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.
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References
Kireçci A, Eker I (2006) Hybrid control for robotic manipulators. Proc Inst Mech Eng Part I J Syst Control Eng 220(2):81–89
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
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
Astrom KJ, Hagglund T (1994) PID controllers: theory, design and tuning. Instrument Society of America, Durham
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
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
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
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
Han KY, Lee HH (2011) Neuro PID control of power generation using a low temperature gap. Artif Life Robot 16(2):178–184
Govindan P (2020) Evolutionary algorithms based tuning of PID controller for an AVR system. Int J Electr Comput Eng 10(3):3047–3056
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
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
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
Acknowledgements
This work was supported by the Ministry of Science and Technology, Taiwan [grant no. MOST 109-2221-E-003-022].
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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
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DOI: https://doi.org/10.1007/s10015-020-00661-z