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Examination of a magnetorheological damper control system with vibration energy harvesting

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The study deals with the experimental examination of a magnetorheological (MR) damper control system with vibration energy harvesting using a specially engineered electronic unit (EU). Unlike a typical MR damper control system, which requires an external energy source, the developed system is powered exclusively by energy extracted from a vibrating structure (mechanical system with one-degree-of freedom) and processed through the EU. The work describes the structure and functions of the EU, presents the test rig and the control algorithm implementation, and discusses the test results of the control system under harmonic kinematic excitations of low frequency range.
Rocznik
Strony
158--168
Opis fizyczny
Bibliogr. 32 poz., rys., tab., wykr.
Twórcy
  • Faculty of Mechanical Engineering and Robotics, Department of Process Control, AGH University of Krakow, Mickiewicza 30 av., Kraków, Poland
  • Faculty of Mechanical Engineering and Robotics, Department of Process Control, AGH University of Krakow, Mickiewicza 30 av., Kraków, Poland
Bibliografia
  • 1. Priya S, Inman DJ, editors. Energy Harvesting Technologies. Boston, MA: Springer US. 2009. https://doi.org/10.1007/978-0-387-76464-1
  • 2. Harb A. Energy harvesting: State-of-the-art. Renewable Energy. 2011 Oct 1;36(10):2641–54. http://dx.doi.org/10.1016/j.renene.2010.06.014
  • 3. Siang J, Lim M H., Salman Leong M. Review of vibration-based energy harvesting technology: Mechanism and architectural ap-proach. International Journal of Energy Research. 2018 Jan 18; 42(5):1866–93. https://doi.org/10.1002/er.3986
  • 4. Wei C, Jing X. A comprehensive review on vibration energy harvesting: Modelling and realization. Renewable and Sustainable Energy Re-views. 2017 Jul 1;74:1–18. https://doi.org/10.1016/j.rser.2017.01.073
  • 5. Sun R, Zhou S, Cheng L. Ultra-low frequency vibration energy harvesting: Mechanisms, enhancement techniques, and scaling laws. Energy Conversion and Management. 2023 Jan 15;276:116585. https://doi.org/10.1016/j.enconman.2022.116585
  • 6. Brennan MJ, Tang B, Pechoto G, Lopes V. An investigation into the simultaneous use of a resonator as an energy harvester and a vibration absorber. Journal of Sound and Vibration. 2014 Feb 1;333(5):1331–43. https://doi.org/10.1016/j.jsv.2013.10.035
  • 7. Toyabur RM, Salauddin M, Cho H, Park JY. A multimodal hybrid energy harvester based on piezoelectric-electromagnetic mecha-nisms for low-frequency ambient vibrations. Energy Conversion and Management. 2018 Jul 15;168:454–66. https://doi.org/10.1016/j.enconman.2018.05.018
  • 8. Wang X, Liang X, Wei H. A study of electromagnetic vibration energy harvesters with different interface circuits. Mechanical Sys-tems and Signal Processing. 2015 Jun 1;58–59:376–98. https://doi.org/10.1016/j.ymssp.2014.10.004
  • 9. Wang X, Liang X, Hao Z, Du H, Zhang N, Qian M. Comparison of electromagnetic and piezoelectric vibration energy harvesters with dif-ferent interface circuits. Mechanical Systems and Signal Processing. 2016 May 1;72–73:906–24. https://doi.org/10.1016/j.ymssp.2015.10.016
  • 10. Shen W, Zhu S, Xu Y. An experimental study on self-powered vibration control and monitoring system using electromagnetic TMD and wireless sensors. Sensors and Actuators A: Physical. 2012 Jun 1;180:166–76. https://doi.org/10.1016/j.sna.2012.04.011
  • 11. Cai Q, Zhu S. Enhancing the performance of electromagnetic damper cum energy harvester using microcontroller: Concept and experiment validation. Mechanical Systems and Signal Processing. 2019 Dec 1;134:106339-9. https://doi.org/10.1016/j.ymssp.2019.106339
  • 12. Sapiński B, Orkisz P, Jastrzębski Ł. Experimental Analysis of Power Flows in the Regenerative Vibration Reduction System with a Magnetorheological Damper. Energies. 2021 Feb 6;14(4):848. http://dx.doi.org/10.3390/en14040848
  • 13. Jastrzębski Ł, Sapiński B. Magnetorheological Self-Powered Vibra-tion Reduction System with Current Cut-Off: Experimental Investiga-tion. Acta Mechanica et Automatica. 2018 Jun 1;12(2):96–100. https://doi.org/10.2478/ama-2018-0015
  • 14. Sapiński B. An experimental electromagnetic induction device for a magnetorheological damper. Journal of Theoretical and Applied Mechanics. 2008;46(4):933–47.
  • 15. Sapiński B. Vibration power generator for a linear MR damper. Smart Materials and Structures. 2010 Aug 6;19(10):105012. http://doi.org/10.1088/0964-1726/19/10/105012
  • 16. Kozieł A, Jastrzębski Ł, Sapiński B. Advanced Prototype of an Electrical Control Unit for an MR Damper Powered by Energy Har-vested from Vibrations. Energies. 2022 Jun 21;15(13):4537. https://doi.org/10.3390/en15134537
  • 17. Texas Instruments, Technical documentation available online: https://www.ti.com/ (accessed on Jun 30, 2023).
  • 18. STMicroelectronics, Technical documentation available online: http://www.st.com/ (accessed on Jun 30, 2023).
  • 19. MR Damper, RD-8040-1, Technical documentation available online: http://www.lordfulfillment.com/upload/DS7016.pdf (ac-cessed on Jun 30, 2023).
  • 20. Gołdasz J, Sapiński B, Jastrzębski Ł, Kubik M. Dual Hysteresis Model of MR Dampers. Frontiers in Materials. 2020 Oct 6; 7:236. https://doi.org/10.3389/fmats.2020.00236
  • 21. Choi SB, Li W, Yu M, Du H, Fu J, Do PX. State of the art of control schemes for smart systems featuring magneto-rheological materi-als. Smart Materials and Structures 2016 Mar 14;25(4):043001. https://doi.org/10.1088/0964-1726/25/4/043001
  • 22. Karnopp D, Crosby MJ, Harwood RA. Vibration Control Using Semi-Active Force Generators. Journal of Engineering for Industry. 1974 May 1;96(2):619–26. https://doi.org/10.1115/1.3438373
  • 23. Sapiński B, Rosół M. MR damper performance for shock isolation. Journal of Theoretical and Applied Mechanics. 2007;45(1):133–45.
  • 24. Analog Devices, Technical documentation available online: https://www.analog.com/en/index.html (accessed on Jun 30, 2023).
  • 25. Thenozhi S, Yu W, Garrido R. A novel numerical integrator for velocity and position estimation. Transactions of the Institute of Measurement and Control. 2013 Aug 1;35(6):824–33. https://doi.org/10.1177/0142331213476987
  • 26. Arias-Lara D, De-la-Colina J. Assessment of methodologies to estimate displacements from measured acceleration records. Measurement. 2018 Jan 1;114:261–73. https://doi.org/10.1016/j.measurement.2017.09.019
  • 27. Hamming RW. Digital filters (3rd ed.). GBR: Prentice Hall Interna-tional (UK) Ltd.; 1989. 284 p.
  • 28. Guo R, Ye S, Ji Y. Optimization Acceleration Integral Method Based on Power Spectrum Estimation. MATEC Web Conf. 2018;176:03012. https://doi.org/10.1051/matecconf/201817603012
  • 29. Han H, Park M, Park S, Kim J, Baek Y. Experimental Verification of Methods for Converting Acceleration Data in High-Rise Buildings into Displacement Data by Shaking Table Test. Applied Sciences 2019 Apr 21;9(8):1653-3. https://doi.org/10.3390/app9081653.
  • 30. Park KT, Kim SH, Park HS, Lee KW. The determination of bridge displacement using measured acceleration. Engineering Struc-tures. 2005 Feb 1;27(3):371–8. https://doi.org/10.1016/j.engstruct.2004.10.013
  • 31. Yang Y, Zhao Y, Kang D. Integration on acceleration signals by adjusting with envelopes. Journal of Measurements in Engineering. 2016 Jun 30;4(2):117–21.
  • 32. Polytec, Technical documentation available online: https://www.polytec.com (accessed on Jun 30, 2023). This research was funded by the AGH University of Krakow within the scope of the research program No. 16.16.130.942.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-aa6ed04e-5fb3-45fa-ae29-2586e00ebb50
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