Structural multimode vibration absorbing with electromagnetic shunt damping

Yan, Bo; Luo, Yajun; Zhang, Xinong

doi:10.1177/1077546314543809

Cited by 30 publications

(21 citation statements)

References 30 publications

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“…v, I and Fe denote the relative velocity, the current flowing in the circuit, and the control force, respectively. Cm of the rectangle-shaped can be found in [52,53,55,56], the cylinder-shaped in [48,57], and the annular-shaped in [8,[58][59][60][61].…”

Section: Electromagnetic Transducermentioning

confidence: 99%

“…Furthermore, the negative resistance shunt can generate a relative broadband damping effect. Yan et al [60,61] applied the negative impedance shunt to an electromagnetic absorber and discussed the multimodal vibration absorption of this shunt. The experimental results implied that the first three mode vibrations can be reduced by 15.11, 16.08, and 11.45 dB using negative resistance (NR) absorber, and 20.57, 21.75, and 15.33 dB amplitude reductions were achieved using negative inductance negative resistance (NINR) absorber.…”

Section: R R L I Scmentioning

confidence: 99%

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Shunt Damping Vibration Control Technology: A Review

Yan

Wang

et al. 2017

Applied Sciences

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Smart materials and structures have attracted a significant amount of attention for their vibration control potential in engineering applications. Compared to the traditional active technique, shunt damping utilizes an external circuit across the terminals of smart structure based transducers to realize vibration control. Transducers can simultaneously serve as an actuator and a sensor. Such unique advantage offers a great potential for designing sensorless devices to be used in structural vibration control and reduction engineering. The present literature combines piezoelectric shunt damping (PSD) and electromagnetic shunt damping (EMSD), establishes a unified governing equation of PSD and EMSD, and reports the unique vibration control performance of these shunts. The schematic of shunt circuits is given and demonstrated, and some common control principles and equations of these shunts are summarized. Finally, challenges and perspective of the shunt damping technology are discussed, and suggestions made based on the knowledge and experience of the authors.

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Section: Electromagnetic Transducermentioning

confidence: 99%

Section: R R L I Scmentioning

confidence: 99%

Shunt Damping Vibration Control Technology: A Review

Yan

Wang

et al. 2017

Applied Sciences

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“…Due to the controllable and varied physical properties of smart materials, they are also used for living infrastructures, mechanical structures, and seismic vibration controls for decades . Smart materials and structures that possess electromechanical characteristics have been widely used for active vibration control or semi-active vibration control, such as piezoelectric damper [4][5][6][7][8], eddy current damper [9], magnetostrictive spring [10], magneto-rheological fluid (MRF) damper [11][12][13], electro-rheological fluid (ERF) damper [14][15][16][17], shape memory alloy (SMA) [18][19][20][21], and electromagnetic and piezoelectric shunt damper [22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Smart materials have one or more properties changed by the external stimuli, such as temperature, stress, electric field or magnetic field.…”

Section: Introductionmentioning

confidence: 99%

Vibration Control Design for a Plate Structure with Electrorheological ATVA Using Interval Type-2 Fuzzy System

2017

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This study presents vibration control using actively tunable vibration absorbers (ATVA) to suppress vibration of a thin plate. The ATVA is made of a sandwich hollow structure embedded with electrorheological fluid (ERF). ERF is considered to be one of the most important smart fluids and it is suitable to be embedded in a smart structure due to its controllable rheological property. ERF's apparent viscosity can be controlled in response to the electric field and the change is reversible in 10 microseconds. Therefore, the physical properties of the ERF-embedded smart structure, such as the stiffness and damping coefficient, can be changed in response to the applied electric field. A mathematical model is difficult to be obtained to describe the exact characteristics of the ERF embedded ATVA because of the nonlinearity of ERF's viscosity. Therefore, a fuzzy modeling and experimental validations of ERF-based ATVA from stationary random vibrations of thin plates are presented in this study. Because Type-2 fuzzy sets generalize Type-1 fuzzy sets so that more modeling uncertainties can be handled, a semi-active vibration controller is proposed based on Type-2 fuzzy sets. To investigate the different performances by using different types of fuzzy controllers, the experimental measurements employing both type-1 fuzzy and interval type-2 fuzzy controllers are implemented by the Compact RIO embedded system. The fuzzy modeling framework and solution methods presented in this work can be used for design, performance analysis, and optimization of ATVA from varying harmonic vibration of thin plates.

show abstract

“…Due to the controllable and varied physical properties of smart materials, they are also used for living infrastructures and mechanical structures, and seismic vibration controls for decades . Smart materials and structures that possess electromechanical characteristics have been widely used for active vibration control or semi-active vibration control, such as piezoelectric damper [4][5][6][7][8], eddy current damper [9], magnetostrictive spring [10], magneto-rheological fluid (MRF) damper [11][12][13], electro-rheological fluid (ERF) damper [14][15][16][17], shape memory alloy (SMA) [18][19][20][21], electromagnetic and piezo-electrical shunt damper [22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Smart materials have one or more properties changed by the external stimuli, such as temperature, stress, electric or magnetic fields.…”

Section: Introductionmentioning

confidence: 99%

Vibration Control Design for a Plate Structure with Electrorheological ATVA Using Interval Type-2 Fuzzy System

Lin¹,

Lee²,

Liu³

2017

Preprint

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This study presents a vibration control using actively tunable vibration absorbers (ATVA) to suppress vibration of a thin plate. The ATVA's is made of a sandwich hollow structure embedded with the electrorheological fluid (ERF). ERF is considered to be one of the most important smart fluids and it is suitable to be embedded in a smart structure due to its controllable viscosity property.ERF's apparent viscosity can be controlled in response to the electric field and the change is reversible in 10 microseconds. Therefore, the physical properties of the ERF-embedded smart structure, such as the stiffness and damping coefficients, can be changed in response to the applied electric field. A mathematical model is difficult to be obtained to describe the exact characteristics of the ERF embedded ATVA because of the nonlinearity of ERF's viscosity. Therefore, a fuzzy modeling and experimental validations of ERF-based ATVA from stationary random vibrations of thin plates are presented in this study. Because Type-2 fuzzy sets generalize Type-1 fuzzy sets so that more modelling uncertainties can be handled, a semi-active vibration controller is proposed based on Type-2 fuzzy sets. To investigate the different performances by using different types of fuzzy controllers, the experimental measurements employing type-1 fuzzy and interval type-2 fuzzy controllers are implemented by the Compact RIO embedded system. The fuzzy modeling framework and solution methods presented in this work can be used for design, performance analysis, and optimization of ATVA from stationary random vibration of thin plates.

show abstract

Structural multimode vibration absorbing with electromagnetic shunt damping

Cited by 30 publications

References 30 publications

Shunt Damping Vibration Control Technology: A Review

Shunt Damping Vibration Control Technology: A Review

Vibration Control Design for a Plate Structure with Electrorheological ATVA Using Interval Type-2 Fuzzy System

Vibration Control Design for a Plate Structure with Electrorheological ATVA Using Interval Type-2 Fuzzy System

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