Skip to main content

Analysis and Implementation of FULMS Algorithm Based Active Vibration Control System

  • Conference paper
  • 1849 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 97))

Abstract

Considering the passive vibration control methods are not effective for low frequencies and will increase the size and weight of the system, an active vibration control (AVC) system is designed in this paper based on the filtered-u least mean square (FULMS) algorithm. Giving the multi-in multi-out (MIMO) FULMS controller structure and taking the configured smart beam with surface bonded lead-zirconate-titanate (PZT) patches as research object, an AVC experimental platform is established to testify the effectiveness of the proposed controller. Experimental results indicate that the designed MIMO FULMS vibration controller has a good control performance to suppress the vibration significantly with rapid convergence.

This research is supported by program of National Nature Science Foundation of China (No.90716027).

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wang, C.G., Mao, L.N., Du, X.W., He, X.D.: Influence Parameter Analysis and Wrinkling Control of Space Membrane Structures. Mechanics of Advanced Materials and Structures 17, 49–59 (2010)

    Article  Google Scholar 

  2. Zemlyakov, S.D., Rutkovskii, V.Y., Sukhanov, V.M.: Some questions of control of the robotized in-orbit assembly of large space structures. Automation and Remote Control 67, 1215–1227 (2006)

    Article  Google Scholar 

  3. Di Gennaro, S.: Output stabilization of flexible spacecraft with active vibration suppression. IEEE Transactions on Aerospace and Electronic Systems 39, 747–759 (2003)

    Article  Google Scholar 

  4. Lee Glauser, G.J., Ahmadi, G., Layton, J.B.: Satellite active and passive vibration control during liftoff. Journal of Spacecraft and Rockets 33, 428–432 (1996)

    Article  Google Scholar 

  5. Xia, Y.A.: Ghasempoor: Adaptive active vibration suppression of flexible beam structures. Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science 222, 357–364 (2008)

    Article  Google Scholar 

  6. Qiu, X.J., Hansen, C.H.: A study of time-domain FXLMS algorithms with control output constraint. Journal of the Acoustical Society of America 109, 2815–2823 (2001)

    Article  CAS  PubMed  Google Scholar 

  7. Gupta, A., Yandamuri, S., Kuo, S.M.: Active vibration control of a structure by implementing filtered-X LMS algorithm. Noise Control Engineering Journal 54, 396–405 (2006)

    Article  Google Scholar 

  8. Xiao, Y.G., Ma, L.Y., Hasegawa, K.: Properties of FXLMS-Based Narrowband Active Noise Control With Online Secondary-Path Modeling. IEEE Transactions on Signal Processing 57, 2931–2949 (2009)

    Article  Google Scholar 

  9. Sun, X.G.M.: Steiglitz-Mcbride type adaptive IIR algorithm for active noise control. Journal of Sound and Vibration 273, 441–450 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gao, Z., Zhu, X., Huang, Q., Jiang, E., Zhao, M. (2010). Analysis and Implementation of FULMS Algorithm Based Active Vibration Control System. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Communications in Computer and Information Science, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15853-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15853-7_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15852-0

  • Online ISBN: 978-3-642-15853-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics