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Number of results: 16
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Abstract

In the paper, the authors discuss the possibility to apply the "Nodalised Beam" method for vibroinsulation of manually operated tools. They indicate the difficulties in applying the original method for this purpose. On the bases of the reciprocity principle, the authors propose a method for modifying the system that allows them to avoid the mentioned disadvantages. Equations derived for the modified system that makes it possible to define the position of nodal points. The relations were verified at a test station. Furthermore, a method of tuning the system was proposed.
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Authors and Affiliations

Leszek Majkut
Jerzy Michalczyk
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Abstract

The paper introduces a new design of a platform mechanism with 6 DOF. The platform is supported on three active legs, each equipped with two rotating drives. The mechanism can be used in active vibration control systems. The values of drive angular velocities are precisely controlled, so that the transmission of the base vibrations onto the platform could be minimal. The values of drive torques to be generated are determined. The mechanism was modelled using the Working Model® 30. The effects of active vibration control are also presented.
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Authors and Affiliations

Grzegorz Tora
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Abstract

In the paper, the authors describe and solve the problem of optimum control of selected vibration forms in mechanical systems. Two illustrative examples have been used to present the procedure for determination of the optimum controller coefficients.

In the first example, a simplified mechanical system is considered, while in the second one – a rotor with magnetic bearing. In both cases, the integral performance indices have been defined in order to minimize the vibration level at selected points of the structures.

The system with the magnetic bearing is structurally unstable. For this reason, the authors present the way of finding the weight coefficients of integral performance index for unstable, multi-degrees-of-freedom system. In that way, the selected modal forms attain the previously assumed dynamic properties and the performance index takes the minimum value. The results of numerical analysis show that the proposed way is efficient and makes it possible to control selected forms of vibration in the system.

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Authors and Affiliations

Edmund Wittbrodt
Rafał Hein
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Abstract

In this paper, the authors consider the influence of axial load on the stability of shells of revolution subjected to external pressure. Shells of different geometry are investigated with emphasis to barrelled shells. The variable quantities are length L and meridional radius of curvature R1 of a shell. The constant parameters are: thickness of the shell h, mass ms and reference radius r0. The material of shells is steel. Numerical calculations were performed in the ABAQUS system. All the shells considered in this paper were subjected to axial compression to determine the force corresponding to the loss of stability in such conditions. A part of this force is then used to preload shell before the buckling analysis in the conditions of external pressure is started. The buckling shapes for shells of different geometry are presented with and without the influence of axial load. The ability of controlling the buckling strength and shape is discussed.

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Authors and Affiliations

Paweł Jasion
Krzysztof Magnucki
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Abstract

A gyroscopic rotor exposed to unbalance is studied and controlled with an active piezoelectrical bearing. A model is required in order to design a suited controller. Due to the lack of related publications utilizing piezoelectrical bearings and obtaining a modal model purely exploiting experimental modal analysis, this paper reveals a method to receive a modal model of a gyroscopic rotor system with an active piezoelectrical bearing. The properties of the retrieved model are then incorporated into the design of an originally model-free control approach for unbalance vibration elimination, which consists of a simple feedback control and an adaptive feedforward control. After the discussion on the limitations of the model-free control, a modified controller using the priorly identified modal model is implemented on an elementary rotor test-rig comparing its performance to the original model-free controller.
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Bibliography

  1.  A.B. Palazzolo, R.R. Lin, R.M. Alexander, A.F. Kascak, and J. Montague, “Test and theory for piezoelectric actuator-active vibration control of rotating machinery,” J. Vib. Acoust., vol.  113, no. 2, 1991. doi: 10.1115/1.2930165.
  2.  R. Köhler, C. Kaletsch, M. Marszolek, and S. Rinderknecht, “Active vibration damping of engine rotor considering piezo electric self heating effects,” in International Symposium on Air Breathing Engines 2011 (ISABE 2011), Gothenburg, Sep. 2011.
  3.  M. Borsdorf, R.S. Schittenhelm, and S. Rinderknecht, “Vibration reduction of a turbofan engine high pressure rotor with piezoelectric stack actuators,” in Proceedings of the International Symposium on Air Breathing Engines 2013 (ISABE 2013), Busan, 2013.
  4.  R.C. Simões, V. Steffen, J. Der Hagopian, and J. Mahfoud, “Modal active vibration control of a rotor using piezoelectric stack actuators,” Vib. Control, vol. 13, no. 1, pp. 45–64, Jan. 2007. doi: 10.1177/1077546306070227.
  5.  B. Riemann, M.A. Sehr, R.S. Schittenhelm, and S. Rinderknecht, “Robust control of flexible high-speed rotors via mixed uncertainties,” in 2013 European Control Conference (ECC). Zürich: IEEE, Jul. 2013, pp. 2343–2350. doi: 10.23919/ ECC.2013.6669786.
  6.  F.B. Becker, M.A. Sehr, and S. Rinderknecht, “Vibration isolation for parameter-varying rotor systems using piezoelectric actuators and gain-scheduled control,” J. Intell. Mater. Syst. Struct., vol. 28, no. 16, pp. 2286–2297, Sep. 2017. doi: 10.1177/1045389X17689933.
  7.  M. Li, T.C. Lim, and W.S. Shepard, “Modeling active vibration control of a geared rotor system,” Smart Mater. Struct., vol.  13, no. 3, pp. 449–458, Jun. 2004. doi: 10.1088/0964- 1726/13/3/001.
  8.  Y. Suzuki and Y. Kagawa, “Vibration control and sinusoidal external force estimation of a flexible shaft using piezoelectric actuators,” Smart Mater. Struct., vol. 21, no. 12, Dec. 2012. doi: 10.1088/0964-1726/21/12/125006.
  9.  O. Lindenborn, B. Hasch, D. Peters, and R. Nordmann, “Vibration reduction and isolation of a rotor in an actively supported bearing using piezoelectric actuators and the FXLMS algorithm,” in 9th International Conference on Vibrations in Rotating Machinery, Exeter, Sep. 2008.
  10.  R.S. Schittenhelm, S. Bevern, and B. Riemann, “Aktive Schwingungsminderung an einem gyroskopiebehafteten Rotorsystem mittels des FxLMS-Algorithmus,” in SIRM 2013 – 10. Internationale Tagung Schwingungen in rotierenden Maschinen, Berlin, Deutschland, Feb. 2013.
  11.  S. Heindel, P.C. Müller, and S. Rinderknecht, “Unbalance and resonance elimination with active bearings on general rotors,” J. Sound Vib., vol. 431, pp. 422–440, Sep. 2018. doi: 10.1016/j.jsv.2017.07.048.
  12.  B. Vervisch, K. Stockman, and M. Loccufier, “A modal model for the experimental prediction of the stability threshold speed,” Appl. Math. Modell., vol. 60, pp. 320–332, Aug. 2018. doi: 10.1016/j.apm.2018.03.020.
  13.  S. Kuo and D. Morgan, “Active noise control: a tutorial review,” Proc. IEEE, vol. 87, no. 6, pp. 943–975, Jun. 1999. doi: 10.1109/5.763310.
  14.  J. Jiang and Y. Li, “Review of active noise control techniques with emphasis on sound quality enhancement,” Appl. Acoust., vol. 136, pp. 139–148, Jul. 2018. doi: 10.1016/j.apacoust. 2018.02.021.
  15.  L.P. de Oliveira, B. Stallaert, K. Janssens, H. Van der Auweraer, P. Sas, and W. Desmet, “NEX-LMS: A novel adaptive control scheme for harmonic sound quality control,” Mech. Syst. Signal Process., vol. 24, no. 6, pp. 1727–1738, Aug. 2010. doi: 10.1016/j.ymssp.2010.01.004.
  16.  S.S. Narayan, A.M. Peterson, and M.J. Narasimha, “Transform domain LMS algorithm,” IEEE Trans. Acoust. Speech Signal Process., vol. 31, no. 3, pp. 609–615, Jun. 1983.
  17.  J. Jungblut, D.F. Plöger, P. Zech, and S. Rinderknecht, “Order tracking based least mean squares algorithm,” in Proceedings of 8th IFAC Symposium on Mechatronic Systems MECHATRONICS 2019, Vienna, Sep. 2019, pp. 465–470.
  18.  J. Jungblut, C. Fischer, and S. Rinderknecht, “Supplementary data: Active vibration control of a gyroscopic rotor using experimental modal analysis,” 2020. [Online]. doi: 10.48328/tudatalib-572.
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Authors and Affiliations

