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Journal articles on the topic 'Smart Structures - Vibration Control'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Itoh, T., T. Shimomura, and H. Okubo. "2B15 Semi-active Vibration Control of Smart Structures with Sliding Mode Control." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _2B15–1_—_2B15–11_. http://dx.doi.org/10.1299/jsmemovic.2010._2b15-1_.

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2

Zhang, Ting, and Hongguang Li. "Adaptive modal vibration control for smart flexible beam with two piezoelectric actuators by multivariable self-tuning control." Journal of Vibration and Control 26, no. 7-8 (January 6, 2020): 490–504. http://dx.doi.org/10.1177/1077546319889842.

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It has been popular for decades that the vibrations of space structures are suppressed with smart actuators. However, the higher mode vibrations are often motivated when a control strategy is applied to attenuate the vibration for the smart structures. Moreover, if the multi-mode vibration of a smart structure is suppressed with multi-actuators, a proper multivariable control law will be adopted to solve the coupling problem caused by the multi-actuators of the smart structure. Therefore, in the paper, a decoupling technique for two modal vibrations of a smart flexible beam with two piezoelectric patches is adopted by adaptive control. The proposed control law is designed with a multivariable minimum variance self-tuning control. Considering the first two orders of modal vibrations, two piezoelectric patches are configured on the flexible beam according to the strain of the first two orders of modal vibrations along the longitudinal direction of the beam. A dynamical model for the flexible beam with two piezoelectric actuators is constructed by the mode superposition method. With the dynamical model, simulations are implemented to suppress the free vibration of the flexible beam. Moreover, experiments are carried out to verify the effectiveness of the multivariable minimum variance self-tuning control for vibration suppression of the flexible structure. The control results clearly show that the free vibration amplitude of the cantilevered beam with two control voltages applied to the two piezoelectric patches is less than that with one control voltage applied to the first piezoelectric actuator. Thus, multivariable minimum variance self-tuning control is a more efficient approach for suppressing multimodal vibration for a smart flexible beam with two piezoelectric actuators compared with the conventional velocity feedback control.

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3

Garg, Devendra P., and Gary L. Anderson. "Structural Damping and Vibration Control via Smart Sensors and Actuators." Journal of Vibration and Control 9, no. 12 (December 2003): 1421–52. http://dx.doi.org/10.1177/1077546304031169.

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In this paper we emphasize several advances recently made in the area of structural damping aimed towards reducing, and preferably eliminating, mechanical vibrations. First, a few commonly encountered undesirable effects of vibrations on structures are discussed. This is followed by an identification of research needs, and a discussion of typical research projects sponsored by the Structures and Dynamics Program of the United States Army Research Office towards meeting these needs. We include research projects in areas such as modeling of damping mechanisms, analysis and design of vibration absorbers, surface damping treatment of beams and similar other structures, and the use of magnetorheological and electrorheological fluids for vibration attenuation. Finally, we make recommendations for directions that are beneficial for future research in this area.

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4

Benjeddou, Ayech, Nazih Mechbal, and Jean-François Deü. "Smart structures and materials: Vibration and control." Journal of Vibration and Control 26, no. 13-14 (April 16, 2020): 1109. http://dx.doi.org/10.1177/1077546320923279.

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5

Khond, Vaibhav V., and Santosh D. Dalvi. "A Comprehensive Review on Applicability of Shape Memory Alloy Hybrid Composite Beam in Vibration Control." International Journal of Current Engineering and Technology 10, no. 01 (October 31, 2021): 53–61. http://dx.doi.org/10.14741/ijcet/v.10.1.10.

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Smart materials are used to construct smart structures, which can perform both sensing and actuation functions. Shape Memory Alloys are a kind of smart materials which can undergo solid-to-solid phase transformation and can recover completely when heated to a specific temperature. The Hybrid Composites that embedded with SMAs showing better results in vibration control. The trend in the aeronautical, mechanical and civil design requires lighter, stronger, and more flexible structures. However, light weight structures can be more easily influenced by unwanted vibrations, which may lead to the performance reduction, sometimes the system may even fail due to resonance, etc. This paper focuses on research work carried till now in the area of SMA hybrid composites and its applicability in vibration control.

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6

Choi, Seung Bok, and Jung Woo Sohn. "Vibration Control of Smart Structures Using Piezofilm Actuators." Key Engineering Materials 306-308 (March 2006): 1205–10. http://dx.doi.org/10.4028/www.scientific.net/kem.306-308.1205.

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This paper presents vibration control of a flexible smart beam structure using a new discrete-time sliding mode controller. After formulating the dynamic model in the space representation, so called the separation principle for equivalent controller is established so that the sliding mode conditions are satisfied. By doing this, undesirable chattering of the flexible structures can be attenuated in the settled phase. In order to demonstrate some benefits of the proposed methodology, an experimental realization is undertaken. Both transient and forced vibration control responses are evaluated in time domain and compared between with and without the separation principle.

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7

Yang, S. M., and G. S. Lee. "Vibration Control of Smart Structures by Using Neural Networks." Journal of Dynamic Systems, Measurement, and Control 119, no. 1 (March 1, 1997): 34–39. http://dx.doi.org/10.1115/1.2801211.

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Smart structure with build-in sensor(s) and actuator(s) that can actively and adoptively change its physical geometry and properties has been considered one of the best candidates in vibration control applications. Implementation of neural networks to system identification and vibration suppression of a smart structure is conducted in this paper. Three neural networks are developed, one for system identification, the second for on-line state estimation, and the third for vibration suppression. It is shown both in analysis and in experiment that these neural networks can identify, estimate, and suppress the vibration of a composite structure by the embedded piezoelectric sensor and actuator. The controller is also shown to be robust to system parameter variations.

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8

Moutsopoulou, A. J., A. T. Pouliezos, and G. E. Stavroulakis. "Modeling of Active Vibration Control in Smart Structures." Journal of Civil Engineering and Science 2, no. 2 (June 28, 2013): 48–61. http://dx.doi.org/10.5963/jces0202002.

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9

Amezquita-Sanchez, Juan Pablo, Aurelio Dominguez-Gonzalez, Ramin Sedaghati, Rene de Jesus Romero-Troncoso, and Roque Alfredo Osornio-Rios. "Vibration Control on Smart Civil Structures: A Review." Mechanics of Advanced Materials and Structures 21, no. 1 (September 16, 2013): 23–38. http://dx.doi.org/10.1080/15376494.2012.677103.

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10

Lee, In, Jin-Ho Roh, Seung-Man Yang, and Jae-Hung Han. "Shape and vibration control of smart composite structures." Advanced Composite Materials 14, no. 2 (January 2005): 121–30. http://dx.doi.org/10.1163/1568551053970690.

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11

Kalaycioglu, S., M. Giray, and H. Asmer. "Vibration Control of Flexible Manipulators Using Smart Structures." Journal of Aerospace Engineering 11, no. 3 (July 1998): 90–94. http://dx.doi.org/10.1061/(asce)0893-1321(1998)11:3(90).

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12

Nitzsche, F., and E. Breitbach. "Vibration control of rotary wings using smart structures." Smart Materials and Structures 3, no. 2 (June 1, 1994): 181–89. http://dx.doi.org/10.1088/0964-1726/3/2/014.

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13

Moutsopoulou, Amalia, Georgios E. Stavroulakis, Markos Petousis, Nectarios Vidakis, and Anastasios Pouliezos. "Smart Structures Innovations Using Robust Control Methods." Applied Mechanics 4, no. 3 (July 19, 2023): 856–69. http://dx.doi.org/10.3390/applmech4030044.

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This study’s goal is to utilize robust control theory to effectively mitigate structural oscillations in smart structures. While modeling the structures, two-dimensional finite elements are used to account for system uncertainty. Advanced control methods are used to completely reduce vibration. Complete vibration suppression is achieved using advanced control techniques. In comparison to traditional control approaches, Hinfinity techniques offer the benefit of being easily adaptable to issues with multivariate systems. It is challenging to simultaneously optimize robust performance and robust stabilization. One technique that approaches the goal of achieving robust performance in mitigating structural oscillations in smart structures is H-infinity control. H-infinity control empowers control designers by enabling them to utilize traditional loop-shaping techniques on the multi-variable frequency response. This approach enhances the robustness of the control system, allowing it to better handle uncertainties and disturbances while achieving desired performance objectives. By leveraging H-infinity control, control designers can effectively shape the system’s frequency response to enhance stability, tracking performance, disturbance rejection, and overall robustness.

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14

FUJITA, Takafumi. "Active Vibration and Noise Control. Active Vibration Control of Buildings with Smart Structures." Journal of the Japan Society for Precision Engineering 64, no. 5 (1998): 655–59. http://dx.doi.org/10.2493/jjspe.64.655.

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15

Zhang, Li, Shi Ming Ji, Yi Xie, and Qiao Ling Yuan. "Study of Active Vibration Control for Flexible Beam’s Vibration." Advanced Materials Research 69-70 (May 2009): 685–89. http://dx.doi.org/10.4028/www.scientific.net/amr.69-70.685.

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The attenuation of structure vibration is very slow when flexible strucure is stirred external force. It seriously affected the life of flexible structure. Smart structures used piezoelectric ceramics as actuators are an effective manner to solve the problem. This paper uses Fiber Bragg Grating (FBG) as sensors and piezoelectric ceramics as actuators to study the active vibration control for the resonance of the smart beam. Two groups of piezoelectric ceramics will be used for vibration exciter and vibration abatement, respectively. The fiber smart beam is excited to a sharp vibration nearby the particular resonance frequency by controlling the frequency of the vibration excitation. The vibration signal is measured by the FBG sensors and the close loop feedback control is fulfilled by the vibration abatement group, and the vibration amplitude of the fiber smart beam is abated. The experiment results show that the resonance amplitude of the beam is obviously abated by adjusting the frequency, amplitude and phase of the vibration abatement circuit.

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16

Sohn, J. W., H. S. Kim, and S. B. Choi. "Active vibration control of smart hull structures using piezoelectric actuators." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 220, no. 9 (September 1, 2006): 1329–37. http://dx.doi.org/10.1243/09544062c06105.

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In this study, dynamic characteristics of an end-capped hull structure with surfacebonded piezoelectric actuators are studied and active vibration controller is designed to suppress the undesired vibration of the structure. Finite-element modelling is used to obtain practical governing equation of motion and boundary conditions of smart hull structure. A modal analysis is conducted to investigate the dynamic characteristics of the hull structure. Piezoelectric actuators are attached where the maximum control performance can be obtained. Active controller on the basis of a linear quadratic Gaussian (LQG) theory is designed to suppress the vibration of smart hull structure. It is observed that closed-loop damping can be improved with suitable weighting factors in the developed LQG controller and the structural vibration can be successfully suppressed.

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17

Wang, She Liang, Zhuo Chen, Yu Jiang Fan, and Qian Ying Ma. "The Research of Anti-Seismic Control Experiments of Spatial Reticulated Shell Structures." Applied Mechanics and Materials 121-126 (October 2011): 3617–21. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.3617.

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The large spatial reticulated structures belong to vibration and defects sensitive structures when vibrations will be easily produced under dynamic loading actions, and dynamic failure accidents will be caused. The application of the piezoelectric smart material in structural vibration control was researched with the shaking table test of active seismic control simulation of the spatial reticulated shell model structure.The results show that the piezoelectric actuators optimally arranged can effectively decrease earthquake responses of the structure, so it is a good active seismic control method.

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18

Li, Jie, Li Li Hu, Li Qin, Jun Liu, Rui Ping Tao, and Xi Ning Yu. "Dynamic Analysis of Piezoelectric Smart Structures." Advanced Materials Research 295-297 (July 2011): 1353–56. http://dx.doi.org/10.4028/www.scientific.net/amr.295-297.1353.

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In order to solve the active vibration control of piezoelectric smart structures, focus problems on the structural analysis of the dynamic characteristics. To piezoelectric smart structure for the research object, finite element modal analysis, solving the natural frequency and response characteristics. Firstly, analyzed the problems of structural eigenvalues and eigenvectors problems, then prepared dynamic response analysis program of FEM based on MATLAB, and complete the theoretical model calculations. At the same time, using ANSYS software to simulate and analyze, theresults show that, ANSYS simulation result is consistent with the theoretical value, so as to study the piezoelectric active vibration control of smart structures and lay a good foundation.

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19

Wang, Peng, Anton Korniienko, Xavier Bombois, Manuel Collet, Gérard Scorletti, Ellen Skow, Chuhan Wang, and Kévin Colin. "Active vibration control in specific zones of smart structures." Control Engineering Practice 84 (March 2019): 305–22. http://dx.doi.org/10.1016/j.conengprac.2018.12.005.

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20

KAJIWARA, Itsuro, and Ryo TSUCHIYA. "Vibration Control of Smart Structures with Dynamic Characteristic Variation." Journal of System Design and Dynamics 2, no. 1 (2008): 413–24. http://dx.doi.org/10.1299/jsdd.2.413.

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21

Kumar, Rajiv, S. P. Singh, and H. N. Chandrawat. "Adaptive vibration control of smart structures: a comparative study." Smart Materials and Structures 15, no. 5 (August 24, 2006): 1358–69. http://dx.doi.org/10.1088/0964-1726/15/5/025.

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22

Chen, Y., V. Wickramasinghe, and D. G. Zimcik. "DEVELOPMENT OF SMART STRUCTURE SYSTEMS FOR HELICOPTER VIBRATION AND NOISE CONTROL." Transactions of the Canadian Society for Mechanical Engineering 31, no. 1 (March 2007): 39–56. http://dx.doi.org/10.1139/tcsme-2007-0003.

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Helicopters are susceptible to high vibratory loads, excessive noise levels and poor flight stability compared to fixed-wing aircraft. The multidisciplinary nature of helicopter structures offers many opportunities for the innovative smart structure technology to improve helicopter performance. This paper provides a review of smart structures research at the National Research Council Canada for helicopter vibration and cabin noise control applications. The patented Smart Spring approach is developed to vary the blade impedance properties adaptively to reduce the vibratory hub loads transmitted to the fuselage by vibration reduction at the source. A smart gearbox strut and active structural acoustic control technologies are investigated to suppress the vibration and tonal gear meshing noise into the cabin either by modifying the vibration load transmission path, or weakening the coupling between exterior and cabin acoustic fields. Two adaptive seat mount concepts are proposed to reduce the vibration of the aircrew directly to improve ride quality of the vehicle.

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23

Jiang, Jian-Ping, and Dong-Xu Li. "Decentralized Robust Vibration Control of Smart Structures with Parameter Uncertainties." Journal of Intelligent Material Systems and Structures 22, no. 2 (January 2011): 137–47. http://dx.doi.org/10.1177/1045389x10391496.

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This study deals with decentralized robust vibration control of a smart composite panel with parameter uncertainties. The composite panel with four collocated piezoelectric actuators and velocity sensors is modeled using finite element method, and then the size of the model is reduced in the state space using Modal Hankel Singular Value. The parameter uncertainties presented by natural frequencies and modal damping ratios are considered in controller design process. To suppress the vibration induced by external disturbance, a decentralized robust H∞ controller is developed using linear matrix inequality techniques. Numerical simulation for the smart panel is performed in order to investigate the effectiveness of decentralized vibration control (DVC). When the system is subjected to an initial displacement field or distributed white noise disturbance, numerical results show that the DVC system is very effective. Although there are 20% parameter uncertainties for modal frequencies, damping ratio, and control input, the decentralized controller can effectively suppress the vibration excited by the external disturbance. Furthermore, the decentralized controller composed of four three-order systems can be practically implemented well.

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24

Ray, Laura R., Bong-Hwan Koh, and Lei Tian. "Damage Detection and Vibration Control in Smart Plates: Towards Multifunctional Smart Structures." Journal of Intelligent Materials Systems and Structures 11, no. 9 (September 1, 2000): 725–39. http://dx.doi.org/10.1177/104538900772663946.

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25

Li, Zhijun, and Hojjat Adeli. "Control methodologies for vibration control of smart civil and mechanical structures." Expert Systems 35, no. 6 (November 6, 2018): e12354. http://dx.doi.org/10.1111/exsy.12354.

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26

ITOH, Takuji, Takashi SHIMOMURA, and Hiroshi OKUBO. "Semi-Active Vibration Control of Smart Structures with Sliding Mode Control." Journal of System Design and Dynamics 5, no. 5 (2011): 716–26. http://dx.doi.org/10.1299/jsdd.5.716.

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27

Nestorovic, Tamara, and Miroslav Trajkov. "Active control of smart structures - an overall approach." Facta universitatis - series: Architecture and Civil Engineering 8, no. 1 (2010): 35–44. http://dx.doi.org/10.2298/fuace1001035n.

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The paper presents active control of smart structures within a focused frame of piezoelectric applications in active vibration and noise attenuation with potentials for the use in mechanical and civil engineering. An overall approach to active control of piezoelectric structures involves subsequent steps of modeling, control, simulation, experimental verification and implementation. Each of these steps is regarded in details. Different application examples showing the feasibility of the active structural control will be presented.

