Skip to main content
SpringerLink
Log in

Neural-Network-Based Switching Control for DC Motors System with LFR

  • Conference paper
Advances in Neural Networks – ISNN 2007 (ISNN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4491))

Included in the following conference series:

  • 1921 Accesses

Abstract

The Loss-Free resistor (LFR) is applied to DC motor speed control system. A compensation Control algorithm based on LFR is proposed. The LFR is realized by means of switching network whose characteristics are nonlinear, thus, a neural network was designed and used. The switching on-off time can be instantaneously calculated by using the Neural-network-based algorithm proposed. The varies of the motor speed is realized by controlling the output of the LFR, the energy loss in the system is reduced compared with using a conventional power amplifier, and the dynamic characteristics of the system are also improved. The validation of the simulation results is proposed as well.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Singer, S.: Realization of Loss-Free Resistive Elements. IEEE Trans. CAS 37, 54–58 (1990)

    Article  MathSciNet  Google Scholar 

  2. Singer, S., Smilovitz, D.: Transmission Line-Based Loss-Free Resistor. IEEE Trans. CAS 41, 120–126 (1994)

    Article  Google Scholar 

  3. Wang, A., Yin, H.: Realization of Source with Internal Loss-free Resistive characteristic. IEEE Trans. CAS 48, 830–839 (2001)

    Article  Google Scholar 

  4. Singer, S.: A Pure Realization of Loss-free Resistive Elements. IEEE Trans. CAS 51(8), 1639–1647 (2004)

    Article  Google Scholar 

  5. Wu, J., Xu, X., Yin, H.: Character and the Application of Loss-less Resistor. Journal of Northeastern University 22, 370–372 (2001)

    Google Scholar 

  6. Smedley, K.M., Zhou, L.W., Qiao, C.M.: Unified Constant-frequency Integration Control of Active Power Filters: Steady-state and Dynamics. IEEE Trans. Power Elec. 16, 428–436 (2001)

    Article  Google Scholar 

  7. Wu, J., Zhang, S., Song, J., Xu, X.: Algorithm for Computing Switching Time in VAPF. In: Proceedings of the 2004 IEEE Workshop on Computers in Power Electronics COMPEL ’04, Illinois, USA, pp. 119–122 (2004)

    Google Scholar 

  8. Zhang, M.T., Jovanovic, M.M., Lee, F.C.Y.: Analysis and Evaluation of Interleaving Techniques in Forward Converters. IEEE Trans. Power Electron. 13, 690–698 (1998)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Northeastern University, School of Information Science and Engineering, Shenyang, Liaoning 110004, China

    Jianhua Wu, Shuying Zhao, Lihong He, Lanfeng Chen & Xinhe Xu

Authors
  1. Jianhua Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shuying Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lihong He
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lanfeng Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xinhe Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering (M/C 154), University of Illinois at Chicago, 851 S. Morgan Street, 60607-7053, Chicago, IL, USA

    Derong Liu

  2. School of Automation, Southeast University, 210096, Nanjing, China

    Shumin Fei

  3. Laboratory of Complex Systems, Institute of Automation, Chinese Adacemy of Sciences, 100080, Beijing, P. R. China

    Zeng-Guang Hou

  4. School of Information Science and Engineering, Northeast University, Shenyang, 110004, China

    Huaguang Zhang

  5. School of Electrical Engineering, Hohai University, Nanjing, 210098, China

    Changyin Sun

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wu, J., Zhao, S., He, L., Chen, L., Xu, X. (2007). Neural-Network-Based Switching Control for DC Motors System with LFR. In: Liu, D., Fei, S., Hou, ZG., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72383-7_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-72383-7_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72382-0

  • Online ISBN: 978-3-540-72383-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation