Skip to main content
SpringerLink
Log in

PID Controller Tuning in Smith Predictor Configuration for Stable Processes with Large Time Delay Using IMC Scheme

  • Conference paper
  • First Online:
Innovations in Soft Computing and Information Technology

Abstract

A PID controller design method through IMC scheme to work in Smith predictor configuration for processes having long dead time is presented in this paper. The Smith predictor controller is obtained via IMC scheme, and then the PID controller is derived by frequency response matching. As the approximation of the controller is involved in frequency domain, the method is applicable for both high-order and low-order processes. The efficacy of the method is illustrated through simulation of different examples and performance improvement is observed.

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 EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Meyer C, Seborg DE (1976) Chem Eng Scie 31:775–778.

    Google Scholar 

  2. Hagglund T (1992) IEEE Control System Magazine 12(1):57–60.

    Google Scholar 

  3. Smith OJM (1959) ISA J 6(2):28–33.

    Google Scholar 

  4. Hang CC, Wong FS (1979) Proc ISA Annual Conf:33–44.

    Google Scholar 

  5. Watanabe K, Ito M (1981) IEEE trans Auto Contr 26(6):1261–1266.

    Google Scholar 

  6. Astrom KJ, Hang CC, Lim BC (1994) IEEE Trans Auto Contr 39(2):343–345.

    Google Scholar 

  7. Matausek MR, Micic AD (1996) IEEE Trans Auto Cont 41(8):1199–1203.

    Google Scholar 

  8. Kwak HJ, Whan S, Lee IB (2001) Ind Eng Chem Res 40:1500–1506.

    Google Scholar 

  9. Hang CC, Wang QG, Yang XP (2003) Ind Eng Chem Res 42:484–489.

    Google Scholar 

  10. Uma S, Chidambaram M, Rao AS (2010) Chem Eng Res and Des 88:592–601.

    Google Scholar 

  11. Padhan DG, Majhi S (2011) Electronics Letters 47(17): 959–961.

    Article  Google Scholar 

  12. Gracia CE, Morari M (1982) Ind Eng Chem Process Des Dev 21:308–323.

    Google Scholar 

  13. Morari M, Zafiriou E (1989) Robust process control. New Jersey: Prentice-Hall Inc.

    Google Scholar 

  14. Wang QG, Hang CC, Yang XP (2001) Automatica 37:2041–2048.

    Article  Google Scholar 

  15. Li Y, Park S, Lee M, Brosilow C (1998) AIChE Journal 44(1):106–115.

    Article  Google Scholar 

  16. Panda RC (2008) Ind Eng Chem Res 47:8684–8692.

    Google Scholar 

  17. Kaya I (2003) ISA Trans 42:101–110.

    Google Scholar 

  18. Kaya I (2004) Computer and Chemincal Engineering 28:281–290.

    Google Scholar 

  19. Anwar MN, Pan S (2015) ISA Transactions 55:175–187.

    Article  Google Scholar 

  20. Anwar MN, Shamsuzzoha M, Pan S (2015) Arabian Journal of Science and Engineering 40:995–1004.

    Google Scholar 

  21. Pal J (1986) International Journal of Control 43(1):257–269.

    Article  Google Scholar 

  22. Pan S, Pal J (1995) Appl Math Modelling 19:133–138.

    Google Scholar 

  23. Yang X, Xu B, Chiu MS (2011) Ind Eng Chem Res 50:1352–1359.

    Google Scholar 

  24. Astrom KJ, Hagglund T (1995) PID Controllers Theory Design and Tuning, 2nd ed. North Carolina: Instrument Society of America, Research Triangle Park.

    Google Scholar 

  25. Skogestad S (2003) Journal of Process Control 13:291–309.

    Article  MathSciNet  Google Scholar 

  26. Benouarets M, Atherton DP (1994) UKACC International Conference on Control: 795–800.

    Google Scholar 

Download references

Acknowledgements

The authors acknowledge the support from Department of Science and Technology, India (under the project grant no: ECR/16/001547) at NIT Patna, India.

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology, Ashok Rajpath, Patna, 800005, Bihar, India

    Md Nishat Anwar & Ashraf Raza

  2. Department of Electrical Engineering, Indian School of Mines, Dhanbad, 826004, India

    Somnath Pan

Authors
  1. Md Nishat Anwar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Somnath Pan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ashraf Raza
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ashraf Raza .

Editor information

Editors and Affiliations

  1. Department of Chemistry, Amity University, Ranchi, Jharkhand, India

    Jayeeta Chattopadhyay

  2. Department of Mechanical Engineering, Amity University, Ranchi, Jharkhand, India

    Rahul Singh

  3. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Vandana Bhattacherjee

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Anwar, M.N., Pan, S., Raza, A. (2019). PID Controller Tuning in Smith Predictor Configuration for Stable Processes with Large Time Delay Using IMC Scheme. In: Chattopadhyay, J., Singh, R., Bhattacherjee, V. (eds) Innovations in Soft Computing and Information Technology . Springer, Singapore. https://doi.org/10.1007/978-981-13-3185-5_22

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-3185-5_22

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3184-8

  • Online ISBN: 978-981-13-3185-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation