Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 3
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

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.
Go to article

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
Download PDF Download RIS Download Bibtex

Abstract

Designing touch-down bearings (TDB) for outer rotor flywheels operated under high vacuum conditions constitutes a challenging task. Due to their large diameters, conventional TDB cannot suited well, and a planetary design is applied, consisting of a number of small rolling elements distributed around the stator. Since the amplitude of the peak loads during a drop-down lies close to the static load rating of the bearings, it is expected that their service life can be increased by reducing the maximum forces. Therefore, this paper investigates the influence of elastomer rings around the outer rings in the TDB using simulations. For this purpose, the structure and the models used for contact force calculation in the ANEAS simulation software are presented, especially the modelling of the elastomers. Based on the requirements for a TDB in a flywheel application, three different elastomers (FKM, VMQ, EPDM) are selected for the investigation. The results of the simulations show that stiffness and the type of material strongly influence the maximum force. The best results are obtained using FKM, leading to a reduction of the force amplitude in a wide stiffness range.
Go to article

Bibliography

  1.  L. Quurck, H. Schaede, M. Richter, and S. Rinderknecht, “High Speed Backup Bearings for Outer-Rotor-Type Flywheels – Proposed Test Rig Design,” in Proceedings of ISMB 14, Linz, Austria, 2014, pp. 109–114.
  2.  L. Quurck, D. Franz, B. Schüßler, and S. Rinderknecht, “Planetary backup bearings for high speed applications and service life estimation methodology,” Mech. Eng. J., vol. 4, no. 5, 2017, doi: 10.1299/mej.17-00010.
  3.  L. Quurck, R. Viitala, D. Franz, and S. Rinderknecht, “Planetary Backup Bearings for Flywheel Applications,” in Proceedings of ISMB 16, Beijing, China, 2018.
  4.  J. Cao, P. Paul Allaire, T. Dimond, C. Klatt, and J.J.J. van Rensburg, “Rotor Drop Analyses and Auxiliary Bearing System Optimization for AMB Supported Rotor/Experimental Validation – Part II: Experiment and Optimization,” in Proceedings of ISMB 15, Kitakyushu, Japan, 2016, 819–825.
  5.  J. Schmied and J.C. Pradetto, “Behaviour of a One Ton Rotor being Dropped into Auxiliary Bearings,” in Proceedings of ISMB 3, Zürich, Schweiz, 1992, pp. 145–156.
  6.  Z. Yili and Z. Yongchun, “Dynamic Responses of Rotor Drops onto Auxiliary Bearing with the Support of Metal Rubber Ring,” Open Mech, Eng. J., vol. 9, no. 1, pp. 1057–1061, 2015, doi: 10.2174/1874155X01509011057.
  7.  A. Bormann, Elastomerringe zur Schwingungsberuhigung in der Rotordynamik: Theorie, Messungen und optimierte Auslegung. Disser- tation. Düsseldorf: VDI-Verl., 2005.
  8.  M. Orth and R. Nordmann, “ANEAS: A Modeling Tool for Nonlinear Analysis of Active Magnetic Bearing Systems,” IFAC Proceedings Volumes, vol. 35, no. 2, pp. 811–816, 2002, doi: 10.1016/S1474-6670(17)34039-9.
  9.  V.L. Popov, Contact Mechanics and Friction: Physical Principles and Applications. Berlin, Heidelberg: Springer, 2017.
  10.  E.P. Gargiulo Jr., “A simple way to estimate bearing stiffness,” Machine Design, vol. 52, no. 17, pp. 107–110, 1980.
  11.  K.H. Hunt and F.R.E. Crossley, “Coefficient of Restitution Interpreted as Damping in Vibroimpact,” J. Appl. Mech., vol. 42, no. 2, p. 440, 1975, doi: 10.1115/1.3423596.
  12.  M.C. Marinack, R.E. Musgrave, and C.F. Higgs, “Experimental Investigations on the Coefficient of Restitution of Single Particles,” Tribol. Trans., vol. 56, no. 4, pp. 572–580, 2013, doi: 10.1080/10402004.2012.748233.
  13.  R.J. Mainstone, “Properties of materials at high rates of straining or loading,” Mat. Constr., vol. 8, no. 2, pp. 102–116, 1975, doi: 10.1007/ BF02476328.
  14.  H. Wittel, D. Muhs, D. Jannasch, and J. Voßiek, “Wälzlager und Wälzlagerungen,” in Roloff/Matek Maschinenelemente, H. Wittel, D. Muhs, D. Jannasch, and J. Voßiek, Eds., Wiesbaden: Vieweg+Teubner Verlag, 2009, pp. 475–525.
  15.  J. M. Gouws, “Investigation into backup bearing life using delevitation severity indicators,” North-West University, Potchefstroom, South Africa, 2016.
  16.  G. Sun, “Auxiliary Bearing Life Prediction Using Hertzian Contact Bearing Model,” J. Appl. Mech., vol. 128, no. 2, p.  203, 2006, doi: 10.1115/1.2159036.
  17.  T. Ishii and R. G. Kirk, “Transient Response Technique Applied to Active Magnetic Bearing Machinery During Rotor Drop,” J. Vib. Acoust., vol. 118, no. 2, pp. 154–163, 1996, doi: 10.1115/1.2889643.
Go to article

Authors and Affiliations

Benedikt Schüßler
1
ORCID: ORCID
Timo Hopf
1
ORCID: ORCID
Stephan Rinderknecht
1
ORCID: ORCID

  1. Technical University of Darmstadt, Institute for Mechatronic Systems, Germany
Download PDF Download RIS Download Bibtex

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.
Go to article

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.
Go to article

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

This page uses 'cookies'. Learn more