REDUCING THE INFLUENCE OF MEASURING CHANNEL INTERFERENCE IN A CLOSED-LOOP CONTROL SYSTEM

UDC 681.53

 

Hryniuk Dzmitry Anatol’yevich – PhD (Engineering), Associate Professor, Assistant Professor, the Department of Automation of Production Processes and Electrical Engineering. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: hryniuk@tut.by

Oliferovich Nadezhda Mikhaylovna – Senior Lecturer, the Department of Automation of Production Processes and Electrical Engineering. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: oliferovich@belstu.by Suhorukova Irina Gennad’yevna – Senior Lecturer, the Department of Software Engineering. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: irina_x@rambler.ru

Deineka Tatyana Aleksandrovna – assistant lecturer, the Department of Automation of Production Processes and Electrical Engineering. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). E-mail: tdein@rambler.ru.

Klyutko Mikhail Viktorovich – assistant lecturer, the Department of Automation of Production Processes and Electrical Engineering. Belarusian State Technological University (13a, Sverdlova str., 220006, Minsk, Republic of Belarus). Е-mail: mkliutko@gmail.com

 

DOI: https://doi.org/10.52065/2520-6141-2023-272-2-10 (In Russian).

 

Key wordsnon-linear filtering, controlled limiter, PID controller.

For citation: Hryniuk D. A., Oliferovich N. M., Suhorukova I. G., Deineka T. A., Klyutko M. V. Reducing the influence of measuring channel interference in a closed-loop control system. Proceedings of BSTU, issue 3, Physics and Mathematics. Informatics, 2023, no. 2 (272), pp. 58–70. DOI: 10.52065/2520-6141-2023-272-2-10 (In Russian).

Abstract

In the article, a study of the use of controlled limiters to suppress interference in the measuring channel of closed control loops was carried out. The presence of noise in the measuring channel during the control of technological processes makes it difficult to use differentiation to improve the dynamics, and also helps to reduce the life of the actuators of control systems. To reduce the effect of measuring channel noise on the regulation process, a controlled limiter was used as a filter. Various installation points and variants of the considered structure are proposed. In order to evaluate the effectiveness of the noise suppression structure, tuning was carried out for objects with different dynamics. Based on the analysis of the literature and preliminary studies, an integral criterion for the PID controller was chosen and the parameters were found at different noise levels. An assessment of the potential capabilities of a controlled limiter with a static level of limitation has been carried out. The dependences of the influence of the limiter parameters on the time of the transient process and the magnitude of the noise dispersion at the controller output are given. Dynamically changing the clipping level provided even more noise reduction. The conclusion is made about more stable operation of the limiter with a dynamic level when changing the system parameters. Cascading the use of controlled limiters improves the quality of noise suppression, but not as much as dynamically changing the clipping level. An algorithm for tuning a system with a controlled limiter to obtain suboptimal noise suppression is presented.

 

Download

References

1.Somefun O. A., Kayode A., Folasade D. The dilemma of PID tuning. Annual Reviews in Control, 2021, vol. 52, рp. 65–74.

  1. Borase R. P., Maghade D. K., Sondkar S. Y., Pawar S. N. A review of PID control, tuning methods and applications. International Journal of Dynamics and Control, 2021, vol. 9, рp. 818–827.
  2. Hu X., Hou G., Tan W. Tuning of PIDD2 controllers for oscillatory systems with time delays. Frontiers in Control Engineering, 2023, vol. 3, p. 32.
  3. Feng W., O’reilly J., Ballance DJ. Mimo nonlinear PID predictive controller. IEE Proceedings of Control Theory and Applications, 2002, vol. 149, no. 3, pp. 203–208.
  4. Han W., Hu X., Damiran U., Tan W. Design and implementation of high-order PID for second-order processes with time delay. Frontiers in Control Engineering, 2022, vol. 149, pp. 1–12. DOI: 10.3389/fcteg.2022.953477.
  5. Huba M., Vrancic D., Bistak P. PID control with higher order derivative degrees for IPDT plant models. IEEE Access, 2021, vol. 9, pp. 2478–2495. DOI: 10.1109/ACCESS.2020.3047351.
  6. Liptak B. G. Process control and optimization. Vol. II. CRC Press, Taylor & Francis Publ., 2006. 2460 p.
  7. Bobal V., Bohm J., Fessl J., Machacek J. Digital self-tuning controllers: algorithms, implementation and applications. Springer Publ., 2005. 317 p.
  8. King M. Process control: a practical approach. John Wiley & Sons Publ., 2016. 620 p. 10. Soltesz K., Grimholt Ch., Skogestad S. Simultaneous design of PID controller and measurement filter by optimization. IET Control Theory and Applications, 2017, vol. 11, pp. 341–348. DOI: 10.1049/ietcta.2016.0297.
  9. Vrančić D., Huba M. High-order filtered PID controller tuning based on magnitude optimum. Mathematics, vol. 9, p. 1340. DOI: 10.3390/math9121340.
  10. Segovia V. R., Tor H., Karl J. A. Design of measurement noise filters for PID control. IFAC Proceedings, 2014, vol. 47, no. 3, p. 8359–8364.
  11. Ning Z., Yao M., Huang Y., Zhou X., Zhang Ch. A measurement noise rejection method in the feedback control system based on noise observer. IEEE Sensors Journal, 2021, vol. 21, issue 2, pp. 1686– 1693. DOI: 10.1109/JSEN.2020.3015837.
  12. Hryniuk D. A., Oliferovich N. M., Suhorukova I. G., Orobei I. O. Modeling and tuning control objects with nonlinear dynamics. Trudy BGTU [Proceedings of BSTU], issue 3, Physics and Mathematics. Informatics, 2021, no. 2 (248), pp. 65–71 (In Russian). 15. Oliferovich N. M., Hryniuk D. A., Orobei I. O. The use of algorithmic approaches for smoothing of measurement information. Trudy BGTU [Proceedings of BSTU], issue 3, Physics and Mathematics. Informatics, 2017, no. 2 (200), pp. 82–87 (In Russian).
  13. Hryniuk D. A., Oliferovich N. M., Suhorukova I. G. Signal smoothing optimization. Trudy BGTU [Proceedings of BSTU], issue 3, Physics and Mathematics. Informatics, 2021, no. 2 (248), pp. 72–79 (In Russian).
  14. Hryniuk D., Suhorukova I., Oliferovich N. Adaptive smoothing and filtering in transducers. Electrical, Electronic and Information Sciences (eStream): Open Conference. Vilnius, 2016, pp. 1–4. DOI: 10.1109/eStream39242.2016.7485917.
  15. Hägglund T. Signal Filtering in PID Control. IFAC Proceedings Volumes (IFAC Papers-OnLine). 2012, vol. 2, issue 3, pp. 1–10. DOI: 10.3182/20120328-3-IT-3014.00002.
  16. Hryniuk D. A., Zharskii S. E., Orobei I. O., Strunevskaja T. N. Optimization of filter parameters with controlled saturation/limiter of low level signals. Nauka i Tekhnika [Science & Technique], 2003, no. 5, pp. 32–34. DOI: 10.21122/2227-1031-2003-0-5-32-34 (In Russian).
  17. Bialetski Y., Hryniuk D. Controlled Limiter in the Synchronous Detection Circuit. Science – Future of Lithuania Elektronika ir elektrotechnika Electronics and Electrical Engineering, 2017, vol. 9, issue 3, pp. 289–292.
  18. Oliferovich N. M., Hryniuk D. A., Orobei I. O., Suhorukova I. G. Deadbeat controller with predictable level of control signal. Trudy BGTU [Proceedings of BSTU], issue 3, Physics and Mathematics. Informatics, 2018, no. 2 (212), pp. 89–95 (In Russian).
  19. Hryniuk D. A., Oliferovich N. M., Suhorukova I. G. Method of PID-controller tuning through deadbeat-regulator for various integral criteria. Trudy BGTU [Proceedings of BSTU], issue 3, Physics and Mathematics. Informatics, 2019, no. 2 (224), pp. 66–73 (In Russian).
  20. Hryniuk D., Oliferovich N., Suhorukova I. Approximation PID-controllers through deadbeat controller and its tuning. Electrical, Electronic and Information Sciences (eStream): Open Conference. Vilnius, 2019, pp. 1–4. DOI: 10.1109/eStream.2019.8732172.
  21. Hryniuk D., Oliferovich N., Suhorukova I. Deadbeat controller with a prescribed controlled variable for several steps. Electrical, Electronic and Information Sciences (eStream): Open Conference. Vilnius, 2020, pp. 1–6. DOI: 10.1109/eStream50540.2020.9108878.

 

Поступила после доработки 15.05.2023