Jens Jungblut
1
ORCID: ORCID
Christian Fischer
1
ORCID: ORCID
Stephan Rinderknecht
1
ORCID: ORCID

  1. Institute for Mechatronic Systems, Technical University Darmstadt, 64287, Germany
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Abstract

The problems of mathematical modelling of vibration signal for bearings with specific geometrical structure or defect is important insofar as there are no model bearings (to facilitate carrying out a calibration procedure for industrial measurement systems). It is even more so that there are no precise reference systems to which we would compare the results. This article presents a general outline of the most important studies on modelling of vibrations in rolling bearings. Papers constituting the basis for the most recent studies and a review of articles from the past few years have been considered here. Five different models have been analyzed in detail in order to show the directions of the latest studies. Completed analysis presents different viewpoints on the issue of modelling a rolling bearing operation. This overview article makes it possible to derive the final conclusion that in order to include all factors affecting bearing vibrations, even those ignored in the most recent models, it is necessary to carry out practical statistical research including the principles of multicriteria statistics. This approach will facilitate developing a versatile model, also applicable to predicting vibrations of a new bearing just manufactured in a factory.

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Authors and Affiliations

M. Wrzochal
S. Adamczak
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Abstract

The nonlinear mathematical model of behavior of controllable viscosity fluid (CVF) under applied external field is presented. A large family of these fluids is commonly used to control responding forces of dampers in vibration control applications. The responding force of a damper with CVF has two components. The first one - uncontrollable - is proportional to the viscosity of a base fluid and velocity of its motion, the second one, which is controllable, depends on the strength of the applied external field. Both are involved in the process of dissipation of unwanted energy from the vibrating systems. An equivalent damping factor based on the principle of energy dissipated during one cycle of damper work under a constant strength external field was calculated. When mass or stiffness is variable the equivalent damping factor can be set accordingly by adjusting the strength of external field to have vibrating damped system purposely/continuously working in the critical or other chosen state. This paper also presents cases of applying periodically changing strengths of an external field synchronized with cycles of periodical motion of the vibrating system to continuously control the damping force within each cycle.
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Authors and Affiliations

Marek L. Szary
Peter Weber
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Abstract

A gyroscopic rotor exposed to unbalance and internal damping is controlled with an active piezoelectrical bearing in this paper. The used rotor test-rig is modelled using an FEM approach. The present gyroscopic effects are then used to derive a control strategy which only requires a single piezo actuator, while regular active piezoelectric bearings require two. Using only one actuator generates an excitation which contains an equal amount of forward and backward whirl vibrations. Both parts are differently amplified by the rotor system due to gyroscopic effects, which cause speed-dependent different eigenfrequencies for forward and backward whirl resonances. This facilitates eliminating resonances and stabilize the rotor system with only one actuator but requires two sensors. The control approach is validated with experiments on a rotor test-rig and compared to a control which uses both actuators.
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Authors and Affiliations

Jens Jungblut
1
ORCID: ORCID
Daniel Franz
1
Christian Fischer
1
ORCID: ORCID
Stephan Rinderknecht
1
ORCID: ORCID

  1. Institute for Mechatronic Systems, Technical University Darmstadt, 64287, Germany
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Abstract

Considering the importance of gear systems as one of the important vibration and noise sources in power transmission systems, an active control for suppressing gear vibration is presented in this paper. A gear bearing model is developed and used to design an active control gear-bearing system. Two possible configurations of control system are designed based on active bearing and active gear-shaft torsional coupling to control and reduce the disturbance affecting system components. The controller for computing the actuation force is designed by using the H-infinity control approach. Simulation results indicate that the desired controller can efficiently be used for vibration control of gear bearing systems.
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Bibliography

[1] H.N. Özgüven and D.R. Houser. Dynamic analysis of high speed gears by using loaded static transmission error. Journal of Sound and Vibration, 125(1):383–411, 1988. doi: 10.1016/0022-460X(88)90416-6.
[2] T.J. Sutton, S.J. Elliott, M.J. Brennan, K.H. Heron and D.A.C. Jessop. Active isolation of multiple structural waves on a helicopter gearbox support strut. Journal of Sound and Vibration, 205(1):81–101, 1997. doi: 10.1006/jsvi.1997.0972.
[3] G.T. Montague, A.F. Kaskak, A. Palazzolo, D. Manchala, and E. Thomas. Feed-forward control of gear mesh vibration using piezoelectric actuators. Shock and Vibration, 1(5):473–484 1994. doi: 10.3233/SAV-1994-1507.
[4] B. Rebbechi, C. Howard, and C. Hansen. Active control of gearbox vibration. Proceedings of the Active Control of Sound and Vibration Conference, pages 295–304, Fort Lauderdale, Florida, USA, 02-04 December, 1999.
[5] M.H. Chen and M.J. Brennan. Active control of gear vibration using specially configured sensors and actuators. Smart Materials and Structures, 9:342–350, 2000. doi: 10.1088/0964-1726/9/3/315.
[6] M. Li, T.C. Lim, and W.S. Shepard Jr. Modeling active vibration control of a geared rotor system. Smart Materials and Structures, 13:449–458, 2004. doi: 10.1088/0964-1726/13/3/001.
[7] Y.H. Guan, T.C. Lim, and W.S. Shepard Jr. Experimental study on active vibration control of a gearbox system. Journal of Sound and Vibration, 282(3-5):713–733, 2005. doi: 10.1016/j.jsv.2004.03.043.
[8] Y.H. Guan, M. Li, T.C. Lim, and W.S. Shepard Jr. Comparative analysis of actuator concept for active gear pair vibration control. Journal of Sound and Vibration, 269(1-2):273–294, 2004. doi: 10.1016/S0022-460X(03)00072-5.
[9] Y. Li, F. Zhang, Q. Ding, and L. Wang. Method and experiment study for active vibration control of gear meshing. Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 27(2):215–221, 2014.
[10] W. Gao, L. Wang, and Y. Liu. A modified adaptive filtering algorithm with online secondary path identification used for suppressing gearbox vibration. Journal of Mechanical Science and Technology, 30(11):4833–4843, 2016. doi: 10.1007/s12206-016-1002-z.
[11] W. Sun, F. Zhang, H. Li, H. Wang, and S. Luo. Co-simulation study on vibration control of multistage gear transmission system based on multiple control algorithms. Proceedings of the 2017 International Conference on Advanced Mechatronic Systems, pages 1–7, Xiamen, China, 2017. doi: 10.1109/ICAMechS.2017.8316474.
[12] W. Sun, F. Zhang, W. Zhu, H. Wang, S. Luo, and H. Li. A comparative study based on different control algoritms for suppressing multistage gear transmission system vibrations. Shock and Vibration, 2018:ID7984283, 2018. doi: 10.1155/2018/7984283.
[13] H. Wang, F. Zhang, H. Li, W. Sun, and S. Luo. Experimental analysis of an active vibration frequency control in gearbox. Shock and Vibration, 2018:ID7984283, 2018. doi: 10.1155/2018/1402697.
[14] C. Lauwerys, J. Swevers, and P. Sas. Robust linear control of an active suspension on a quarter car test-rig. Control Engineering Practice, 13(5):577–586, 2005. doi: 10.1016/ j.conengprac.2004.04.018.
[15] W. Sun, J. Li, Y. Zhao, and H. Gao. Vibration control for active seat suspension systems via dynamic output feedback with limited frequency characteristic. Mechatronics, 21(1):250–260, 2011. doi: 10.1016/j.mechatronics.2010.11.001.
[16] A. Farshidianfar, A. Saghafi, S.M. Kalami, and I. Saghafi. Active vibration isolation of machinery and sensitive equipment using H∞ control criterion and particle swarm optimization method. Meccanica, 47:437–453, 2012. doi: 10.1007/s11012-011-9451-z.
[17] R. Eberhart and J. Kennedy. A new optimizer using particle swarm theory. In Proceedings of the Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, 4-6 October, 1995. doi: doi.org/10.1109/MHS.1995.494215">10.1109/MHS.1995.494215.
[18] J.F. Schutte and A.A. Groenwold. A study of global optimization using particle swarms. Journal of Global Optimization, 31:93–108, 2005. doi: 10.1007/s10898-003-6454-x.
[19] D. Sedighizadeh and E. Masehian. Particle swarm optimization methods, taxonomy and applications. International Journal of Computer Theory and Engineering, 1(5):1793-8201, 2009.
[20] A. Saghafi, A. Farshidianfar, and A.A. Akbari. Vibrations control of gear-bearing dynamic system. Modares Mechanical Engineering, 14(6):135-143, 2014. (in Persian).
[21] A. Farshidianfar and A. Saghafi. Global bifurcation and chaos analysis in nonlinear vibration of spur gear systems. Nonlinear Dynamics, 75:783–806, 2014. doi: 10.1007/s11071-013-1104-4.
[22] A. Saghafi and A. Farshidianfar. An analytical study of controlling chaotic dynamics in a spur gear system. Mechanism and Machine Theory, 96(1):179–191, 2016. doi: 10.1016/j.mechmachtheory.2015.10.002.
[23] G. Pinte, S. Devos, B. Stallaert, W. Symens, J. Swevers, and P. Sas. A piezo-based bearing for the active structural acoustic control of rotating machinery. Journal of Sound and Vibration, 329(9):1235–1253, 2010. doi: 10.1016/j.jsv.2009.10.036.
[24] S. Skogestad and I. Postlethwaite. Multivariable Feedback Control: Analysis and Design. 2nd ed., Wiley Interscience, New York, 2005.
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Authors and Affiliations

