Skip to main content
SpringerLink
Log in

Optimal Design for 2-DOF PID Regulator Based on PSO Algorithm

  • Conference paper
Advances in Swarm Intelligence (ICSI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6146))

Included in the following conference series:

Abstract

Particle swarm optimization(PSO) algorithm is a random global optimization technology, The algorithm features simple and ease to implement. Through interaction between particles, the algorithm found the optimal area in complicate searching space. In this paper, a method of optimizing two-degree-of-freedom (2-DOF) PID regulator parameter by using PSO algorithm is proposed, the optimization result is compared with the design way of 2-DOF based on IMC. The comparative results show that the system achieves better simultaneously both the command tracking and disturbance rejection characteristics by using PSO algorithm. The result verified the effectiveness of the PSO algorithm.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Xu, H., Xu, M., Zhang, F.: Two-degree-of-freedom PID Regulator Design Using an Improved Genetic Algorithm. Journal of System Simulation 11(2), 59–64 (1999)

    Google Scholar 

  2. Kung, Y.S., Liaw, C.M., Ouyang, M.S.: Adaptive Speed Control for Induction Motor Drives Using Neural Networks. IEEE Trans. Ind. Electron. 42(1), 25–32 (1995)

    Article  Google Scholar 

  3. Qiu, G., Lin, R.: Full Neuron Realization of Parameters Auto-Adjusting Two-degree-of-freedom PID. Journal of System Simulation 14(10), 1293–1295 (2003)

    Google Scholar 

  4. Zhang, J., Li, L., Chen, Z.: IMC Tuning of Two-degree-of-freedom PID Regulator. Chinese Journal of Scientific Instrument 23(1), 28–30 (2002)

    MathSciNet  Google Scholar 

  5. Zhang, J., Li, L., Chen, Z.: IMC Tuning of Two-degree-of-freedom PID Regulator. Chinese Journal of Scientific Instrument 23(1), 28–30 (2002)

    MathSciNet  Google Scholar 

  6. Araki, M., Hidefumi, T.: Two-Degree-of-Freedom PID Controllers. International Journal of Control, Automation, and Systems 1(4) (December 2003)

    Google Scholar 

  7. Taguchi, H., Doi, M., Araki, M.: Optimal Parameters of Two-Degree-of-Freedom PID Control Systems. Trans. SICE 23, 889–895 (1987)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Automation School, Nanjing University of Science and Technology, 210094, Nanjing, China

    Haiwen Wang & Yuewei Dai

  2. Automation Department of Taiyuan University of Science and Technology, 030024, Taiyuan, China

    Haiwen Wang & Jinggang Zhang

  3. China North Industries Group 207 Research Institute, 030024, Taiyuan, China

    Junhai Qu

Authors
  1. Haiwen Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jinggang Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yuewei Dai
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Junhai Qu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, 100871, Beijing, China

    Ying Tan

  2. Research and Postgraduate Office, Xi’an Jiaotong-Liverpool University, 215123, Suzhoum, China

    Yuhui Shi

  3. Department of Electrical and Computer Engineering, Engineering Drive 3, 4 Engineering Drive 3, National University of Singapore, 117576, Singapore

    Kay Chen Tan

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, H., Zhang, J., Dai, Y., Qu, J. (2010). Optimal Design for 2-DOF PID Regulator Based on PSO Algorithm. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13498-2_67

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13498-2_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13497-5

  • Online ISBN: 978-3-642-13498-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation