INFLUENCE OF ELECTRICAL ACTUATOR PARAMETERS ON THE PROCESS OF IDENTIFICATION OF THE CONTROL OBJECT DYNAMICS

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). Е-mail: hryniuk@tut.by

  • Oliferovich Nadezhda Mikhaylovna − 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: 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). Е-mail: irina_x@rambler.ru

DOI: https://doi.org/10.52065/2520-6141-2022-260-2-80-86

Key words: identification, non-linear dynamics, constant speed electrical mechanism.

For citation:Hryniuk D. A., Oliferovich N. M., Suhorukova I. G., Orobei I. O. Influence of electrical actuator parameters on the process of identification of the control object dynamics dynamics. Proceedings of BSTU, issue 3, Physics and Mathematic. Informatics, 202, no. 2 (260), pp. 80–86 (In Russian). DOI: https://doi.org/10.52065/2520-6141-2022-260-2-80-86.

Abstract

The process variable control loops can use various equipment for technical implementation. When tuning the controllers of these systems and their modeling, both linear and non-linear properties of objects should be taken into account. When using electric actuator in control systems to move the valve, one should take into account the presence of significant non-linearities that can greatly affect the process, including identification.

To assess the influence of non-linear properties of electric drives of actuators, simulation modeling for various parameters of the object and non-linear properties of the drive was carried out. The speed of movement of the actuator was fixed, while the dynamics of the second order control object was changed in such a way that it was either faster or slower than the actuator. In addition, the ratio between the time response of the control object varied. Since the object has non-linear characteristics, the identification was performed with several variants of the reference signal.

The identification was carried out by minimizing the roof-mean-square deviation between the initial acceleration curve of the nonlinear object and the transfer function of the second and third orders. An analysis of the approximation results showed that the nonlinear properties of the actuator have a significant impact on the process of identifying the dynamic properties until time response of the object becomes much greater than the dynamics of the actuator. The rational order of the transfer function of the approximation of the control object is also determined by the relationship between the dynamics of the actuator and the dynamics of the control object. To linearize the nonlinear properties of the actuator, it is worth introducing a delay link into the transfer function.

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References

  1. B. Nesbitt, Valves manual international: handbook of valves and actuators. Butterworth-Heinemann, 2007. 540 p.
  2. Itkina D.M. Ispolnitel'nyye ustroystva sistem upravleniya v khimicheskoy i neftekhimicheskoy promyshlennosti [Actuators of control systems in the chemical and petrochemical industry]. Moscow, Khimiya Publ., 1984. 232 p. (In Russian).
  3. EnTech Control Valve Dynamic Specification (Version 3.0 11/98) Available at: https://www.emerson.com/documents/automation/manuals-guides-control-valve-dynamic-specificationpss-
    en-67756.pdf (accessed 25.03.2022).
  4. Control Valve Dynamic Performance Specification. Published on Friday 02-10-2020. Available at: https://www.industrialautomationindia.in/articleitm/10687/Control-Valve-Dynamic-Performance-Specification/
    articles (accessed 25.03.2022).
  5. Mikles J., Fikar M. Process Modelling, Identification, and Control. Berlin Heidelberg: Springer-Verlag, 2007. 497 p.
  6. Oliferovich N. M., Hryniuk D. A., Orobei I. O. Harmonic identification of technological objects in real time. Trudy BGTU [Proceedings of BSTU], 2016, no. 6: Physics and Mathematics. Informatics, pp. 117–121 (In Russian).
  7. Oliferovich N. M., Hryniuk D. A., Orobei I. O. Harmonic identification algorithms for technological objects and their approbation on a thermal object. Trudy BGTU [Proceedings of BSTU], 2017, no. 2: Physics and Mathematics. Informatics, pp. 76–81 (In Russian).
  8. Oliferovich N., Hryniuk D., I. Orobei. Harmonic identification of technological objects in real time. Electrical, Electronic and Information Sciences (eStream): Open Conference. Vilnius, 2016, pp. 1–4. DOI: 10.1109/eStream39242.2016.7485915.
  9. Oliferovich N., Hryniuk D., I. Orobei. The use of harmonic identification algorithms to air heat exchanger. Electrical, Electronic and Information Sciences (eStream): Open Conference. Vilnius, 2017. pp. 1–5. DOI: 10.1109/eStream.2017.7950326.
  10. Marozava M., Hryniuk D.. Experimental study of the variation dynamic’s for air heat exchanger. Mokslas – Lietuvos ateitis. Science – Future of Lithuania, 2017, vol. 9, no. 3, pp. 297–301.
  11. Hrinyuk D. A. Suhorukova I. G., Oliferovich N. M., Stabletskiy V. A. Assessment of the dynamics of temperature changes along the length of the metal rod. Avtomatizatsiya i energosberezheniye mashinostroitel'nogo i metallurgicheskogo proizvodstv, tekhnologiya i nadezhnost' mashin, priborov i oborudovaniya [Automation and energy saving of machine-building and metallurgical industries, technology and reliability of machines, instruments and equipment: materials of the XIII International Scientific and Technical Conference], Vologda, 2018, pp. 85–88 (In Russian).
  12. Dorfman K. D., Prodromos D. Numerical Methods with Chemical Engineering Applications. Cambridge University Press Publ., 2017. 511 p.
  13. Hryniuk D. A., Oliferovich N. M., Suhorukova I. G., Orobei I. O. Modeling and tuning control objects with nonlinear dynamics. Proceedings of BSTU, issue 3, Physics and Mathematics. Informatics, 2021, no. 2 (248), pp. 65–71 (In Russian).
15.06.2022