Amin Saghafi
1
ORCID: ORCID
Anooshirvan Farshidianfar
2

  1. Department of Mechanical Engineering, Birjand University of Technology, Birjand, Iran
  2. Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
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Abstract

Vibrating plates have been recently used for a number of active noise control applications. They are resistant to difficult environmental conditions including dust, humidity, and even precipitation. However, their properties significantly depend on temperature. The plate temperature changes, caused by ambient temperature changes or plate heating due to internal friction, result in varying response of the plate, and may make it significantly different than response of a fixed model. Such mismatch may deteriorate performance of an active noise control system or even lead to divergence of a model-based adaptation algorithm.

In this paper effects of vibrating plate temperature variation on a feedforward adaptive active noise reduction system with the multichannel Filtered-reference LMS algorithm are examined. For that purpose, a thin aluminum plate is excited with multiple Macro-Fiber Composite actuators. The plate temperature is forced by a set of Peltier cells, what allows for both cooling and heating the plate. The noise is generated at one side of the plate, and a major part of it is transmitted through the plate. The goal of the control system is to reduce sound pressure level at a specified area on the other side of the plate.

To guarantee successful operation of the control system in face of plate temperature variation, a gain-scheduling scheme is proposed to support the Filtered-reference LMS algorithm.

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Authors and Affiliations

Krzysztof Mazur
Marek Pawełczyk
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Abstract

The active noise-reducing casing developed and promoted by the authors in recent publications have multiple advantages over other active noise control methods. When compared to classical solutions, it allows for obtaining global reduction of noise generated by a device enclosed in the casing. Moreover, the system does not require loudspeakers, and much smaller actuators attached to the casing walls are used instead. In turn, when compared to passive casings, the walls can be made thinner, lighter and with much better thermal transfer than sound-absorbing materials. For active noise control a feedforward structure is usually used. However, it requires an in-advance reference signal, which can be difficult to be acquired for some applications. Fortunately, usually the dominant noise components are due to rotational operations of the enclosed device parts, and thus they are tonal and multitonal. Therefore, it can be adequately predicted and the Internal Model Control structure can be used to benefit from algorithms well developed for feedforward systems. The authors have already tested that approach for a rigid casing, where interaction of the walls was significantly reduced. In this paper the idea is further explored and applied for a light-weight casing, more frequently met in practice, where each vibrating wall of the casing influences all the other walls. The system is verified in laboratory experiments.
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Authors and Affiliations

Krzysztof Mazur
Marek Pawełczyk
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Abstract

Active Noise Control (ANC) of noise transmitted through a vibrating plate causes many problems not observed in classical ANC using loudspeakers. They are mainly due to vibrations of a not ideally clamped plate and use of nonlinear actuators, like MFC patches. In case of noise transmission though a plate, nonlinerities exist in both primary and secondary paths. Existence of nonlinerities in the system may degrade performance of a linear feedforward control system usually used for ANC. The performance degradation is especially visible for simple deterministic noise, such as tonal noise, where very high reduction is expected. Linear feedforward systems in such cases are unable to cope with higher harmonics generated by the nonlinearities. Moreover, nonlinearities, if not properly tackled with, may cause divergence of an adaptive control system. In this paper a feedforward ANC system reducing sound transmitted through a vibrating plate is presented. The ANC system uses nonlinear control filters to suppress negative effects of nonlinearies in the system. Filtered-error LMS algorithm, found more suitable than usually used Filtered-reference LMS algorithm, is employed for updating parameters of the nonlinear filters. The control system is experimentally verified and obtained results are discussed.
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Authors and Affiliations

