Skip to main content
Log in

Stability Analysis of a Nonlinear PID Controller

  • Regular Papers
  • Control Theory and Applications
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

In our previous work, the authors presented an effective nonlinear proportional-integral-derivative (PID) controller by incorporating a nonlinear function. The proposed controller is based on a conventional PID control architecture, wherein a nonlinear gain is coupled in series with the integral action to scale the error. Three new tuning rules for processes represented as the first-order plus time delay (FOPTD) model were obtained by solving an optimization problem formulated to minimize three performance indices. The main feature of the proposed controller is that it preserves the numbers of tuning gains even though nonlinearity is introduced and remains easy implementation in real applications. However, due to the introduction of a nonlinear element, the stability problem of the proposed controller may be raised. This paper presents one sufficient condition in the frequency domain for the absolute stability of the nonlinear PID controller, based on circle stability theory. It is proved that the nonlinear gain used is in the sector [0, 1]. The condition of the linear block F(s) is derived for the overall feedback system to be stable. Checking the stability and the effectiveness and robustness of the feedback system for setpoint tracking are demonstrated through a set of simulation works on three processes with uncertainty.

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.

Similar content being viewed by others

References

  1. J. G. Ziegler and N. B. Nichols, “Optimum setting for automatic controllers,” ASME Trans, vol. 64, no. 8, pp. 759–768, November 1942.

    Google Scholar 

  2. A. O’Dwyer, Handbook of PI and PID Controller Tuning Rules, 2nd ed., Imperial College Press, pp. 154–180, 2006.

    Book  Google Scholar 

  3. K. J. Åström and T. Hägglund, “Automatic tuning of simple regulators with specification of phase and amplitude margins,” Automatica, vol. 20, no. 5, pp. 645–651, April 1984.

    Article  MathSciNet  Google Scholar 

  4. S. M. Girirajkumar, A. A. Kumar, and N. Anantharaman, “Tuning of a PID controller for a real time industrial process using particle swarm optimization,” Int. J. of Computer Applications, vol. 1, no. 7, pp. 35–40, December 2010.

    Article  Google Scholar 

  5. J.-W. Perng, Y.-C. Kuo, and K.-C. Lu, “Design of the PID controller for hydro-turbines based on optimization algorithms,” International Journal of Control, Automation, and Systems, vol. 18, no. 7, pp. 1758–1770, 2020.

    Article  Google Scholar 

  6. A. A. Khan and N. Rapal, “Fuzzy PID controller design, tuning and comparison with conventional PID controller,” Proceedings of IEEE Int. Conf. on Engineering of Intelligent Systems, pp. 1–6, 2006.

    Google Scholar 

  7. R. Kumar, S. Srivastava, and J. R. P. Gupta, “Artificial neural network based PID controller for online control of dynamical systems,” Proceedings of the 1st IEEE Int. Conf. on Power Electronics, Intelligent Control and Energy Systems, pp. 1–6, 2016.

    Google Scholar 

  8. K. Li, S. Boonto, and T. Nuchkrua, “On-line self tuning of contouring control for high accuracy robot manipulators under various operations,” International Journal of Control, Automation, and Systems, vol. 18, no. 7, pp. 1818–1828, 2020.

    Article  Google Scholar 

  9. B. M. slayed and M. A. Hawwa, “A nonlinear PID control scheme for hard disk drive servo systems,” Proceedings of Mediterranean Conf. on Control and Automation, pp. 1–6, 2007.

    Google Scholar 

  10. M. Korkmaz, O. Aydogdu, and H. Dogan, “Design and performance comparison of variable parameter nonlinear PID controller and genetic algorithm based PID controller,” Proceedings of IEEE Int. Symp. on Innovations in Intelligent Systems and Applications, pp. 1–5, 2012.

    Google Scholar 

  11. H. Zhang and B. Hu, “The application of nonlinear PID controller in generator excitation system,” Energy Procedia, vol. 17, Part A, pp. 202–207, 2012.

    Article  Google Scholar 

  12. G. B. So and G. G. Jin, “Fuzzy-based nonlinear PID controller and its application to CSTR,” Korean Journal of Chemical Engineering, vol. 35, no. 4, pp. 819–825, April 2018.

    Article  Google Scholar 

  13. H. Seraji, “A new class of nonlinear PID controllers with robotic applications,” Journal of Robotic Systems, vol. 15, no. 3, pp. 161–181, December 1998.

    Article  Google Scholar 

  14. D. Kler, K. P. S. Rana, and V. Kumar, “A nonlinear PID controller based novel maximum power point tracker for PV systems,” Journal of the Franklin Institute, vol. 335, no. 16, pp. 7828–7864, June 2018.

    MATH  Google Scholar 

  15. C. Zheng, Y. Su, and P. Mercorelli, “A simple nonlinear PD control for faster and high-precision positioning of servomechanisms with actuator saturation,” Mechanical Systems and Signal Processing, vol. 121, no. 15, pp. 215–226, April 2019.

    Article  Google Scholar 

  16. G. B. So, H. S. Yi, Y. D. Son, and G. G. Jin, “Temperature control of a regasification system for LNG-fuelled marine engines using nonlinear control techniques,” Int. Journal of Control, Automation and Systems, vol. 16, no. 6, pp. 3047–3054, October 2018.

    Article  Google Scholar 

  17. G. G. Jin and Y. D. Son, “Design of a nonlinear PID controller and tuning rules for first-order plus time delay models,” Studies in Informatics and Control, vol. 28, no. 2, pp. 157–166, July 2019.

    Article  MathSciNet  Google Scholar 

  18. Y. X. Su, D. Sun, and B. Y. Duan, “Design of an enhanced nonlinear PID controller,” Mechatronics, vol. 15, no. 8, pp. 1005–1024, October 2005.

    Article  Google Scholar 

  19. A. Maddi, A. Guessoum, and D. Berkani, “Design of nonlinear PID controllers based on hyper-stability criteria,” Proceedings of 15th Int. Conf. on Sciences and Techniques of Automatic Control, pp. 21–23, 2014.

    Google Scholar 

  20. A. Rezaei and F. Hashemzade, “Absolute stability of nonlinear systems with piecewise linear sector condition,” Int. J. of Computer Applications, vol. 134, no. 9, pp. 15–18, January 2016.

    Article  Google Scholar 

  21. V. Vijayan, S. Narayanan, P. Kanagasabapathy, and J. Prakash, “Stability analysis of first order plus time delay system under PI & PID control for simultaneous parameter variation,” Proc. of Annual IEEE India Conference, pp. 73–77, 2005.

    Google Scholar 

  22. L. Rundqwist, Anti-reset Windup for PID Controllers, Ph.D. Thesis, Department of Automatic Control, Lund Inst. of Technology, Sweden, 1991.

    Google Scholar 

  23. W. M Haddad and V. Chellaboina, Nonlinear Dynamical Systems and Control: A Lyapunov-Based Approach, Princeton University Press, pp. 372–387, 2007.

    Google Scholar 

  24. M. N. Anwar, M. Shamsuzzoha, and S. Pan, “A frequency domain PID controller design method using direct synthesis approach,” Arab J. Sci. Eng., vol. 40, pp. 995–1004, February 2015.

    Article  Google Scholar 

  25. M. Shamsuzzoha and M. Lee, “IMC-PID controller design for improved disturbance rejection of time-delayed processes,” Ind. Eng. Chem. Res., vol. 46, no. 7, pp. 2077–2091, March 2007.

    Article  Google Scholar 

  26. X. Yang, Bu Xu, and M. S. Chiu, “PID controller design directly from plant data,” Ind. Eng. Chem. Res., vol. 50, no. 3, pp. 1352–1359, February 2011.

    Article  Google Scholar 

  27. W. Zhang, Y. Xi, G. Yang, and X. Xu, “Design PID controllers for desired time-domain or frequency-domain response,” ISA Trans., vol. 41, no. 4, pp. 511–520, October 2002.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gang-Gyoo Jin.

Additional information

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

This paper was supported by Education and Research promotion program of KOREATECH in 2021.

Yung-Deug Son received his B.S. degree in control and instrumentation engineering from Korea Maritime University in 1997. He was a student researcher with Tokyo Institute of Technology, Japan, in 1998, and received an M.S. degree in from Kobe University of Mercantile Ocean Electro- Mechanical, Japan, in 2001, and a Ph.D. degree from the Department of Electrical Engineering, from Pusan National University, Busan, Korea, in 2015, respectively. From 2001 to 2009, he was a Senior Research Engineer with Hyundai Heavy Industries Co., Ltd. He has been with the School of Mechanical Facility Control Engineering, Korea University of Technology and Education (KOREATECH), where he is currently an assistant professor. His research interests include power conversion, electric machine drives and intelligent control.

Sang-Do Bin received his B.S. and M.S degrees in marine engineering from Korea Maritime University, in 1983 and 2013, respectively. He is currently working toward a Ph.D. degree in the Department of Mechatronics Engineering, Korea University of Technology and Education (KOREATECH). His research interests include intelligent control and optimization using generalized predictive control algorithms.

Gang-Gyoo Jin received his B.S. degree in marine engineering from Korea Maritime University and an M.S. degree in electrical, electronic and computer engineering from Florida Institute of Technology and a Ph.D. degree in electrical, electronic and system engineering from University of Wales Cardiff, in 1977, 1985, and 1996, respectively. His research interests include intelligent control, fractal technique, and optimization using genetic algorithms.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Son, YD., Bin, SD. & Jin, GG. Stability Analysis of a Nonlinear PID Controller. Int. J. Control Autom. Syst. 19, 3400–3408 (2021). https://doi.org/10.1007/s12555-020-0599-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-020-0599-y

Keywords

Navigation