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28

Xu, Rui, DongXu Li, Jianping Jiang, and Jie Zou. "Decentralized adaptive fuzzy vibration control of smart gossamer space structure." Journal of Intelligent Material Systems and Structures 28, no. 12 (February 23, 2017): 1670–81. http://dx.doi.org/10.1177/1045389x16679023.

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Gossamer space structures technology have gained widely applications in space missions. However, the vibration problem is a great challenge which makes the technology complicated. The overall motivation of this work is to develop a vibration control system for gossamer space structures. In this study, a space membrane structure with piezoelectric stack actuators bracketed on its support frame is considered. First, the description of the smart space membrane structure and its dynamic model are presented. Then, a decentralized adaptive fuzzy control method is developed to control the structure vibration. Finally, experimental system is built up, and two vibration control experiment cases are carried out to verify the proposed control method. Experimental results demonstrate that the proposed control method is more effective than the fuzzy control method.

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29

Malgaca, L., and H. Karagülle. "Numerical and Experimental Study on Integration of Control Actions into the Finite Element Solutions in Smart Structures." Shock and Vibration 16, no. 4 (2009): 401–15. http://dx.doi.org/10.1155/2009/246419.

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Piezoelectric smart structures can be modeled using commercial finite element packages. Integration of control actions into the finite element model solutions (ICFES) can be done in ANSYS by using parametric design language. Simulation results can be obtained easily in smart structures by this method. In this work, cantilever smart structures consisting of aluminum beams and lead-zirconate-titanate (PZT) patches are considered. Two cases are studied numerically and experimentally in parallel. In the first case, a smart structure with a single PZT patch is used for the free vibration control under an initial tip displacement. In the second case, a smart structure with two PZT patches is used for the forced vibration control under harmonic excitation, where one of the PZT patches is used as vibration generating shaker while the other is used as vibration controlling actuator. For the two cases, modal analyses are done using chirp signals; Control OFF and Control ON responses in the time domain are obtained for various controller gains. A non-contact laser displacement sensor and strain gauges are utilized for the feedback signals. It is observed that all the simulation results agree with the experimental results.

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30

Yeo, H. C., N. Guo, H. Du, and M. Chen. "Active Vibration Control of the Print Circuit Boards Using Piezoelectric Bimorphs." Key Engineering Materials 334-335 (March 2007): 1081–84. http://dx.doi.org/10.4028/www.scientific.net/kem.334-335.1081.

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Piezoelectric bimorphs were assessed for their capabilities to be used as control actuators for vibration suppression of the print circuit boards (PCBs). Plate structures made of FR-4, a widely used industrial-grade material for manufacture of PCBs, were considered. An advanced and structured control algorithm, linear quadratic regulator with output feedback (LQROF), was used for active vibration control of the PCB structures. Experimental results showed that the LQROF control is a more robust algorithm than the classic control using the direct velocity feedback, and piezoelectric bimorph actuators present a great potential for active vibration control of the PCBs, and smart composites with embedded actuators.

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31

Nestorovic, Tamara. "Active control of mechanical structures in research and education." Theoretical and Applied Mechanics 40, no. 2 (2013): 203–21. http://dx.doi.org/10.2298/tam1302203n.

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Several crucial phases of the overall approach to development and design of smart structures are outlined in this paper. They are focused on control of lightweight mechanical structures with respect to active vibration and noise attenuation using piezoelectric actuators and sensors. The research experience and growing interest in development of smart structures have motivated introduction of courses on smart structures at universities, which are being studied extensively and with great interest by young researchers and students. Some of the author?s experiences regarding education in this field will be addressed as well.

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32

Zenkour, Ashraf M., and Hela D. El-Shahrany. "Active control of a sandwich plate with reinforced magnetostrictive faces and viscoelastic core, resting on elastic foundation." Journal of Intelligent Material Systems and Structures 33, no. 10 (December 15, 2021): 1321–37. http://dx.doi.org/10.1177/1045389x211053047.

