Skip to main content
SpringerLink
Log in
Book cover

International Conference on Intelligent Science and Big Data Engineering

IScIDE 2013: Intelligence Science and Big Data Engineering pp 47–53Cite as

Study on the Electromagnetic Performance of Hydroelectric Generator Based on Intelligent Control

  • Conference paper

  • 2359 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8261))

Abstract

The control method applied to our hydraulic generator product is still the traditional PID control. This method can’t realize self-tuning of control parameters online. To enhance the adaptability of the system, the intelligent control technology is applied to the hydraulic turbine generator set which has effectively improved the dynamic operation performance in different cases. Through theoretical derivation and simulation analysis, we summarized the control performance of improved particle swarm optimization (PSO) method is superior to the fuzzy PID control, when both of them are applied to the hydroelectric regulating system and excitation control system.

This is a preview of subscription content, 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   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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. Liao, Z., Li, Z.: The Fuzzy Control Simulation of the Hydro-Turbine Governing system. Journal of Nanchang College of Water Conservancy and Hydroelectric 4, 17–20 (2001)

    Google Scholar 

  2. Li, P., Cai, W., Xiao, Z.: Fuzzy-PID controller of hydro-turbine regulating system and its simulation model. Northwest Water Power 12(3), 88–90 (2004)

    Google Scholar 

  3. Han, Y., Xie, X., Cui, W.: Status Quo and Future Trend in Research on Synchronous Generator Excitation Control. J. Tsinghua Univ. 41(4/5), 142–146 (2001)

    MathSciNet  Google Scholar 

  4. Wang, C., Duan, X., Liu, X.: A Modified Basic Particle Swarm Optimization Algorithm. Computer Engineering 30(21), 435–439 (2004)

    Google Scholar 

  5. Li, J., Sun, X., Li, S., Li, R.: Improved Particle Swarm Optimization Based on Genetic Hybrid Genes. Computer Engineering 2, 1021–1025 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronic Engineering, Shenyang Aviation Vocational and Technical College, Shenyang, P.R. China, 110034

    Xin Shi & Yuxiang Wang

  2. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, P.R. China, 100083

    Jianhua Lin & Heping Liu

Authors
  1. Xin Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jianhua Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yuxiang Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Heping Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Automation and Electrical Engineering, University of Science and Technology, Xueyuan Road No. 30, 100083, Beijing, China

    Changyin Sun

  2. Department of Psychology, Peking University, Yiheyuan Road No. 5, 100871, Beijing, China

    Fang Fang

  3. Department of Computer Science and Technology, Nanjing University, Xianlin Avenue No. 163, 210023, Nanjing, China

    Zhi-Hua Zhou

  4. School of Automation, Southeast University, Sipailou No. 2, 210096, Nanjing, China

    Wankou Yang

  5. Institute of Automation, Chinese Academy of Sciences, No. 95 East Zhongguancun Road, 100190, Beijing, China

    Zhi-Yong Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shi, X., Lin, J., Wang, Y., Liu, H. (2013). Study on the Electromagnetic Performance of Hydroelectric Generator Based on Intelligent Control. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-42057-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-42056-6

  • Online ISBN: 978-3-642-42057-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation