Skip to main content
Log in

PID auto-tuning for simultaneously fulfilling the requirements of relative stability and steady-state error

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

Proportional-integral-derivative (PID) control is commonly used in industrial automatic control systems. However, it is not straightforward to determine control gains in a PID controller for satisfactory closed-loop performance. Many research works have been devoted to the auto-tuning of PID control gains. In contrast to previous studies, this paper develops an auto-tuning rule for PID controllers to simultaneously satisfy specifications of both steady-state error and relative stability, in which stability is specified in terms of phase margin. To illustrate the proposed auto-tuning rule, a focus servo of an optical disk drive is used, in which a voice coil motor drives a lens to focus a laser beam on a data layer of an optical disk. Experimental results show the effectiveness of the proposed PID auto-tuning process.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Kireçci A, Eker I (2006) Hybrid control for robotic manipulators. Proc Inst Mech Eng Part I J Syst Control Eng 220(2):81–89

    Google Scholar 

  2. Lu YS, Li YT, Liu SH (2017) Initial-value compensation of a PID controller for non-overshooting motion. Proc Inst Mech Eng Part I J Syst Control Eng 231(8):626–637

    Google Scholar 

  3. Vuppu GKRP, Venkata SM, Kodati S (2015) Robust design of PID controller using IMC technique for integrating process based on maximum sensitivity. J Control Autom Electr Syst 26(5):466–475

    Article  Google Scholar 

  4. Astrom KJ, Hagglund T (1994) PID controllers: theory, design and tuning. Instrument Society of America, Durham

    Google Scholar 

  5. Garelli F, Mantz RJ, De Battista H (2010) Multi-loop two-degree-of-freedom PI controllers with adaptive set-point weighting. Proc Inst Mech Eng Part I J Syst Control Eng 224(8):1033–1039

    Google Scholar 

  6. Vinuela EB, Bradu B, Martinez RM et al (2015) PIDTUNE: a PID autotuning software tool on UNICOS CPC. In: Proceedings of the international conference on accelerator and large experimental physics control systems, 17–23 Oct 2015. Melbourne, pp 22–25

  7. Zeng D, Zheng Y, Luo W et al (2019) Research on improved auto-tuning of a PID controller based on phase angle margin. Energies 12:1704

    Article  Google Scholar 

  8. Yin JM, Shin JS, Lee HH (2009) On-line tuning PID parameters in an idling engine based on a modified BP neural network by particle swarm optimization. Artif Life Robot 14(2):129–133

    Article  Google Scholar 

  9. Han KY, Lee HH (2011) Neuro PID control of power generation using a low temperature gap. Artif Life Robot 16(2):178–184

    Article  Google Scholar 

  10. Govindan P (2020) Evolutionary algorithms based tuning of PID controller for an AVR system. Int J Electr Comput Eng 10(3):3047–3056

    MathSciNet  Google Scholar 

  11. de Moura JP, da Fonseca Neto JV, Rêgo PHM (2019) Models for optimal online tuning based on computational intelligence of PID controllers applied to operational processes of bulk reclaimers. J Control Autom Electr Syst 30(2):148–159

    Article  Google Scholar 

  12. Ahmad S, Ali S, Tabasha R (2019) The design and implementation of a fuzzy gain-scheduled PID controller for the Festo MPS PA compact workstation liquid level control. Eng Sci Technol Int J. https://doi.org/10.1016/j.jestch.2019.05.014

    Article  Google Scholar 

  13. Lu YS, Cheng CH (2020) Auto-tuning of PID controllers for satisfying specifications of both steady-state error and relative stability. In: Proceedings of the international symposium on artificial life and robotics, 22–24 Jan 2020. Beppu, pp 188–191

Download references

Acknowledgements

This work was supported by the Ministry of Science and Technology, Taiwan [grant no. MOST 109-2221-E-003-022].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu-Sheng Lu.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lu, YS., Tsai, TS., Huang, CC. et al. PID auto-tuning for simultaneously fulfilling the requirements of relative stability and steady-state error. Artif Life Robotics 26, 162–168 (2021). https://doi.org/10.1007/s10015-020-00661-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-020-00661-z

Keywords

Navigation