming GA, based on the controllable and observable Gramian matrixes, was used to determine the optimal location of sensors and actuators for controlling the vibrations of a cantilever plate [60]. • A new hybrid optimization algorithm based on GA, sequential quadratic programming, and PSO was used to analyze the optimal locations of multiple piezoelectric sensors and actuators to control the vibrations of a simply supported plate [61].…”

Section: Optimization Studies On Piezoelectric Avcmentioning

confidence: 99%

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Review on the use of piezoelectric materials for active vibration, noise, and flow control

Shivashankar

Gopalakrishnan

2020

Smart Mater. Struct.

144

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Considering the number of applications, and the quantity of research conducted over the past few decades, it would not be an overstatement to label the piezoelectric materials as the cream of the crop of the smart materials. Among the various smart materials, the piezoelectric materials have emerged as the most researched material for practical applications. They owe it to a few key factors like low cost, large frequency bandwidth of operation, availability in many forms, and the simplicity offered in handling and implementation. For piezoelectric materials, from an application standpoint, the area of active control of vibration, noise, and flow, stands, alongside energy harvesting, as the most researched field. Over the past three decades, several authors have used piezoelectric materials as sensors and actuators, to (i) actively control structural vibrations, noise and aeroelastic flutter, (ii) actively reduce buffeting, and (iii) regulate the separation of flows. These studies are spread over several engineering disciplines-starting from large space structures, to civil structures, to helicopters and airplanes, to computer hard disk drives. This review is an attempt to concise the progress made in all these fields by exclusively highlighting the application of the piezoelectric material. The research carried out in the past five years, in the areas of modeling, and optimal positioning of piezoelectric actuators/sensors, for active vibration control (AVC), are covered. Along with this, investigations into different control algorithms, for the piezoelectric based AVC, are also reviewed. Studies reporting the use of piezoelectric modal filtering and self sensing actuators, for AVC, are also surveyed. Additionally, research on semi-AVC techniques like the synchronized switched damping (on elements like resistor, inductor, voltage source, negative capacitor) has also been covered.

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Section: Optimization Studies On Piezoelectric Avcmentioning

confidence: 99%

Section: Optimization Studies On Piezoelectric Avcmentioning

confidence: 99%

Review on the use of piezoelectric materials for active vibration, noise, and flow control

Shivashankar

Gopalakrishnan

2020

Smart Mater. Struct.

144

View full text Add to dashboard Cite

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“…To overcome this challenge, researchers used numerical optimization methods that are not dependent on the gradient of the cost function. Stochastic optimization methods, such as evolutionary algorithms, initially select random parameter combinations over the whole parameter space [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Optimization of sonar transducers via evolutionary algorithms

Karami

Morsali

2019

SN Appl. Sci.

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Tonpilz acoustic transducer is a device for detecting objects under the water and measuring their properties. The Tonpilz includes a stack of piezoelectric actuators polarized across their thickness. The range of pressure level on the working frequency band and the sound pressure level at the resonance frequency are two crucial factors determining the performance of the transducer. A large number of structural and material attributes makes the design process of Tonpilz difficult. This study aims to improve the performance of a Tonpilz by using the optimization to find the globally optimum design variable set. A multi-objective function is introduced based on transducer performance measures. Furthermore, the problem of mixed-integer programming is addressed. Based on the geometrical and operational limits, a series of constraints were introduced in the optimization problem. The results show that optimizing the design variables greatly enhances performance.

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“…Dynamic modeling and active vibration control of flexible manipulators have been paid considerable attention, as indicated in a number of survey papers [1,2,3,4,5,6,7]. Although there are many theoretical and experimental studies of active vibration control in flexible structures and simple flexible manipulators [7,8,9], the active vibration control of flexible parallel robot mechanisms is less studied due to its complexity.…”

Section: Introductionmentioning

confidence: 99%

Study on Residual Vibration Suppress of a 3-DOF Flexible Parallel Robot Mechanism

Zhang

et al. 2018

Sensors

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Residual vibration suppression of a 3-DOF flexible parallel robot mechanism is implemented in this paper. Considering the direct and inverse piezoelectric effect of PZT (lead zirconium titanate) material, a general motion equation is established which includes an input equation of PZT actuators and an output equation of PZT sensors. A strain and strain rate feedback (SSRF) controller is designed based on the established general motion equation. A numerical simulation is implemented to verify the effectiveness of the SSRF controller in driving the proposed robotic mechanism. The simulation results reveal that the SSRF controller can decrease the elastic vibration displacement of the flexible links rapidly and improve the position accuracy of the moving platform. In the experimental study, one scheme with three passive flexible links is controlled by the SSRF controller at the same time as the performance of the introduced solutions. The experimental results show that the strain and strain rate feedback controller is able to effectively suppress the residual vibration of the 3-DOF flexible parallel robot mechanism. The results of the numerical simulation and experiment are completely consistent.

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A novel optimal configuration of sensor and actuator using a non-linear integer programming genetic algorithm for active vibration control

Cited by 13 publications

References 26 publications

Review on the use of piezoelectric materials for active vibration, noise, and flow control

Review on the use of piezoelectric materials for active vibration, noise, and flow control

Optimization of sonar transducers via evolutionary algorithms

Study on Residual Vibration Suppress of a 3-DOF Flexible Parallel Robot Mechanism

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