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The current study presents a vibration investigation of a laminated plate considering a viscoelastic core with embedded magnetostrictive layers. The simply-supported plate is supported via Pasternak’s substrate medium. Based on different plate theories and employing Hamilton’s principle, the system of governing differential equations is derived. The mechanical properties of the viscoelastic core are described depend on the time varies based on Kelvin–Voigt model. Actuating magnetostrictive layers are utilized to control the vibration damping process of the system with the assistance of feedback and constant gain distributed control. The analytical solution is obtained to investigate the influence of half wave numbers, thickness ratios, core thickness, aspect ratios, lamination schemes, elastic foundation parameters, damping coefficient, feedback coefficient magnitude, magnetostrictive layers location, on the vibrational behavior of laminated plate. Some observations about the vibration damping process of the present plate are displayed. The results refer to that the vibration suppression rate depends on the thickness of the plate, the feedback control value, the foundation constants, and the viscoelastic structural damping significantly. Moreover, the study can be providing benchmark tests to validate future contributions on the viscoelastic smart structural issues and developing the design of smart viscoelastic structures and control of their vibrations.

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33

Qu, Jun Tian, Xiao Yang, and Yu Chen Xiao. "Dual PD Control of Flexible Smart Structure Based on LQR Algorithm." Applied Mechanics and Materials 437 (October 2013): 634–38. http://dx.doi.org/10.4028/www.scientific.net/amm.437.634.

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The flexible smart structure is broadly applied in various fields. In order to reduce the vibration of smart structures, a dual loop PD control strategy is proposed based on the Lagrangian dynamics mathematical modeling of the flexible system and a revision of the traditional LQR algorithm, the simulation and physical experiments show that the proposed approach is efficient in controlling and damping out the vibration and disturbance in flexible smart structure system.

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34

Momeni, Z., and A. Bagchi. "Intelligent Control Methodology for Smart Highway Bridge Structures Using Optimal Replicator Dynamic Controller." Civil Engineering Journal 9, no. 1 (January 1, 2023): 1–16. http://dx.doi.org/10.28991/cej-2023-09-01-01.

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Control algorithms are an essential part of effective semi-active vibration control systems used for the protection of large structures under dynamic loading. Adaptive control algorithms, which are data-driven methods, have recently been developed to replace model-based control algorithms, thus improving efficiency. The dynamic parameters of semi-actively controlled infrastructures will change after significant vibration loading. As a result, these structures require real-time, effective control actions in response to changing conditions, which classical controllers are unable to provide. To improve the efficiency of the semi-active controller, the optimal control algorithm was developed in this study. The algorithm is the integration of the replicator dynamics with an improved non-dominated sorting genetic algorithm (NSGA), which is NSGA-II. The optimal parameters of replicator dynamics (total resources, growth rate, and fitness function), which represent the behavior of the actuators, were obtained through a multi-objective optimization process. The new control system was then used to reduce the vibrations of the isolated highway bridge, which is equipped with semi-active control devices known as MR dampers. Moreover, the current study improved the performance of the structural control system with minimum energy consumption by assigning a specific growth rate to each control device. In order to reduce the vibrations of the highway bridge, the results show that the performance of the optimal replicator controller is better than the performance of the classical control algorithms. Doi: 10.28991/CEJ-2023-09-01-01 Full Text: PDF

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35

Salmasi, H., R. Fotouhi, and P. N. Nikiforuk. "Vibration Control of a Flexible Link Manipulator Using Smart Structures." IFAC Proceedings Volumes 41, no. 2 (2008): 11787–92. http://dx.doi.org/10.3182/20080706-5-kr-1001.01996.

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36

Karagülle, H., L. Malgaca, and H. F. Öktem. "Analysis of active vibration control in smart structures by ANSYS." Smart Materials and Structures 13, no. 4 (May 19, 2004): 661–67. http://dx.doi.org/10.1088/0964-1726/13/4/003.

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37

ONO, Kimiaki, and Itsuro KAJIWARA. "635 Vibration Control of Smart Structures with Disturbance Characteristic Variation." Proceedings of the Dynamics & Design Conference 2007 (2007): _635–1_—_635–6_. http://dx.doi.org/10.1299/jsmedmc.2007._635-1_.

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38

KATAOKA, Takahito, Masayuki AOU, and Itsuro KAJIWARA. "636 Vibration Control Method of Smart Structures Using Positive Real." Proceedings of the Dynamics & Design Conference 2007 (2007): _636–1_—_636–6_. http://dx.doi.org/10.1299/jsmedmc.2007._636-1_.

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39

Mahato, P. K., and D. K. Maiti. "Active vibration control of smart composite structures in hygrothermal environment." Structural Engineering and Mechanics 44, no. 2 (October 25, 2012): 127–38. http://dx.doi.org/10.12989/sem.2012.44.2.127.