Krzysztof Mazur
Marek Pawełczyk
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Abstract

Vibrating plates can be used in Active Noise Control (ANC) applications as active barriers or as secondary sources replacing classical loudspeakers. The system with vibrating plates, especially when nonlinear MFC actuators are used, is nonlinear. The nonlinearity in the system reduces performance of classical feedforward ANC with linear control filters systems, because they cannot cope with harmonics generated by the nonlinearity. The performance of the ANC system can be improved by using nonlinear control filters, such as Artificial Neural Networks or Volterra filters. However, when multiple actuators are mounted on a single plate, which is a common practice to provide effective control of more vibration modes, each actuator should be driven by a dedicated nonlinear control filter. This significantly increases computational complexity of the control algorithm, because adaptation of nonlinear control filters is much more computationally demanding than adaptation of linear FIR filters. This paper presents an ANC system with multiple actuators, which are driven with a single nonlinear filter. To avoid destructive interference of vibrations generated by different actuators the control signal is filtered by appropriate separate linear filters. The control system is experimentally verified and obtained results are reported.
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Authors and Affiliations

Krzysztof Mazur
Marek Pawełczyk
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Abstract

It is possible to enhance acoustic isolation of the device from the environment by appropriately controlling vibration of a device casing. Sound insulation efficiency of this technique for a rigid casing was confirmed by the authors in previous publications. In this paper, a light-weight casing is investigated, where vibrational couplings between walls are much greater due to lack of a rigid frame. A laboratory setup is described in details. The influence of the cross-paths on successful global noise reduction is considered. Multiple vibration actuators are installed on each of the casing walls. An adaptive control strategy based on the Least Mean Square (LMS) algorithm is used to update control filter parameters. Obtained results are reported, discussed, and conclusions for future research are drawn.

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Authors and Affiliations

Stanisław Wrona
Marek Pawelczyk
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Abstract

Successful implementation of an active vibration control system is strictly correlated to the exact knowledge of the dynamic behavior of the system, of the excitation level and spectra and of the sensor and actuator’s specification. Only the correct management of these aspects may guarantee the correct choice of the control strategy and the relative performance. Within this paper, some preliminary activities aimed at the creation of a structurally simple, cheap and easily replaceable active control systems for metal panels are discussed. The final future aim is to control and to reduce noise, produced by vibrations of metal panels of the body of a car. The paper is focused on two points. The first one is the realization of an electronic circuit for Synchronized Shunted Switch Architecture (SSSA) with the right dimensioning of the components to control the proposed test article, represented by a rectangular aluminum plate. The second one is a preliminary experimental study on the test article, in controlled laboratory conditions, to compare performances of two possible control approach: SSSA and a feed-forward control approach. This comparison would contribute to the future choice of the most suitable control architecture for the specific attenuation of structure-born noise related to an automotive floor structure under deterministic (engine and road-tyre interaction) and stochastic (road-tyre interaction and aerodynamic) forcing actions.

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Authors and Affiliations

Massimo Viscardi
Romeo di Leo
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Abstract

Nowadays, noise generated by devices is a serious issue in industry and in everyday life, because it may cause health damage to humans. In this research, a cubic rigid device casing built of double-panel thin steel walls is employed to reduce noise emitted from an enclosed noise source. Double-panel structure is used because of good sound insulation it provides. There exist three main groups of noise reduction methods, i.e. passive, semi-active and active. In this paper, a semi-active modification of double-panel structure is applied and examined. The bistable actuator (solenoid) mounted between incident and radiating plates changes its state due to applied constant voltage, causing the coupling of plates. Experimentally measured natural frequencies and modeshapes of the structure are compared to the simulation results. The influence of proposed modification on dynamical properties of the structure is analyzed and discussed.

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Authors and Affiliations

Anna Chrapońska
Jarosław Rzepecki
Krzysztof Mazur
Stanisław Wrona
Marek Pawełczyk

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