Preview

Robust syntesis of the proportional integral diferential controller for discret-continuous system

https://doi.org/10.21122/2309-4923-2025-3-35-39

Abstract

This article is aimed to improve the robust synthesis of the discrete proportional-integraldifferential (PID) controller with first and second derivatives in the control law. The PID control tuning and synthesis methods are based, in many cases, on the experimental or online information without mathematical model. Also, the fuzzy PID control is in usage. The synthesis problem of PID control still actual, because of plant uncertainty and perturbations. Then, the enhanced PIDm control with m-order derivatives in the control law is offered in this article. The proposal is based on the modal control with high amplification in the PIDm control channel. That provide the domination of the controller parameters in the system when plant parameters are uncertain. However, in case of the discrete (digital) control, the linear system stability is bounded by the amplification values, so the additional analysis is required. The analysis is accomplished of the system with PID controllers in cases of m = 1 and m = 2. The expressions are established for PID controllers parametrization. The developed PID parametrization can be evaluate for m ≥ 2. The simulation is accomplished of the systems with proposed parametrization of PIDm controllers for m = 1 and m = 2 cases. The results of the simulation show the effectiveness of the proposed technique of synthesis in conditions of plant perturbations.

About the Author

O. F. Opeiko
Belarusian National Technical University
Belarus

Olga F. Opeiko –
PhD of Engineering Sciences. Associate Professor. Leading Researcher.

Minsk



References

1. Ziegler JG, Nichols NB, Rochester NY. Optimum Setting for Automatic Controllers. Transactions of the ASME.1942;64:759–768.

2. Astrom KJ, Hagglund T. Advanced PID Control. ISA; 2006. 461 p.

3. O‘Dwyer A. Handbook of PI and PID Controller Tuning Rules. London, UK: Imperial College Press; 2003. 392 p.

4. Vukosavic SN. Digital Control of Electrical Drives. Boston: Springer; 2007. 352 p.

5. Keel LH, Bhattacharyya SP. Controller Synthesis Free of Analytical Models: Three Term Controllers. IEEE Transactions on Automatic Control. 2008;53(6):1353–1369. DOI: 10.1109/TAC.2008.925810

6. Kulakov GT, Kulakov AT, Kravchenko VV, Kukhorenko AN, Vojush NV. Control system theory: handbook. Minsk: Vysheishaia shkola; 2022. 197 p. (in Russian).

7. Pajchrowski T, Zawirski K, Nowopolski K. Neural Speed Controller Trained Online by Means of Modified RPROP Algorithm. IEEE Transactions on Industrial Informatics. 2015;11(2):560–568. DOI: 10.1109/TII.2014.2359620

8. Kulkarni P, Kulkarni O, Sayyad JK. Tuning of a Robotic Arm using PID Controller for Robotics and Automation Industry. 2024 6th International Conference on Energy, Power and Environment (ICEPE). Shillong, India; 2024. pp. 1-6. DOI: 10.1109/ICEPE63236.2024.10668952

9. Han J. From PID to Active Disturbance Rejection Control. IEEE Transactions on Industrial Electronics. 2009;56(3):900-906. DOI: 10.1109/TIE.2008.2011621

10. Meerov MV. High precision control structure synthesis. Moskow: Nauka; 1967. 423 p. (in Russian).

11. Jury EI. Inners and Stability of Dynamic Systems. New York-London-Sydney-Toronto: John Willey & Sons; 1974. 308 p.

12. Opeiko OF. Robust Synthesis of Discrete PID Controllers for Objects with Interval Parameters. Mekhatronika, Avtomatizatsiya, Upravlenie. 2018;19(6):374-379 (in Russian). DOI: 10.17587/mau.19.374-379

13. Opeiko OF. Output control with adaptive-proportional differential controller. Sistemnyi analiz i prikladnaia informatika [System analysis and applied information science]. 2016;3:35-39. (in Russian). Available at: https://rep.bntu.by/handle/data/26358


Review

For citations:


Opeiko O.F. Robust syntesis of the proportional integral diferential controller for discret-continuous system. «System analysis and applied information science». 2025;(3):35-39. (In Russ.) https://doi.org/10.21122/2309-4923-2025-3-35-39

Views: 156


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2309-4923 (Print)
ISSN 2414-0481 (Online)