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40

Zhang, S. Q., and R. Schmidt. "LQR Control for Vibration Suppression of Piezoelectric Integrated Smart Structures." PAMM 12, no. 1 (December 2012): 695–96. http://dx.doi.org/10.1002/pamm.201210336.

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41

Kumar, Rajiv, S. P. Singh, and H. N. Chandrawat. "Multivariable adaptive vibration control of smart structures using iterative (LQG) control strategies." Smart Materials and Structures 14, no. 5 (September 2, 2005): 953–62. http://dx.doi.org/10.1088/0964-1726/14/5/033.

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42

Kamada, Takayoshi, Takafumi Fujita, Takayoshi Hatayama, Takeo Arikabe, Nobuyoshi Murai, Satoru Aizawa, and Kohtaro Tohyama. "Active vibration control of frame structures with smart structures using piezoelectric actuators (Vibration control by control of bending moments of columns)." Smart Materials and Structures 6, no. 4 (August 1, 1997): 448–56. http://dx.doi.org/10.1088/0964-1726/6/4/009.

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43

Tairidis, Georgios K. "Vibration control of smart composite structures using shunted piezoelectric systems and neuro-fuzzy techniques." Journal of Vibration and Control 25, no. 18 (June 9, 2019): 2397–408. http://dx.doi.org/10.1177/1077546319854588.

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Shunt piezoelectric circuits can be used in several combinations for passive control of smart structures. Resonant shunt circuits with resistors and inductors can control resonant frequencies, by consuming the energy produced from vibrations by passing it to electric components. Such systems are very efficient for single-mode problems; however, when it comes to multi-mode control, their performance drastically deteriorates. The purpose of the present study is the development of optimized resonant shunt piezoelectric circuits, along with an intelligent control system based on adaptive neuro-fuzzy techniques, for vibration suppression of smart composite structures. Shunt circuits are pre-tuned to the first four eigenfrequencies and a neuro-fuzzy control system is developed and used for the activation of the suitable shunt circuit, each time, providing the necessary adaptivity to the whole system.

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Wang, Jiqiang. "Active Restricted Control for Harmonic Vibration Suppression." International Journal of Structural Stability and Dynamics 19, no. 12 (December 2019): 1971007. http://dx.doi.org/10.1142/s021945541971007x.

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Active control systems are always restricted in one form or another. One of the restrictions is the lack of sensors or actuators for control implementation. This restricted control problem in the form of partial sensing and actuation thus poses a challenging problem for active controls, since most of the existing approaches make the implicit assumption that such information is readily available. This paper discusses the possibility of controlling structural vibration using restricted sensing and actuation control methodology. This opens a new avenue that, although counter to the current development in active control system designs through smart materials and smart structures, is readily applicable in practice. A number of fundamental results are derived concerning the active restricted controller properties, while algorithms are presented for the implementation. A case study is also provided, which demonstrates the feasibility of active restricted vibration control solutions.

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Kim, Myung Hyun, Sung Won Kang, Jae Myung Lee, and Daniel J. Inman. "Simultaneous Health Monitoring and Vibration Control of Structures Using Smart Materials." Key Engineering Materials 297-300 (November 2005): 2207–12. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2207.

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Large welded structures, including ships and offshore structures, are normally in operation under cyclic fatigue loadings. These structures include many geometric as well as material discontinuities due to weld joints, and the fatigue strength at these hot spots is very important for the structural performance. In the past, various Non-Destructive Evaluation (NDE) techniques have been developed to detect fatigue cracks and to estimate their location and size. However, an important limitation of most of the existing NDE methods is that they are off-line; the normal operation of the structure has to be interrupted and the device often has to be disassembled. In this study, a new impedance-based structural health monitoring system employing piezoceramic transducers is developed with a special interest in applying the technique for welded structural members in ship and offshore structures. In particular, the impedance-based structural health monitoring technique that employs the coupling effect of piezoceramic (PZT) materials and structures is investigated.

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Leng, Jinsong, A. Asundi, and Yanju Liu. "Vibration Control of Smart Composite Beams with Embedded Optical Fiber Sensor and ER Fluid." Journal of Vibration and Acoustics 121, no. 4 (October 1, 1999): 508–9. http://dx.doi.org/10.1115/1.2894011.

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This paper proposes the use of a fiber optic sensor (FOS) and electrorheological (ER) fluid actuator for vibration monitoring of smart composite structures. A new intensity modulated fiber optic vibration sensor is developed following the face coupling theory. It has high sensitivity similar to the traditional piezoelectric sensor. Also it is lower in cost. The experiment of vibration control of smart composite beam with embedded intensity modulated optical fiber vibration sensor and ER fluids are described in this paper. It is noted that the most significant change in the structural properties of smart composite beam is the change of structural damping and natural frequency, which varies with the electric field intensity imposed upon ER fluid. So the structural vibration can be monitored and controlled effectively utilizing FOS and ER fluids.

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Bhatti, J. S., and R. A. Pasha. "Finite Element Based Design of Piezoelectric Vibration Damper." Key Engineering Materials 442 (June 2010): 431–37. http://dx.doi.org/10.4028/www.scientific.net/kem.442.431.

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Vibration control using combination of piezoelectric material and electrical circuits can remove the vibration energy from the host structure. The need for passive damping techniques arises to avoid the complexities and energy requirements associated with other vibration control techniques. Passive damping technique for reduction of vibration of structures by introduction of shunted piezoelectric patch is presented in this study. Finite element analysis is performed for a cantilever beam with shunted piezoelectric patch on it. The prediction of the model is validated against experimental published results. The obtained results demonstrate the feasibility of using piezoelectric patches with passive shunting as effective means for damping out the vibrations. The aim of this research work is the advancement of the coupled field analysis for structural vibration control with advanced methodology and to promote the design and analysis activities in the field of passive vibration control techniques using smart structures. Results obtained showed up to 86% reduction in the amplitude of the host structure which shows good agreement with published experimental results.

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Akbarzadeh, Alireza, Mohsen Fallah, Navid Mahpeykar, and Nader Nabavi. "Application of Taguchi Optimization Method in Active Vibration Control of a Smart Beam." Advanced Materials Research 488-489 (March 2012): 1777–82. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1777.

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Cantilevered beams can serve as a basic model for a number of structures used in various fields of industry, such as airplane wings, turbine blades and robotic manipulator arms.In this paper, the active vibration control of a smart cantilevered beam with a piezoelectric patch is studied. Additionally, the optimization of influential parameters of piezoelectric actuator for the purpose of vibration suppression is performed. Initially, the finite element modeling of the cantilevered beam and its piezoelectric patch is described and the implementation of a control system for vibration suppression is introduced. Transient response of the system under impact loading, with and without controller, is simulated using ANSYS. Taguchi’s design of experiments method is used to investigate the effect of five geometric parameters on the vibrational behavior of the system. It is shown that, optimal selection of levels for geometry of the piezoelectric actuator and sensor, can dramatically improve the dynamic response of the smart beam.

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Debattisti, Nicola, Simone Cinquemani, and Federico Zanelli. "Automatic Decentralized Vibration Control System Based on Collaborative Stand-Alone Smart Dampers." Applied Sciences 13, no. 6 (March 7, 2023): 3406. http://dx.doi.org/10.3390/app13063406.

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In many structures, undesired noise and vibrations generated by external sources represent a huge problem in terms of structural damage and comfort. Active vibration absorbers can be used to dynamically suppress vibrations, by increasing the damping of the system. A wireless smart active damper has been developed to perform this task and some automated functionalities have been implemented to perform the identification of the structure on which it is mounted on. The sharing of information between wireless sensors represents one of the most interesting features of this kind of control system. In this work, a procedure to estimate the nondimensional damping and modal amplitude for each wireless sensor location and each vibration mode is studied. Then, the information obtained by each sensor in the identification phase are used to implement a coordinated control strategy, which is based on a modified version of the Efficient Modal Control (EMC). Such control strategy implements the low level Selective Negative Derivative Feedback control law and modulates the control gains of each actuator and controlled mode pair in order to get an effective vibration reduction. The tuning procedure represents the next step of the algorithm, in which the evaluation of the introduced damping and the maximum applicable gains are derived; finally, the proposed solution is validated with experimental results on a simply-supported beam.

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Lin, Chi-Ying, and Chih-Ming Chang. "Hybrid proportional derivative/repetitive control for active vibration control of smart piezoelectric structures." Journal of Vibration and Control 19, no. 7 (March 12, 2012): 992–1003. http://dx.doi.org/10.1177/1077546312436749.

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